Digital Commons Network^™

On The Weighted Pseudo Almost Periodic Solutions Of Nonlinear Functional Duffing Equation, Ramazan Yazgan, Cemil Tunc

Applied Mathematics & Information Sciences

This paper investigates a nonlinear Duffing equation with a variable time lag. By using a fixed point theorem, weighted pseudo almost periodic functions and differential inequality techniques, we establish new criteria for existence,uniqueness and globally exponential stability of weighted pseudo almost periodic solutions. An example with its numerical simulation is given to show the applicability of the proposed results. The results obtained is new and complements that found in the literature.

On The Entropy Of Progressive Hybrid Censoring Schemes, Bader Almohaimeed

Applied Mathematics & Information Sciences

In a recent days, progressive hybrid censoring scheme based on combination of Type-I and Type-II progressive censoring schemes has been discussed and studied quite extensively in literature of reliability analysis. In this paper, we use the entropy decomposition in progressive hybrid censoring data to obtain expression in a simple form for the entropy of progressively hybrid Type-I and Type-II censored data. Moreover, We compute the entropy in progressive hybrid Type-1 and Type II censored samples for the scaled exponential distribution to illustrate the existence of the presented method.

Wood Delights, Said Shakerin

SOECS Exhibitions

I am an outsider to the world of crafts as I used to be an engineering educator before I was struck by a neuro-degenerative disease, but have always been interested in making things with my hands. I slowly make decorative objects from discarded or partially decayed wood. The process of creating something beautiful, especially from discarded materials, to share with others is truly therapeutic for me. A brief overview of my work follows.

The woods come from a variety of sources such as coastal driftwoods, trimmings from fruit trees in our backyard, fallen branches in our neighborhood during storms, old …

Convergence Analysis And Error Estimates For A Second Order Accurate Finite Element Method For The Cahn–Hilliard–Navier–Stokes System, Amanda E. Diegel, Cheng Wang, Xiaoming Wang, Steven M. Wise

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we present a novel second order in time mixed finite element scheme for the Cahn–Hilliard–Navier–Stokes equations with matched densities. the scheme combines a standard second order Crank–Nicolson method for the Navier–Stokes equations and a modification to the Crank–Nicolson method for the Cahn–Hilliard equation. in particular, a second order Adams-Bashforth extrapolation and a trapezoidal rule are included to help preserve the energy stability natural to the Cahn–Hilliard equation. We show that our scheme is unconditionally energy stable with respect to a modification of the continuous free energy of the PDE system. Specifically, the discrete phase variable is shown …

Sudoku App: Model-Driven Development Of Android Apps Using Ocl?, Yoonsik Cheon, Aditi Barua

Departmental Technical Reports (CS)

Model driven development (MDD) shifts the focus of software development from writing code to building models by developing an application as a series of transformations on models including eventual code generation. Can the key ideas of MDD be applied to the development of Android apps, one of the most popular mobile platforms of today? To answer this question, we perform a small case study of developing an Android app for playing Sudoku puzzles. We use the Object Constraint Language (OCL) as the notation for creating precise models and translate OCL constraints to Android Java code. Our findings are mixed in …

Keynoter, November/December 2017, Boise State University Association Of Office Professionals

Boise State University Association of Office Professionals - Keynoter

President’s Message

AOP Purpose

AOP Membership

Holiday Auction

Bosses Breakfast Recap

Bosses Breakfast Photos

10 Days of Gratitude

Focus on Members

Christmas Diet

NAEOP

Administrator of the Year

Membership

PSP Standards

Calendar of Events

Honors Oracle, November 2017, Marshall University Honors College

Honors Oracle

Marshall University’s Honors College newsletter

Evolution Of Knowledge, Awareness, And Practices Regarding Zika Virus From 2016 To 2017, Quinton Katler, Prachi Godiwala, Charles J. Macri, Beth Pineles, Gary Simon, Aileen Chang, Homa Ahmadzia

Obstetrics and Gynecology Faculty Publications

Objective. Our team created a knowledge, attitudes, and practice (KAP) survey in order to assess changes over time in healthcare provider and community member awareness of Zika virus symptoms, transmission, treatment, and current and future concerns.

Study Design. The cross-sectional survey was issued at an academic medical center in Washington, DC, and via an online link to healthcare providers and community members between June and August 2016. Survey distribution was then repeated the following year, from March to April 2017. Outcomes were compared by survey year and healthcare provider versus community member status using SAS Program Version 9.4.

