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H?Jek-Rényi Type Inequalities And Strong Law Of Large Numbers For Nod Sequences, Ma Songlin
H?Jek-Rényi Type Inequalities And Strong Law Of Large Numbers For Nod Sequences, Ma Songlin
Applied Mathematics & Information Sciences
In the paper, we get the precise results of H´ajek-R´enyi type inequalities for the partial sums of negatively orthant dependent sequences, which improve the results of Theorem 3.1 and Corollary 3.2 in Kim (2006). In addition, the Marcinkiewicz type strong law of large numbers is obtained. At last, the strong stability for weighted sums of negatively orthant dependent sequences is discussed.
A Parallel Computing Method Of Social Tag Cooccurrence Relation, Xiangqian Wang, Huizong Li, Yerong He
A Parallel Computing Method Of Social Tag Cooccurrence Relation, Xiangqian Wang, Huizong Li, Yerong He
Applied Mathematics & Information Sciences
Cooccurrence relation extraction of abundant tags is very significant for information retrieve and tag recommendation. This paper presents a parallel extraction method of tag cooccurrence relation based on cloud computing. At last, two experiments show that the parallel extraction method can improve the performance of retrievals greatly and have good scalability. The research may play a role in the facilitative effect on the expanding application of social tagging system with abundant, multiplex, complex annotated data.
A Dynamic Programming Algorithm For Circular Single-Stranded Dna Tiles Secondary Structure Prediction, Zhang Kai, Huang Xinquan, Shi Xiaolong, Qiang Xiaoli, Song Tao, Shi Xinzhu
A Dynamic Programming Algorithm For Circular Single-Stranded Dna Tiles Secondary Structure Prediction, Zhang Kai, Huang Xinquan, Shi Xiaolong, Qiang Xiaoli, Song Tao, Shi Xinzhu
Applied Mathematics & Information Sciences
The design of DNA sequences is critical for many research fields such as DNA self-assembly, DNA hybridization arrays, DNA computing, and PCR-based applications. DNA secondary structure prediction is the key part for these DNA nanotechnologies. In this paper, we present a dynamic programming algorithm to predict the secondary structure of single-stranded DNA tiles. The algorithm calculates all possible maximum matches based on the nearest-neighbour model and global energy minimization. Experimental results show that the algorithm performers significantly to predict secondary structures for single-stranded DNA tiles.
Q-Beta Polynomials And Their Applications, Yilmaz Simsek
Q-Beta Polynomials And Their Applications, Yilmaz Simsek
Applied Mathematics & Information Sciences
The aim of this paper is to construct generating functions for q-beta polynomials. By using these generating functions, we define the q -beta polynomials and also derive some fundamental properties of these polynomials. We give some functional equations and partial differential equations (PDEs) related to these generating functions. By using these equations, we find some identities related to these polynomials, binomial coefficients, the gamma function and the beta function. We obtain a relation between the qbeta polynomials and the q-Bernstein basis functions. We give relations between the q-Beta polynomials, the Bernoulli polynomials, the Euler polynomials and the Stirling numbers. We …
Online Anomaly Detection For Service-Oriented Components In Osgi-Based Applications, Tao Wang, Jun Wei, Wenbo Zhang, Hua Zhong
Online Anomaly Detection For Service-Oriented Components In Osgi-Based Applications, Tao Wang, Jun Wei, Wenbo Zhang, Hua Zhong
Applied Mathematics & Information Sciences
OSGi has become one of the most promising frameworks for managing service-oriented and component-based applications. The OSGi-based service-oriented components delivered by different vendors are usually black-box program units which lack source code and design documents. Thus, it is difficult to evaluate their quality by static code analysis, and the defective components may lead to the failure of the whole system eventually. In this paper, we propose an online method for detecting anomalous service-oriented components in OSGi-based applications. A thread-tracing method is presented to monitor resource utilization and interactions between components. The method considers both the dynamic service invocation and static …
Methods For Optimizing Opencl Applications On Heterogeneous Multicore Architectures, Slo-Li Chu, Chih-Chieh Hsiao
Methods For Optimizing Opencl Applications On Heterogeneous Multicore Architectures, Slo-Li Chu, Chih-Chieh Hsiao
Applied Mathematics & Information Sciences
