Digital Commons Network^™

Oscillation Theorems For Second-Order Nonlinear Dynamic Equation On Time Scales, M.Tamer Şenel

Applied Mathematics & Information Sciences

This paper concerns the oscillation of solutions to the second order non-linear dynamic equation (r(t)xD (t))D + p(t) f (xs (t))g(xD (t)) = 0 on a time scale T which is unbounded above. By using a generalized Riccati transformation and integral averaging technique, we establish some new sufficient conditions which ensure that every solution of this equation oscillates.

Smp2-Based Architecture For Navigation Satellite System Simulation, Hou Hongtao, Li Qun, Wang Chao

Applied Mathematics & Information Sciences

The Performance Simulation for the Global Navigation Satellite System (GNSS), which can be used in the performance simulation and evaluation analysis of the Service Volume Segment of the GNSS is a part of the critical algorithm test and system index analysis for the GNSS. In this article, the requirements and features of the GNSS are analyzed firstly, and the method of performance simulation for the GNSS is studied. Then, the system operation architecture and model integration architecture based on compassable simulation based on SimulationModel Portability (SMP2) is proposed. The system architecture consists of model design, development, integrating, executing and analysis, …

Optimizing Dns Server Selection, Zheng Wang, Rui Wang

Applied Mathematics & Information Sciences

In DNS zone delegation, the NS resource records of the delegated domain appear in both the parent and child zones, which complicates the domain name resolution procedure especially for server selection. In this paper, we investigate the recursive resolution mechanism for the delegated domain and the necessary operations. As there are no specifications for such resolution, we provide some recommendations such as NS record substitution mechanism. Furthermore, we analyze the delegation impacts on server selection as the NS records are obtained from both parent and child zone. We propose an integrated sever selection procedure to handle the lame delegation and …

A Topic Detection Approach Through Hierarchical Clustering On Concept Graph, Xiaohui Huang, Xiaofeng Zhang, Yunming Ye, Shengchun Deng, Xutao Li

Applied Mathematics & Information Sciences

Topic detection and tracking (TDT) algorithms have long been developed for the discovery of topics. However, most existing TDT algorithms suffer from paying less attention to: (1) temporal distance between a pair of topics; (2) the mutual effect between highly correlated topic terms. In this paper, we proposed a novel topic detection approach by applying hierarchical clustering on the constructed concept graph (HCCG), which is able to solve aforementioned shortcomings simultaneously. In this approach, the concept is first defined as well as the concept behavior curve. Then, the temporal graph is constructed with concept as vertexes and connected by the …

The New Lte Cryptographic Algorithms Eea3 And Eia3 Verification, Implementation And Analytical Evaluation, Ghizlane Orhanou, Said El-Hajji

Applied Mathematics & Information Sciences

A new set of cryptographic algorithms is being proposed for inclusion in the ”4G” mobile standard called LTE (Long Term Evolution), and the algorithms are open for public evaluation. The new set of confidentiality and integrity algorithms EEA3/EIA3 is based on the new stream cipher ZUC. In the present paper, we are interested in making the verification and the implementation as well as performing the analytical analysis of the two algorithms, as we have done, in previous works, with the first two sets of the LTE cryptographic algorithms EEA1/EIA1 and EEA2/EIA2. The verification of the confidentiality algorithm results on a …

Video Forensic Marking Algorithm Using Peak Position Modulation, Jihah Nah, Jongweon Kim, Jaeseok Kim

Applied Mathematics & Information Sciences

Forensic marking, a type of watermarking, is an efficient means of detecting copyright violation and tracing unauthorized access to digital content. In this paper, a new video forensic marking algorithm is proposed which uses peak position modulation (PPM) and can embed sufficient information to trace an illegal distributor. PPMuses the positions of correlation peaks, which are modulated by user information. Furthermore, a forensic mark is embedded into a 2-level 3D discrete wavelet transform (DWT) domain. Experimental results show the robustness against various attack and the capacity improvement of proposed algorithm.

