Digital Commons Network^™

Performance Simulation Of Higher Frequency Band Models For D2d Application Of 5g Technology, B. Suganthi, C. Vennila

Applied Mathematics & Information Sciences

The next generation of wireless transmission technology 5G is expected to support the development of high frequency channel models, so the interpretation of high frequency bands is the most important issue in radio propagation research. In this paper, multiple urban microcellular measurements have been carried out at 80 GHz. The collected data is uniformly analyzed to compare the simulation results of 5G MIMO models with the proposed algorithms using network Downlink Essentials 5G MIMO LTE-A and MIMO-OFDM. The 4 × 4 MIMO is an inwardly influential and 8 × 8 MIMO has accuracy of 89% for the frequencies 100 MHz …

Minimizing Handover Delay And Maximizing Throughput By Heterogeneous Handover Algorithm (Hha) In Telecommunication Networks, M. Phemina Selvi, S. Sendhilnathan

Applied Mathematics & Information Sciences

Handover mechanism plays a vital role in the wireless telecommunication networks. The process of transferring the control of Mobile Terminal (MT)/Mobile Nodes (MN) due to mobility from one point of attachment to another point of attachment creates problems of delay, link failure, packet loss and error rate in the packets. The proposed work is modeled to analyze the performance of vertical handover considering 4G and wireless data networks. The vertical handover delay is estimated based on radio link quality and merit function of access network. A Matlab based heterogeneous model is considered and with the designed algorithm the performance is …

Inverted Generalized Linear Exponential Distribution As A Lifetime Model, Mohamed A. W. Mahmoud, M. G. M. Ghazal, H. M. M. Radwan

Applied Mathematics & Information Sciences

This paper concerns with a new lifetime model named the inverted generalized linear exponential distribution (IGLED). Statistical properties like moments, quantile and modes are introduced. The classification of the behavior of IGLED based on reliability analysis like mean residual life (MRL) time, the mean waiting time (MWT), the hazard rate (HR) function and the reversed hazard rate (RHR) function are discussed. Bonferroni curve (Bc), Lorentz curve, the scaled total time on test (TTT) transform curve and the measures of income inequality are also studied. The heavy-weight property is proved for IGLED under the shape parameter ξ . The explanation of …

On The Coupling Of The Thermostatted Kinetic Theory With The Information Theory, Carlo Bianca

Applied Mathematics & Information Sciences

This paper deals with a further generalization of the continuous thermostatted kinetic theory for active particles. Specifically the interest focuses on the linking between the macroscopic data and the statistical evolution of the system. The connection between measurements and sources is established by defining an inverse problem based on the distribution vector function solution of the thermostatted kinetic framework. The inverse problem belongs to the class of ill-posed Volterra equations of the first kind considering that the number of sources can be greater of the number of measurements. The uniqueness of the solution is obtained by coupling the thermostatted kinetic …

Pixel Valued Adaptive Single Scale Center Surround Algorithm- An Innovative Approach For Illumination Removal, R. Alarmelu Mangai, N. Devarajan

Applied Mathematics & Information Sciences

This paper proposes an innovative approach for removing the non uniform illumination which is a major artifact in microscopic algal images. Center Surround Algorithm is used for correcting the non uniform illumination where the illumination and reflectance are separated but not completely removed. In this new algorithm the pixel values are replaced based on the geometric mean of the surrounding pixels and applying the Adaptive Single Scale Center Surround Algorithm to remove non uniform illumination. By determining inhomogenity and calculating zeros the illumination is completely removed. By iterating the convolution, the edges are also preserved. Many of the algal species …

Efficient File Sharing Mechanism In P2p Using Energy Efficient Clustering Mechanism, P. Arockia Mary, M. Radhakrishnan

Applied Mathematics & Information Sciences

Effective and secured file sharing is the essential factor in real time networks. Common distributed network environment faces numerous problems in existing file sharing mechanism. In this research paper we have proposed a novel approach using Trust based Energy Efficient Clustering Mechanism by using firefly algorithm to improve the throughput. The proposed architecture has been designed with four phases for effective file sharing in P2P networks. In the first stage an Energy Efficient Clustering Mechanism with Firefly calculation has been introduced. A vitality proficient Clustering calculation with ideal parameters is intended for decreasing the vitality utilization and drawing out the …

Hybrid Taylor-Lucas Collocation Method For Numerical Solution Of High-Order Pantograph Type Delay Differential Equations With Variables Delays, Nurcan Bayku, Mehmet Sezer

Applied Mathematics & Information Sciences

In this study we consider a higher-order linear nonhomogenous pantograph type delay differential equation with variable coefficients and variables delays, and propose a new collocation method based on hybrid Taylor and Lucas polynomials. The presented method transforms the delay differential equation with the initial and boundary conditions to a system of linear algebraic equations with the unknown Lucas coefficients; by finding Lucas coefficients easily, Lucas polynomial solutions are obtained. Also an error estimation technique based on residual function is developed for our method and applied to exiting problems.