Heterogeneous multicore architectures with CPU and add-on GPUs or streaming processors are now widely used in computer systems. These GPUs provide substantially more computation capability and memory bandwidth compared to traditional multi-cores. Also, because they are highly programmable, they provide the computational performance needed for realistic graphics rendering. Applications with general computations can also be leveraged onto these GPUs. This study discusses the architectures of these highly efficient GPUs and applies a unified programming standard called OpenCL to fully utilize their capabilities. Despite their great potential, applications of these GPUs are challenging because of their diverse underlying architectural characteristics. In …
Prediction Of Gas Emission Based On Partial Correlation Analysis And Svr, Li Yang, Chengcheng Liu
Prediction Of Gas Emission Based On Partial Correlation Analysis And Svr, Li Yang, Chengcheng Liu
Applied Mathematics & Information Sciences
The prediction model of gas emission is established based on partial correlation analysis and support vector regression (SVR) in order to accurately predict gas emission of working face under the condition of small samples. Not only are the problems of small samples and nonlinear prediction effectively resolved by applying SVR, but also the main control factors of gas emission are selected by applying partial correlation analysis method, which can reduce variables space dimension of the model to improve prediction accuracy. Through empirical analysis, the superiority of the model is proved by prediction results that are quite close to the measured …
Energy-Efficient Coverage Quality Guaranteed In Wireless Sensors Network, Tao Yang, Dejun Mu, Wei Hu
Energy-Efficient Coverage Quality Guaranteed In Wireless Sensors Network, Tao Yang, Dejun Mu, Wei Hu
Applied Mathematics & Information Sciences
Wireless sensor network is always deployed randomly in specific area for intrusion detection and environmental monitoring. Due to the hostile environment, the sensor nodes could not be replaced easily. The efficient energy consumption scheme is known to be more and more important. Meanwhile, saving the energy could not impact the coverage quality. Connecting proper sensors adaptively as a barrier for monitoring is a good solution for both maximizing network lifetime and providing predetermined coverage ratio. The simulation results demonstrate that the algorithms can effectively reduce the energy consumption of the wireless sensor network and also keep the coverage quality on …
Approximate Completed Trace Equivalence Of Three Dimensional T-Model Nonlinear Algebraic Hybrid Systems, Hao Yang, Jinzhao Wu, Zhiwei Zhang, Yang Liu
Approximate Completed Trace Equivalence Of Three Dimensional T-Model Nonlinear Algebraic Hybrid Systems, Hao Yang, Jinzhao Wu, Zhiwei Zhang, Yang Liu
Applied Mathematics & Information Sciences
In order to optimize programs of three dimensional t-model nonlinear algebraic Hybrid Systems and eliminate system states, approximate completed trace equivalence of three dimensional t-model nonlinear algebraic Hybrid Systems is proposed. Firstly, the three dimensional t-model nonlinear algebraic program is used to describe the system continuous transition behavior. Then, the approximate of three dimensional t-model nonlinear algebraic Hybrid System is established.Whether trace is approximate or not could be decided through three dimensional t-model nonlinear algebraic Hybrid System trace approximate algorithm. Next, it put forward the approximate completed trace equivalence of three dimensional t-model nonlinear algebraic Hybrid Systems. It can optimize …
Network And Economic Trade-Off Performance Regions Of Cognitive Radio Systems With Power Control, Ramiro S?Mano-Robles, At?Lio Gameiro
Network And Economic Trade-Off Performance Regions Of Cognitive Radio Systems With Power Control, Ramiro S?Mano-Robles, At?Lio Gameiro
Applied Mathematics & Information Sciences
Cognitive radio will enable terminals with access to licensed and unlicensed portions of the spectrum. This feature is expected to solve bandwidth scarcity problems in future wireless networks. However, different parts of the spectrum will be subject not only to different propagation conditions, but also to different licensing and billing agreements. Therefore, in order to obtain the major profit and spectrum efficiency, resource allocation algorithms must now target both network and economic performance metrics. This problem can be conveniently expressed as a multi-objective portfolio optimization problem, which has been studied in detail in the field of economics. This paper addresses …
Novel Approach Of Edges Detection For Digital Images Based On Hybrid Types Of Entropy, Mohamed A. El-Sayed, Sayed F. Bahgat, S. Abdel-Khalek