Particle Swarm Optimization Algorithm For Multi- Salesman Problem With Time And Capacity Constraints, Shanchen Pang, Tan Li, Feng Dai, Meng Yu

Applied Mathematics & Information Sciences

Classic multiple traveling salesman problem (MTSP) requires to find the k closed circular paths which minimize the sum of the path lengths, and each vertex is visited only once by a salesman. This paper presents an optimized model for the balanced Multiple-salesman Problem with time and capacity constraints, it requires that a salesman visits each vertex at least once and returns to the starting vertex within given time. The balanced MSP is more widely used than MTSP. We describe a particle swarm optimization algorithm for balanced MSP and explain its simple application in the Post Office Scheduling Problem.We demonstrate the …

Modeling Based On Elman Wavelet Neural Network For Class-D Power Amplifiers, Li Wang, Jie Shao, Yaqin Zhong, Weisong Zhao, Reza Malekian

Applied Mathematics & Information Sciences

In Class-D Power Amplifiers (CDPAs), the power supply noise can intermodulate with the input signal, manifesting into power-supply induced intermodulation distortion (PS-IMD) and due to the memory effects of the system, there exist asymmetries in the PS-IMDs. In this paper, a new behavioral modeling based on the Elman Wavelet Neural Network (EWNN) is proposed to study the nonlinear distortion of the CDPAs. In EWNN model, the Morlet wavelet functions are employed as the activation function and there is a normalized operation in the hidden layer, the modification of the scale factor and translation factor in the wavelet functions are ignored …

New Multi-Path Routing Protocol In Ad Hoc Network, Chaoyi Zhang, Yandong Zhao

Applied Mathematics & Information Sciences

This paper aims at the topological structure of traditional Ad Hoc network model, proposes an original multi-path network model which based on graph theory analysis. On this foundation, linear program theory is used to optimize this model, take analysis and solution. Then, the resulting conclusion is used to select the multi-path routing of practical Ad Hoc Networks, this paper takes the each link’s average packet delay of and node’s bandwidth as the optimization objective, to design and analyse the routing protocol. On this basis, this paper proposes a multi-path routing algorithm which suit for general Ad Hoc or wireless sensor …

The Properties Of Tree-Like Hierarchical Networks, Yingxin Zhang, Chao Chen, Jianmai Shi

Applied Mathematics & Information Sciences

Tree-like hierarchical structure is one of the key features in many real complex systems. To investigate its properties, a deterministic tree-like hierarchical network model is proposed. Next, the static properties of the tree-like hierarchical networks are discussed. The simulation and theoretical results prove that the artificial tree-like networks conformably possess small-world and scalefree properties well. Furthermore, the dynamic cascading failures in the tree-like hierarchical networks are investigated. A weighted tree-like cascading failure model is proposed, and the impacts of topological structure on the network robustness are investigated by a set of illustrative simulations.

Fpga Design For Pseudorandom Number Generator Based On Chaotic Iteration Used In Information Hiding Application, Jacques M. Bahi, Xiaole Fang, Christophe Guyeux, Laurent Larger

Applied Mathematics & Information Sciences

Lots of researches indicate that the inefficient generation of random numbers is a significant bottleneck for information communication applications. Therefore, Field Programmable Gate Array (FPGA) is developed to process a scalable fixed-point method for random streams generation. In our previous researches, we have proposed a technique by applying some well-defined discrete chaotic iterations that satisfy the reputed Devaney’s definition of chaos, namely chaotic iterations (CI). We have formerly proven that the generator with CI can provide qualified chaotic random numbers. In this paper, this generator based on chaotic iterations is optimally redesigned for FPGA device. By doing so, the generation …

Science, 7th Graders, And A Stream: An Integrated, Experience-Based Science Course For Honors Students, Walter S. Borowski, Malcolm P. Frisbie, Tara Shepperson, Linda Frost

EKU Faculty and Staff Scholarship

We report pedagogical results from a novel, integrated, experience-based science course for honors students funded by the National Science Foundation (NSF). The course seeks to improve science instruction and attitudes toward STEM disciplines for both honors students and underprivileged seventh-grade students by using honors students as learning mentors.

Hexapod Herald - Vol. 25, No. 5, November 2013

Hexapod Herald and Other Entomology Department Newsletters

Contents: Welcome - Publications - Faculty News - Grants - Meet an Off-Campus Student - Student News - This 'n That - Calendar of Events - BUGFEST Success

Household Wealth And Neurocognitive Development Disparities Among School-Aged Children In Nepal., Shivani A Patel, Laura E Murray-Kolb, Steven C Leclerq, Subarna K Khatry, James M. Tielsch, Joanne Katz, Parul Christian

Global Health Faculty Publications

BACKGROUND: Wealth disparities in child developmental outcomes are well documented in developed countries. We sought to (1) describe the extent of wealth-based neurocognitive development disparities and (2) examine potential mediating factors of disparities among a population-based cohort of children in rural Nepal.