Results. Significant …

The Art Of Item Writing: Cross-Curricular Testing At Acer 1964-2014, Doug Mccurry, John Harding

ACER Research Monographs

This monograph is about the development of a distinctive style of cross-curricular testing that was developed at the Australian Council for Educational Research in the 1960s and 1970s, and is still in use in some testing programs presently. The impetus for this kind of test development was the decision of the Menzies government to award 10,000 scholarships each year for students to study at Years 11 and 12 through a test called The Commonwealth Secondary Scholarship Examination (CSSE). The testing program ran for 10 years, during which around one million candidates sat the test. This monograph attempts to demonstrate the …

Analytical Evaluation Of The Integral Of Any Order Polynomials On Tetrahedral Regions, Mao T. Murillo, Julio C. Carrillo

Applied Mathematics & Information Sciences

This paper presents an analytical method to set out the integral of any polynomial function f(x,y,z) on a tetrahedral region T by using its four vertexes. The method uses a coordinate transformation which involves the four vertexes of the tetrahedron, whose Jacobian is simple. The last integral is not difficult to solve given that recurrence formula is very simple, furthermore we have developed an algorithm which can evaluate the integral when integrating function is generated by several multiplications of polynomials without necessity of develop the products. This method can be used in finite element method because the most functions involved …

The Simulation, Design, And Fabrication Of Optical Filters, John-Michael Juneau

Graduate Theses - Physics and Optical Engineering

The purpose of this thesis is to create a model for designing optical filters and a method for fabricating the designed filters onto a multitude of substrates, as well as to find ways to optimize this process. The substrates that were tested were quartz, glass slides, polycarbonate, and polyethylene terephthalate (PET). This work will account for variations in the deposition process and substrate cleaning method, in order to optimize the performance of the final optical filter. Several different filters were simulated and then fabricated. These filters included 3, 5, and 7-layer Bragg reflectors, 11-layer narrowband filters, and some variations of …

Faculty Senate Report, November 2017, Faculty Senate

Faculty Senate Documents

No abstract provided.

Bonneville Basin Data, Larry V. Benson

United States Geological Survey: Datasets

In the Bonneville Basin folder, all data were reported in: Benson, L.V., Lund, S.P., Smoot, J.P., Rhode, D.E., Spencer, R.J., Verosub, K.L., Louderback, L.A., Johnson, C.A., Rye, R.O., Negrini, R., 2011. The rise and fall of Lake Bonneville between 45 and 10.5 ka. Quaternary International 235: 57-69.

http://digitalcommons.unl.edu/usgsstaffpub/726

General Comment: in most cases an age model based on ¹⁴C analyses is not included with the data sets although ones were created for the original publications. Given the general problems with ¹⁴C ages in the lakes of the Great Basin, age models based on paleomagnetic secular variation (PSV) are …

The Future Perspective: Metabolomics In Laboratory Medicine For Inborn Errors Of Metabolism, Yana Sandlers

Chemistry Faculty Publications

Metabolomics can be described as a simultaneous and comprehensive analysis of small molecules in a biological sample. Recent technological and bioinformatics advances have facilitated large-scale metabolomic studies in many areas, including inborn errors of metabolism (IEMs). Despite significant improvements in the diagnosis and treatment of some IEMs, it is still challenging to understand how genetic variation affects disease progression and susceptibility. In addition, a search for new more personalized therapies and a growing demand for tools to monitor the long-term metabolic effects of existing therapies set the stage for metabolomics integration in preclinical and clinical studies. While targeted metabolomics approach …

The Solution Of The Hierarchy Of Quantum Kinetic Equations For Correlation Matrices With Generalized Yukawa Potential, Nikolai (Jr.) Bogolubov, Mukhayo Rasulova, Umarbek Avazov

Applied Mathematics & Information Sciences

In paper the evolution of N identical in mass and charge particles interacting wia generalized Yukawa potential is investigated. The system of particles is considered in a finite area. Using the semi group theory, we prove the existence of a unique solution of the chain of quantum kinetic equations for correlation matrices.

Neural Networks Optimization Through Genetic Algorithm Searches: A Review, Haruna Chiroma, Ahmad Shukri Mohd Noor, Sameem Abdulkareem, Adamu I. Abubakar, Arief Hermawan, Hongwu Qin

Applied Mathematics & Information Sciences

Neural networks and genetic algorithms are the two sophisticated machine learning techniques presently attracting attention from scientists, engineers, and statisticians, among others. They have gained popularity in recent years. This paper presents a state of the art review of the research conducted on the optimization of neural networks through genetic algorithm searches. Optimization is aimed toward deviating from the limitations attributed to neural networks in order to solve complex and challenging problems. We provide an analysis and synthesis of the research published in this area according to the application domain, neural network design issues using genetic algorithms, types of neural …

On Relative M-Semi Logarithmically Convexity Functions, Miguel Vivas Cortez, Jorge E. Hernandez H.

Applied Mathematics & Information Sciences

We consider and study a new class of convex functions that are called relative m−semilogarithmic convex functions. Some Hermite-Hadamard inequalities for this a kind of generalized convex function are derived.