Novel Approach Of Edges Detection For Digital Images Based On Hybrid Types Of Entropy, Mohamed A. El-Sayed, Sayed F. Bahgat, S. Abdel-Khalek
Applied Mathematics & Information Sciences
Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging applications. Most of the classical methods for edge detection are based on the first and second order derivatives of gray levels of the pixels of the original image. These processes give rise to the exponential increment of computational time. This paper shows the new algorithm based on both the Tsallis entropy and the Shannon entropy together for edge detection using split and merge technique. The objective is to find the best edge representation and minimize the …
A Predictive Model For Patent Registration Time Using Survival Analysis, Sunghae Jun, Daiho Uhm
A Predictive Model For Patent Registration Time Using Survival Analysis, Sunghae Jun, Daiho Uhm
Applied Mathematics & Information Sciences
The infringements and suits of patents have been increased in many technological fields. Since a patent is an intellectual property to protect inventors’ exclusive rights of developed technologies, technological pre-occupancy is very important to the development of companies. For the technological pre-occupancy a patent registration time is surely important. In this paper we propose a predictive model of the patent registration time using survival analysis with a Weibull survival regression model and a Cox’s proportional hazard model. They are modeled on the number of international patent classifications (IPC) codes and keywords. To verify the proposed models, we perform a case …
Preconditioned Modified Explicit Decoupled Group For The Solution Of Steady State Navier-Stokes Equation, Norhashidah Hj. Mohd Ali, Abdulkafi Mohammed Saeed
Preconditioned Modified Explicit Decoupled Group For The Solution Of Steady State Navier-Stokes Equation, Norhashidah Hj. Mohd Ali, Abdulkafi Mohammed Saeed
Applied Mathematics & Information Sciences
Combining iterative schemes with suitable preconditioners may improve the rate of the convergence of the methods. However, the real difficulty lies in the construction of the correct preconditioners applied to the formulated schemes. In this paper, the Modified Explicit Decoupled Group Successive Over-Relaxation method is formulated to solve the two dimensional steady-state Navier-Stokes equations. A new block splitting preconditioned matrix is applied to the formulated scheme as an effort to accelerate the convergence rate. Numerical experiments are carried out to confirm the effectiveness of the preconditioner in terms of accuracy and execution timings. Comparison with its unpreconditioned counterpart will also …
Imex Weno Schemes For Two-Phase Flow Vertical Equilibrium Processes In A Homogeneous Porous Medium, R. Donat, F. Guerrero, P. Mulet
Imex Weno Schemes For Two-Phase Flow Vertical Equilibrium Processes In A Homogeneous Porous Medium, R. Donat, F. Guerrero, P. Mulet
Applied Mathematics & Information Sciences
The motion of two-phase flow in a porous medium under the condition of vertical equilibrium can be described by a viscous conservation law that involves a non-convex flux function with two inflection points. In [5], a first order Godunov scheme was used to numerically approximate solutions of the model. In this paper we show that using instead the high resolutionWeighted Essentially Non Oscillatory (WENO) technology, and an IMEX strategy to handle the capillary term by an implicit discretization, leads to a noticeable increase in resolution power and efficiency. We carefully discuss the implementation of WENO schemes for the model equation, …
A Note On The Definition Of A–Limit Set, Francisco Balibrea, Juan L.G. Guirao, Marek Lampart
A Note On The Definition Of A–Limit Set, Francisco Balibrea, Juan L.G. Guirao, Marek Lampart
Applied Mathematics & Information Sciences
Many phenomena coming from the biology, economy, engineering are modeled using discrete dynamical systems. The concept of backward orbit is an essential concept for understanding the dynamics of the system. In the literature various definitions of the concept of the alpha–limit point (respectively set) have been historically used. The aim of this paper is to analyze the forcing relationships between them via the proof of the valid relationships and the construction of counterexamples for the converse situation in order to clarify the scenario for the computation of these objects. Moreover, we present a discrete dynamical system (X, f ) with …
An Improved Multi-Objective Genetic Algorithm For Solving Multi-Objective Problems, Sheng-Ta Hsieh, Shih-Yuan Chiu, Shi-Jim Yen