A One-Dimensional Mathematical Model For The Source Reconstruction By The Maximum Entropy Principle, Carlo Bianca, Raphael Sasportas

Applied Mathematics & Information Sciences

This paper is concerned with the localization problem of a source belonging to a domain monitored by a network of detectors. A mathematical model is proposed within an inverse problem framework which is based on the maximum information entropy principle. Specifically the connection between the measurements released by the detectors and the sources is obtained by assuming that each detector has a visibility domain which is modeled by introducing a visibility function. A computational sensitivity analysis is performed on the number of detectors and on the visibility functions. The results are of great interest in the applied sciences.

Energy Efficient Quasi Cyclic Fec For Wireless Sensor Networks, P. Kaythry, R. Kishore

Applied Mathematics & Information Sciences

Wireless sensor network (WSN) is a collection of battery operated sensor devices with lossy nature. Achieving reliability in data transmission in WSN is a big challenge. Forward error control (FEC) and Automatic Repeat request (ARQ) are the error control mechanisms used for increasing the reliability of data transmission. Since, WSN is a power constraint environment, the error control mechanism implemented in the sensor nodes should consume less energy. In this paper, we propose optimal quasi cyclic FEC scheme in WSN for detection and correction of burst errors. In ARQ, retransmission of corrupted data is highly time consuming whereas the proposed …

Relationships Between Self-Concept, Teacher Expectation, And Academic Achievement: An Analysis Of Social-Emotional Well Being And Its Relation To Classroom Performance, Katherine E. Stearns

EDL Sixth Year Theses

As a current teacher at McAlister Intermediate School in Suffield, Connecticut, I am interested in analyzing the relationship between a student’s self-concept, their academic achievement, and the expectations that their teacher holds for them within the classroom. My personal interests lead to a literature review and subsequent study examining existing research surrounding self-concept, teacher expectation, and their relationships to academic achievement.

Hidden Curriculum, Language, And Math: How To Help Emergent Bilinguals To Succeed In Stem, Marialuisa Di Stefano, Idalis Villanueva

Engineering Education Faculty Publications

No abstract provided.

A Colorimetric Competitive Displacement Assay For The Evaluation Of Catalytic Peptides, Anneliese Gest, Erika M. Aguiluz, Malik T. Mays, Xinyu Liu, Eliza K. Neidhart, Leah S. Witus

Faculty Publications

No abstract provided.

Fs Transcript 2017-11-01, Northern Illinois University

Faculty Senate Archives

No abstract provided.

Teaching Stats For Data Science, Daniel Kaplan

Faculty Publications

“Data science” is a useful catchword for methods and concepts original to the field of statistics, but typically being applied to large, multivariate, observational records. Such datasets call for techniques not often part of an introduction to statistics: modeling, consideration of covariates, sophisticated visualization, and causal reasoning. This article re-imagines introductory statistics as an introduction to data science and proposes a sequence of 10 blocks that together compose a suitable course for extracting information from contemporary data. Recent extensions to the mosaic packages for R together with tools from the “tidyverse” provide a concise and readable notation for wrangling, visualization, …

Spartan Daily, November 1, 2017, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2017

Volume 149, Issue 30

The Effect Of Text Color And Text Grouping On Attention And Short Term Recall Memory, Emily Haynes

Honors College Research

This study sought to discover whether there was a connection between the attentional draw of a word, as represented by text color and grouping, and the likelihood of it being transferred into short term recall memory. College students at Harding University in Searcy, Arkansas were given one of six timed memory test scenarios and asked to recreate the list to the best of their ability. The students were then asked to complete a series of post-test questions designed to measure their perception of their own performance on the test. The students were also asked to complete a demographics questionnaire that …

Uncovering User-Triggered Privacy Leaks In Mobile Applications And Their Utility In Privacy Protection, Joo Keng Joseph Chan

Dissertations and Theses Collection

Mobile applications are increasingly popular, and help mobile users in many aspects of their lifestyle. Applications have access to a wealth of information about the user through powerful developer APIs. It is known that most applications, even popular and highly regarded ones, utilize and leak privacy data to the network. It is also common for applications to over-access privacy data that does not fit the functionality profile of the application. Although there are available privacy detection tools, they might not provide sufficient context to help users better understand the privacy behaviours of their applications. In this dissertation, I present the …

A New Mathematical Model And Its Application In The Pollution Of Air And Water: An Application Of Virtual Experience In Qassim Province In Kingdom Of Saudi Arabia, Ali Allahem, Salah Boulaaras, Sewalem Ghanem

Applied Mathematics & Information Sciences

In this paper, we present a numerical model of one-dimensional equations of transport equation, where we apply the model in a hypothetical example and compare the results of our model with a virtual experience which deals with the concentration of certain pollutants and their speed diffusion in water in Qassim province in Kingdom of Saudi Arabia.