METHODS: We investigated household wealth-based differences in intellectual, executive and motor function of n = 1692 children aged between 7 and 9 years in Nepal. Using linear mixed models, wealth-based differences were estimated before and after controlling for child and household demographic characteristics. We further examined wealth-based differences adjusted for three sets of mediators: child nutritional status, home …

Graduate News, Office Of Graduate Studies, Old Dominion University

Graduate News

November 2013 issue of Graduate News from the Office of Graduate Studies (now, ODU Graduate School).

30th Annual Reception Bibliography, 2012-2013, Leonard H. Axe Library

Bibliographies

Since 1984, Leonard H. Axe Library at Pittsburg State University has honored book authors and other creators for their outstanding scholarship and contributions to their fields.

A Monte Carlo Comparison Of Robust Manova Test Statistics, Holmes Finch, Brian French

Journal of Modern Applied Statistical Methods

Multivariate Analysis of Variance (MANOVA) is a popular statistical tool in the social sciences, allowing for the comparison of mean vectors across groups. MANOVA rests on three primary assumptions regarding the population: (a) multivariate normality, (b) equality of group population covariance matrices and (c) independence of errors. When these assumptions are violated, MANOVA does not perform well with respect to Type I error and power. There are several alternative test statistics that can be considered including robust statistics and the use of the structural equation modeling (SEM) framework. This simulation study focused on comparing the performance of the P test …

On Some Properties Of A Heterogeneous Transfer Function Involving Symmetric Saturated Linear (Satlins) With Hyperbolic Tangent (Tanh) Transfer Functions, Christopher Godwin Udomboso

Journal of Modern Applied Statistical Methods

For transfer functions to map the input layer of the statistical neural network model to the output layer perfectly, they must lie within bounds that characterize probability distributions. The heterogeneous transfer function, SATLINS_TANH, is established as a Probability Distribution Function (p.d.f), and its mean and variance are shown.

Distribution Of The Ratio Of Normal And Rice Random Variables, Nayereh B. Khoolenjani, Kavoos Khorshidian

Journal of Modern Applied Statistical Methods

The ratio of independent random variables arises in many applied problems. The distribution of the ratio |X/Y| is studied when X and Y are independent Normal and Rice random variables, respectively. Ratios of such random variables have extensive applications in the analysis of noises in communication systems. The exact forms of probability density function (PDF), cumulative distribution function (CDF) and the existing moments are derived in terms of several special functions. As a special case, the PDF and CDF of the ratio of independent standard Normal and Rayleigh random variables have been obtained. Tabulations of associated percentage points …

Front Matter, Jmasm Editors

Journal of Modern Applied Statistical Methods

No abstract provided.

Preliminary Testing For Normality: Is This A Good Practice?, H. J. Keselman, Abdul R. Othman, Rand R. Wilcox

Journal of Modern Applied Statistical Methods

Normality is a distributional requirement of classical test statistics. In order for the test statistic to provide valid results leading to sound and reliable conclusions this requirement must be satisfied. In the not too distant past, it was claimed that violations of normality would not likely jeopardize scientific findings (See Hsu & Feldt, 1969; Lunney, 1970). Recent revelations suggest otherwise (See e.g., Micceri, 1989; Keselman, Huberty, Lix et al., 1998; Erceg-Hurn, Wilcox, & Keselman, 2013; Wilcox and Keselman, 2003; Wilcox, 2012a, b). Unfortunately the data obtained in psychological investigations rarely, if ever, meet the requirement of normally distributed data (Micceri, …

Intrinsically Ties Adjusted Non-Parametric Method For The Analysis Of Two Sampled Data, G. U. Ebuh, I. C. A Oyeka

Journal of Modern Applied Statistical Methods

A non-parametric method for the analysis of two sample data is proposed that intrinsically and structurally adjusts the test statistic for the possible presence of tied observations between the sampled populations, thereby obviating the need to require the populations to be continuous. The populations may be measurements on as low as the ordinal scale, and need not be homogeneous. In cases where the null hypotheses are rejected, the test statistic enables the determination of which of the sampled populations is likely to be responsible for the rejection (a determination which the Wilcoxon Mann Whitney test cannot handle). The proposed method …

The Impact Of Continuity Violation On Anova And Alternative Methods, Björn Lantz

Journal of Modern Applied Statistical Methods

The normality assumption behind ANOVA and other parametric methods implies that response variables are measured on continuous scales. A simulation approach is used to explore the impact of continuity violation on the performance of statistical methods commonly used by applied researchers to compare locations across several groups.