An Improved Multi-Objective Genetic Algorithm For Solving Multi-Objective Problems, Sheng-Ta Hsieh, Shih-Yuan Chiu, Shi-Jim Yen
Applied Mathematics & Information Sciences
Multi-objective optimization (MO) has been an active area of research in the last two decades. In multi-objective genetic algorithm (MOGA), the quality of newly generated offspring of the population will directly affect the performance of finding the Pareto optimum. In this paper, an improved MOGA, named SMGA, is proposed for solving multi-objective optimization problems. To increase efficiency during solution searching, an effective mutation named sharing mutation is adopted to generate potential offspring. Experiments were conducted on CEC-09 MOP test problems. The results show that the proposed method exhibits better performance when solving these benchmark problems compared to related multi-objective evolutionary …
Numerical Simulating Nonlinear Effects Of Ultrasonic Propagation On High-Speed Ultrasonic Gas Flow Measurement, Li Yue-Zhong, Wu Jiang-Tao, Hu Kai-Ming
Numerical Simulating Nonlinear Effects Of Ultrasonic Propagation On High-Speed Ultrasonic Gas Flow Measurement, Li Yue-Zhong, Wu Jiang-Tao, Hu Kai-Ming
Applied Mathematics & Information Sciences
The effects of nonlinear ultrasonic propagation on high-speed ultrasonic gas flow measurement are analyzed based on the sound line equation derived from Snell’s geometric acoustic law. A mathematical model for the ultrasonic propagation path in ultrasonic flowmeter pipe is built, and the relationship between x and r is calculated by MATLAB programming and ode45 simulating. The ultrasonic propagation path at the flow rate of 3∼30m/s is simulated in the assumed boundary conditions of the pipeline, transducer installation and fluid state. It shows that the nonlinear propagation characteristics cause the large deviations of the position of received ultrasonic waves in conditions …
Performance Analysis Of Sr-Arq Based On Geom/G/1/¥ Queue Over Wireless Link, Suoping Li, Yongqiang Zhou
Performance Analysis Of Sr-Arq Based On Geom/G/1/¥ Queue Over Wireless Link, Suoping Li, Yongqiang Zhou
Applied Mathematics & Information Sciences
Selective-Repeat ARQ (Automatic Repeat reQuest) protocol is the most efficient error control technology in wireless because it allows the transmitter to retransmit only negatively acknowledges (NACK) packets. In this paper, by analyzing the transmission mechanism of SR-ARQ, the discrete-time Geom/G/1/ queue model is established sententiously based on equivalent delay under the condition that the numbers of packets entering the transmitter are assumed to be independent and identically distributed random variables. With the method of embedded Markov chain, the expression formulations of the packet mean waiting delay, system mean delay and channel utilization are explicitly obtained. And then, the sliding window …
Design Of Hexi Cipher For Error Correction — Using Quasi Cyclic Partial Hexi Codes, K. Ilanthenral, K. S. Easwarakumar
Design Of Hexi Cipher For Error Correction — Using Quasi Cyclic Partial Hexi Codes, K. Ilanthenral, K. S. Easwarakumar
Applied Mathematics & Information Sciences
This paper presents a new cipher called the hexi cipher which makes use of a new class of codes called quasi cyclic partial hexi codes. This hexi cipher is a modification of the Advanced Encryption Standard (AES). It alters the mixed column operation of the AES and makes use of quasi cyclic partial hexi codes for error correction instead of the Maximum Distance Separable (MDS) code that has no error correcting capacity within the AES. The hexi cipher has the capacity to detect 99% of the errors and correct nearly 25% of the errors that occur, thus, it has a …
Multiple Virtual Machines Resource Scheduling For Cloud Computing, Weizhe Zhang, Hui He, Gui Chen, Jilong Sun
Multiple Virtual Machines Resource Scheduling For Cloud Computing, Weizhe Zhang, Hui He, Gui Chen, Jilong Sun
Applied Mathematics & Information Sciences
Cloud computing emerges as a new computing paradigm concerned by both academia and industry. Resource management of multiple virtual machines is the core of Infrastructure as a Service. Focusing on the CPU resources, the purpose of this paper is to increase the QoS of web service by properly scheduling the CPU resource across the virtualmachines.We formulate the CPU scheduling of multiple virtual machines into an integer programming problem. Then, a global regulation algorithm based on utility optimization theory is proposed. Experimental result s show that the regulation system of CPUs can significantly improve the performance of Web applications.