Inequalities Associated With Invariant Harmonically H-Convex Functions, Muhammad Uzair Awan, Muhammad Aslam Noor, Marcela V. Mihai, Khalida Inayat Noor

Applied Mathematics & Information Sciences

In this paper, we introduce a new class of harmonically convex functions which is called invariant harmonically h-convex function. We show that the class of invariant harmonically h-convex functions unifies several other new and classes of invariant harmonically convex functions. Some associated integral inequalities of Hermite-Hadamard type are obtained. Several special cases are also discussed.

Differential Operators Homotopy Perturbation Method (Dohpm): An Automated Selection Procedure For Adjustment Parameters, U. Filobello-Nino, H. Vazquez-Leal, B. Benhammouda, A. Perez-Sesma, A. Sarmiento-Reyes, V. M. Jimenezfernandez

Applied Mathematics & Information Sciences

This paper proposes a modified version of HPM method (DOHPM method), introducing in a systematic fashion, adjustment parameters in order to obtain analytical approximate solutions for nonlinear differential equations by using certain differential operators to turn a nonlinear differential equation into other of higher order. Comparison with exact solution shows that DOHPM method is highly efficient if the initial guess is chosen adequately

Second Order Fuzzy Fractional Differential Equations Under Caputo’S H-Differentiability, Shatha Hasan, Ahmad Alawneh, Mohammad Al-Momani, Shaher Momani

Applied Mathematics & Information Sciences

The aim of this paper is to use the concept of the generalized H-derivative to define fuzzy Caputo’s H-derivative of order β ∈(1,2]. Our definition is an extension of fuzzy Caputo’s H-derivative of order β ∈(0,1] and higher order H-derivative of integerorder. After that, we study fuzzy fractional initial value p roblems of order β ∈(1,2] and give an algorithm to solve them based onthe characterization theorem. Finally, we apply the reprod ucing kernel Hilbert space method to obtain approximate solutions of second order fuzzy fractional initial value problems and give some numerical examples.

Developing R&D Business Aspect Evaluation Model, Kwang Hyuk Im, Sang Chan Park, Seok-Hun Kim, Hyun-Jin Yeo

Applied Mathematics & Information Sciences

The purpose of this research is to develop R&D validity evaluation model in business model aspect with Korean patent data for variety applicable criteria such as investment decision making. The model in this research has four core analysis modules: market, growth pattern, competitive and financial those analyze nine BMC(Business Model Components) clarified in this research with classified keywords within patent specification database categorized by industry: Value proposition, Customer segments, Channels, Customer relationship, Key activities, Key resources, Key partnerships, Cost structure, and Revenue stream. This model suggests the key notations for four modules to systemize R&D validity evaluation model which facilitates …

Topological Indices Of The Line Graph Of Subdivision Graph Of Complete Bipartite Graphs, Adnan Aslam, Juan Luis Garcıa Guirao, Safyan Ahmad, Wei Gao

Applied Mathematics & Information Sciences

Topological index is a number associated with molecular graph and this number correlate certain physico-chemical properties of chemical compounds. In the study of QSAR/QSPR, topological indices such as, Randic´ index, Zagreb index, general sumconnectivity index, atom-bond connectivity (ABC) index and geometric-arithmetic (GA) index are exploited to estimate the bioactivity of chemical compounds. In this paper, we compute generalized Randic´ , first and second Zagreb, first and second multiple Zagreb, hyper Zagreb, general sum connectivity index, ABC and GA indices of the line graph of subdivision graph of complete bipartite graphs. Moreover, we also give an explicit formula for ABC4 and …

Thermal Stresses In Thermoelastic Half-Space Without Energy Dissipation Subjected To Rotation And Magnetic Field, S. M. Abo-Dahab, A. M. Abd-Alla, E. E. Mahmoud

Applied Mathematics & Information Sciences

The present paper is concerned with the investigation of disturbances in a homogeneous, isotropic and thermoelastic rotating medium withmagnetic fieldand a time-dependent heat source effect due to thermomechanical source. The formulation is without energy dissipation subjected to thermomechanical source. The normal mode analysisand eigenvalue approach techniques are applied to solve the problem. The expressions of displacement, mean value of normal stress, dilatation and temperature are obtained in the domain. Numerical simulated results are depicted graphically to show the effect of magnetic field and rotation on resulting quantities. The results indicate that the effect of magnetic field, rotation, frequency, wave number …

Performance Evaluation Of Priority Based Obs Networks With Negative Bursts, D. Veera Vanitha, M. Sabrigiriraj, D. Sumitha