The Single-Case Data Analysis Package: Analysing Single-Case Experiments With R Software, Isis Bulté, Patrick Onghena

Journal of Modern Applied Statistical Methods

The RcmdrPlugin.SCDA plug-in package is discussed. It integrates three R packages in the R commander interface: SCVA (for Single-Case Visual Analysis), SCRT (for Single-Case Randomization Tests), and SCMA (for Single-Case Meta-Analysis). This way the plug-in package covers three important steps in the analysis of single-case data.

A Comparison Between Biased And Unbiased Estimators In Ordinary Least Squares Regression, Ghadban Khalaf

Journal of Modern Applied Statistical Methods

During the past years, different kinds of estimators have been proposed as alternatives to the Ordinary Least Squares (OLS) estimator for the estimation of the regression coefficients in the presence of multicollinearity. In the general linear regression model, Y = Xβ + e, it is known that multicollinearity makes statistical inference difficult and may even seriously distort the inference. Ridge regression, as viewed here, defines a class of estimators of β indexed by a scalar parameter k. Two methods of specifying k are proposed and evaluated in terms of Mean Square Error (MSE) by …

Discriminating Between Generalized Exponential Distribution And Some Life Test Models Based On Population Quantiles, B. Srinivasa Rao, R. R. L Kantam

Journal of Modern Applied Statistical Methods

A test statistic based on population quantiles using sample order statistics is suggested. The quantiles of the test statistics are evaluated for generalized exponential distribution. Similar test statistic based on moments of sample order statistic is referred and the proposed test formula is compared with it. Between the pairs of the above models it is established that the test formula proposed by us is more effective and useful than the formula based on the moments of order statistics as developed by Sultan (2007).

Comparison Of Parameters Of Lognormal Distribution Based On The Classical And Posterior Estimates, Raja Sultan, S. P. Ahmad

Journal of Modern Applied Statistical Methods

Lognormal distribution is widely used in scientific field, such as agricultural, entomological, biology etc. If a variable can be thought as the multiplicative product of some positive independent random variables, then it could be modelled as lognormal. In this study, maximum likelihood estimates and posterior estimates of the parameters of lognormal distribution are obtained and using these estimates we calculate the point estimates of mean and variance for making comparisons.

On Bayesian Estimation And Predictions For Two-Component Mixture Of The Gompertz Distribution, Navid Feroze, Muhammad Aslam

Journal of Modern Applied Statistical Methods

Mixtures models have received sizeable attention from analysts in the recent years. Some work on Bayesian estimation of the parameters of mixture models have appeared. However, the were restricted to the Bayes point estimation The methodology for the Bayesian interval estimation of the parameters for said models is still to be explored. This paper proposes the posterior interval estimation (along with point estimation) for the parameters of a two-component mixture of the Gompertz distribution. The posterior predictive intervals are also derived and evaluated. Different informative and non-informative priors are assumed under a couple of loss functions for the posterior analysis. …

A Generalized Class Of Estimators For Finite Population Variance In Presence Of Measurement Errors, Prayas Sharma, Rajesh Singh

Journal of Modern Applied Statistical Methods

The problem of estimating the population variance is presented using auxiliary information in the presence of measurement errors. The estimators in this article use auxiliary information to improve efficiency and assume that measurement error is present both in study and auxiliary variable. A numerical study is carried out to compare the performance of the proposed estimator with other estimators and the variance per unit estimator in the presence of measurement errors.

Robust Regression Estimators When There Are Tied Values, Rand R. Wilcox, Florence Clark

Journal of Modern Applied Statistical Methods

It is well known that when using the ordinary least squares regression estimator, outliers among the dependent variable can result in relatively poor power. Many robust regression estimators have been derived that address this problem, but the bulk of the results assume that the dependent variable is continuous. It is demonstrated that when there are tied values, several robust regression estimators can perform poorly in terms of controlling the Type I error probability, even with a large sample size. The presence of tied values does not necessarily mean that they perform poorly, but there is the issue of whether there …