Reducing Resource Over-Provisioning Using Workload Shaping For Energy Efficient Cloud Computing, Woongsup Kim, Jaha Mvulla
Reducing Resource Over-Provisioning Using Workload Shaping For Energy Efficient Cloud Computing, Woongsup Kim, Jaha Mvulla
Applied Mathematics & Information Sciences
Using workload shaping technology, we present an approach to remove hardware over-provisioning implementing task buffers and scheduler, in terms of energy consumption. Task buffers reorder tasks with various priorities and routes them to appropriate virtual machines. Scheduler monitors the task buffering and hardware load status, and decides the optimal number of active physical and virtual machines. In addition, we designed a mechanism wherein tasks with fast executing are routed in fast and high energy consumption machines and slow tasks to slow and low energy consumption machines. As a result, our approach efficiently can shape workloads and manage the optimal number …
A Recurrent Neural Network–Based Forecasting System For Telecommunications Call Volume, Paris Mastorocostas, Constantinos Hilas, Dimitris Varsamis, Stergiani Dova
A Recurrent Neural Network–Based Forecasting System For Telecommunications Call Volume, Paris Mastorocostas, Constantinos Hilas, Dimitris Varsamis, Stergiani Dova
Applied Mathematics & Information Sciences
A recurrent neural network–based forecasting system for telecommunications call volume is proposed in this work. In particular, the forecaster is a Block–Diagonal Recurrent Neural Network with internal feedback. Model’s performance is evaluated by use of real–world telecommunications data, where an extensive comparative analysis with a series of existing forecasters is conducted, including both traditional models as well as neural and fuzzy approaches.
Visibility Resolution With Polar Diagrams, Lidia Ortega, M. Dolores Robles-Ortega
Visibility Resolution With Polar Diagrams, Lidia Ortega, M. Dolores Robles-Ortega
Applied Mathematics & Information Sciences
Visibility determination is an essential topic in computer graphics when visualizing large scenes. This problem can be addressed using many different techniques, but most of them discard obtaining an exact visible set because it is more time consuming compared with the solution provided by the graphics hardware. However the problem remains if the scenes must be visualized in a mobile device and the visible scene must be transmitted via the Internet. In this paper we introduce a new approach based on ray shooting for obtaining an exact visibility set in polygonal scenes in R2 and prism-shaped objects in R3. In …
Stability Results In Intuitionistic Fuzzy Normed Spaces For A Cubic Functional Equation, M. Mursaleen, Khursheed J. Ansari
Stability Results In Intuitionistic Fuzzy Normed Spaces For A Cubic Functional Equation, M. Mursaleen, Khursheed J. Ansari
Applied Mathematics & Information Sciences
In this paper, we determine some stability results concerning the cubic functional equation kf(x + ky) + f(kx − y) = k(k2 + 1) 2 [f(x + y) + f(x − y)] + (k 4 − 1)f(y), where k ≥ 2 is a fixed integer, in the setting of intuitionistic fuzzy normed spaces (IFNS). Further we study the intuitionistic fuzzy continuity through the existence of a certain solution of a fuzzy stability problem for approximately cubic functional equation.