Applied Mathematics & Information Sciences

In Optical Burst Switching networks there is a need for the promising solution to minimize the burst loss. When a burst enters into the ingress node of the network and finds the server free, burst transmission takes place normally. If the server is busy, the burst would enter into the buffer at the ingress node and the burst retransmission takes place after sometime or the burst leaves the network as impatient burst. This reduces number of bursts being processed in the network. To avoid burst loss, buffering and retransmission techniques are combined. The effect due to the presence of positive …

Unsteady Mhd Non-Darcian Flow Of A Casson Nanofluid Between Two Parallel Plates With Heat And Mass Transfer, Nabil T. M. El-Dabe, H. A. Attia, M. A. I. Essawy, A. A. Ramadan, A. H. Abdel-Hamid

Applied Mathematics & Information Sciences

The unsteady MHD Hartmann flow of an incompressible Casson nanofluid bounded by two stationery parallel horizontal plates in a porous medium is studied with heat and mass transfer. A non-Darcy model that obeys the Forchheimer extension is assumed for the characteristics of the porous medium. A uniform and constant pressure gradient is applied in the axial direction whereas a uniform suction and injection are applied in the direction normal to the plates. The two plates are kept at constant and different temperatures and the viscous and porous dissipations are not ignored in the energy equation. Moreover, the concentration of the …

Reliable Energy Based Efficient Protocol For Improving Fault Tolerance In Mobile Ad Hoc Networks, N. Sureshkumar, S. Bhavani

Applied Mathematics & Information Sciences

In Mobile Ad-Hoc Network all mobile nodes are communicated in the absence of access point. The previous fault tolerant routing in ad hoc network does not focus on real time issues in packet forwarding. Due to mobility of mobile node causes the frequent link changes, path may break frequently which leads to network degradation. To solve the path failure and packet dropping, a new protocol called Fuzzy logic based Reliable Stability enhanced Fault Routing Protocol (FRSFRP) is proposed to improve the network performance. In this protocol, there are three phases. In first phase, load balanced routing is established from source …

K-Means-Clustering Based Evolutionary Algorithm For Multi-Objective Resource Allocation Problems, A. A. Mousa, M. A. El-Shorbagy, M. A. Farag

Applied Mathematics & Information Sciences

The process of finding the optimal allocation of limited resources to a number of tasks for optimizing multiple objectives is called multi-objective resource allocation problem (MORAP). This paper presents K-means-clustering based on one of the evolutionary algorithm, genetic algorithm(GA), to solve MORAP. Using the K-means-clustering algorithm to divide the population to a specific number of sub-populations each of them with dynamic size. Therefore, different operators of GA (crossover&mutation) can be implemented to each subpopulation instead of applied the same GA operators to the all population. The aim of dynamic clustering is to preserve and introduce diversity into solutions, instead of …

Accuracy Enhancement Of The Epileptic Seizure Detection In Eeg Signals, B. Al-Bokhity, Dalia Nashat, T. M. Nazmy

Applied Mathematics & Information Sciences

The detection of epileptic seizures becomes increasingly important because of the widespread of this disease all over the world. Early detection of epileptic seizures helps the patient to manage epilepsy. This paper introduces a detection system for epileptic seizures that implements a Short-Time Fourier Transform (STFT) for denoising the Electroencephalogram (EEG) signal and Wavelet Transform (WT) for features extraction. Four EEG types (i.e Healthy people, Epileptic people during the seizure-free interval (Interictal), Epileptic people during seizure interval (Focal) and Epileptic people during seizure interval (Nonfocal)) are classified by using a Multi-Layer Perceptron Neural Network (MLPNN) classifier. The used dataset was …

A Decision Tree Approach For The Musical Genres Classification, Glaucia M. Bressan, Beatriz C. F. De Azevedo, Elisangela Ap. S. Lizzi

Applied Mathematics & Information Sciences

The interest in the music classification has increased due to its wide applicability and discoveries obtained from researches. However, efficient methods for systemic organization of digital libraries are required, since users need to classify the available music files. When an automatic classification is desired, the extraction of input attributes and an efficient system, able to process them, are needed. In this context, the use of decision trees as a tool to predict musical genres classes allows the monitoring of the ramification, since nodes and branches of the tree can be accessed in this process. Decision tree is a technique very …

Function Approximation With Deep Neural Network For Image Classification In Fuzzy Domain, Sasi Gopalan, Linu Pinto, Sheela. C., Arun Kumar M. N.

Applied Mathematics & Information Sciences

Image Classification and retrieval of image from a large database has a great relevance in the present Scenario. A lot of work for an efficient method of image retrieval from large database has been made in the recent surveys. Here we propose a mathematical model based on CBIR system that uses the deep neural architecture for classification where the inputs are fuzzy grassland image features. Grassland image features varies according to the varieties of grassland images available through satellite images and hence its classification is a complex process. This paper proposes a new method for classification in which the inputs …