A Method For Low-Overhead Secure Network Coding, Song Fei, Cui Zhe
A Method For Low-Overhead Secure Network Coding, Song Fei, Cui Zhe
Applied Mathematics & Information Sciences
This paper presents a low-overhead secure network coding scheme. The randomness of chaotic sequence is extremely sensitive to initial conditions characteristic of the program, the combination of the chaotic sequence with the original source message vector to construct a new cryptosystem to achieve the perfect secrecy of the encoding scheme. The program only in the original random network coding system based on the source changes, the intermediate nodes remain unchanged; added only an interference signal at the source to guarantee the security of the encoding scheme. The analysis results show that the scheme can guarantee perfect secrecy, and send signals …
A Maximum Lifetime Algorithm For Data Gathering Without Aggregation In Wireless Sensor Networks, Junbin Liang, Taoshen Li
A Maximum Lifetime Algorithm For Data Gathering Without Aggregation In Wireless Sensor Networks, Junbin Liang, Taoshen Li
Applied Mathematics & Information Sciences
Data gathering in wireless sensor network (WSN) has attracted a lot of attention in research. Data gathering can be done with or without aggregation, depending on the degree of correlation among the source data. In this paper, we study the problem of data gathering without aggregation, aiming to conserving the energy of sensor nodes so as to maximize the network lifetime. We model the problem as one of finding a min-max-weight spanning tree (MMWST), which is shown to be NP-complete. In MMWST, the maximum weight of the nodes is minimized. The weight of a node in the tree equals the …
Mendelian And Non-Mendelian Quadratic Operators, Nasir Ganikhodjaev, Mansoor Saburov, Uygun Jamilov
Mendelian And Non-Mendelian Quadratic Operators, Nasir Ganikhodjaev, Mansoor Saburov, Uygun Jamilov
Applied Mathematics & Information Sciences
In this paper, we attempt to provide mathematical models of Mendelian and Non-Mendelian inheritances of the bisexual population system having Fisher’s 1:1 principle. In our model, we always assume that distributions of the same phenotype of female and male populations are equal. We study the evolution of a Mendelian trait. As an application of a non-Mendelian inheritance, we construct a quadratic stochastic operator that describes transmission of ABO and Rh blood groups.
Mutual Information Criterion-Based Optimal Scale Selection For Image Denoising And Segmentation, Tiexiang Wen, Qingsong Zhu, Jia Gu
Mutual Information Criterion-Based Optimal Scale Selection For Image Denoising And Segmentation, Tiexiang Wen, Qingsong Zhu, Jia Gu
Applied Mathematics & Information Sciences
Scale-spaces play an important role in many computer vision tasks. Automatic scale selection is at the foundation of multiscale image analysis, but its performance is still very subjective and empirical. To automatically select the appropriate scale for a particular issue, a scale selection model based on information theory is proposed in this paper. The proposed model utilizes mutual information as a measuring criterion of similarity for the optimal scale selection in multi-scale analysis, with applications to image denoising and segmentation. Firstly, we focus on the morphological operator based scale selection to image denoising. This technique does not require the prior …
Multi-Channel Framework For Body Area Network In Health Monitoring, Nabil Ali Alrajeh, Shafiullah Khan, Carlene E-A Campbell, Bilal Shams
Multi-Channel Framework For Body Area Network In Health Monitoring, Nabil Ali Alrajeh, Shafiullah Khan, Carlene E-A Campbell, Bilal Shams
Applied Mathematics & Information Sciences
Increasing use of wireless networks has empowered the facility of ubiquitous health monitoring especially in advanced countries. Various small devices are attached to human body forming personalized wireless body area network (WBAN). These small devices interact with each other using different radios and antennas schemes proposed by many researchers around the globe. However, most of these schemes are facing problem of inefficiency due to fading and shadowing effects. We propose a novel multi-radio multichannel framework for efficient communication among devices in WBAN. The focus of this research is to ensure energy efficient and reliable communication in WBAN.
Certain Properties Of A Subclass Of Harmonic Functions, Elif Yaşar, Sibel Yalçın
Certain Properties Of A Subclass Of Harmonic Functions, Elif Yaşar, Sibel Yalçın
Applied Mathematics & Information Sciences
In the present paper, we investigate some basic properties of a subclass of harmonic functions defined by multiplier transformations. Such as, coefficient inequalities, distortion bounds and extreme points.