Product Based Business Decision Making For Enhanced Information Retrieval Based Root Cause Analysis, S. Subitha, S. Sujatha

Applied Mathematics & Information Sciences

Business decision making has become complex due to increased online e-commerce activities (purchases). Though profitable, this has reduced personalized interactions with buyers, hence leaving the organizations in the leeward side of user’s feedbacks and requirements. Social networking sites provide a base platform for users to interact with their peers, also providing a platform for organizations to leverage the missed feedbacks and requirements. However, the huge amount of content (less relevant and more irrelevant) present in such domains makes appropriate data retrieval a complex task. This paper presents an architecture that can be used to effectively retrieve information from heterogeneous data …

Combustion-Derived Nanoparticles, The Neuroenteric System, Cervical Vagus, Hyperphosphorylated Alpha Synuclein And Tau In Young Mexico City Residents, Lilian Calderón-Garcidueñas, Rafael Reynoso-Robles, Beatriz Pérez-Guillé, Partha S. Mukherjee, Angélica Gónzalez-Maciel

Mathematics Faculty Publications and Presentations

Mexico City (MC) young residents are exposed to high levels of fine particulate matter (PM_2.5), have high frontal concentrations of combustion-derived nanoparticles (CDNPs), accumulation of hyperphosphorylated aggregated α-synuclein (α-Syn) and early Parkinson's disease (PD). Swallowed CDNPs have easy access to epithelium and submucosa, damaging gastrointestinal (GI) barrier integrity and accessing the enteric nervous system (ENS). This study is focused on the ENS, vagus nerves and GI barrier in young MC v clean air controls. Electron microscopy of epithelial, endothelial and neural cells and immunoreactivity of stomach and vagus to phosphorylated ɑ-synuclein Ser129 and Hyperphosphorylated-Tau (Htau) …

Sdstate Sustainability Newsletter: Vol. 2 Issue 2, Jennifer Mclaughlin

SD State Sustainability Newsletter

Contents:
Winter Energy Conservation
Sustainable Holiday Tips
Recycling, Recycling, Recycling
Tiny House Visit
Sustainability Tidbits
Recycling Bin & Dumpster Guide
SDSU Recycling Guide

Enhancing Information Literacy Using Bernard Lonergan's Generalized Empirical Method: A Three-Year Case Study In A First Year Biology Course., Lisa M. Rose-Wiles, Marian Glenn, Doreen Stiskal

Praxis Publications

This paper describes a three-year long collaborative project between a science librarian, a biology professor and a physical therapy professor to improve information literacy in an undergraduate biology laboratory course. The authors used Bernard J. Lonergan’s Generalized Empirical Method (GEM) as a cognitional framework, emphasizing the role of experience, understanding, judgement and action in conducting research. They focused on the selection, integration and citation of scholarly articles in formal laboratory reports. The science librarian became embedded in the course, delivering information literacy instruction sessions, grading and providing feedback on the use of information sources in the lab reports. Overall the …

Alphametics, Steven Kahan

Word Ways

A mathematical game.

November And December 2017 News Items, Office Of Vice President For Research

Research and Discovery News

• Researchers' work puts WMU at center of national STEM network
• Two WMU faculty engineers garner MEDC funding for early-stage work
• Rutgers vice president to take research reins at WMU

Intersectional Value? A Pilot Study Exploring Educational Outcomes For African American Women In Historically Black Sororities Versus Non-Historically Black Sororities, Donald Mitchell Jr., Ph.D., John A. Gipson, Jakia Marie, Tiffany Steele

Executives, Administrators, & Staff Publications

The purpose of this pilot study was to initially explore if there is value added in terms of educational outcomes for Black women involved in historically Black sororities by comparing them to Black women involved in non-historically Black sororities, given the racial-gender support historically Black sororities offer. Main findings suggest Black women involved in historically Black sororities were more socially involved than Black women involved in non-historically Black sororities. The article closes with implications for practice and future research.

Learning To Code Music: Development Of A Supplemental Unit For High School Computer Science, Kelsey Wright

Computer Science Graduate Projects and Theses

Learning to Code Music is a supplemental unit developed for high school computer science. This unit was developed after researching the effects of biases in curriculum, effective teaching, and incorporating the arts into coding. This supplemental unit is intended to be used with one of the Computer Science Principles curriculum approved by the College Board and explained in the literature review. It is my goal to have other teachers and myself to use this supplemental unit in their high school computer science courses. All supplemental unit material can be found at https://sites.google.com/notusschools.org/earsketch-csp/home

Computational Prediction Of Conductivities Of Disk-Shaped Particulate Composites, Jian Qiu

Electronic Theses and Dissertations

The effective conductivities are determined for randomly oriented disk-shaped particles using an efficient computational algorithm based on the finite element method. The pairwise intersection criteria of disks are developed using a set of vector operations. An element partition scheme has been implemented to connect the elements on different disks across the lines of intersection. The computed conductivity is expressed as a function of the density and the size of the circular disks or elliptical plates. It is further expressed in a power-law form with the key parameters determined from curve fittings. The particle number and the trial number of simulations …

Electron Parallel Transport For Arbitrary Collisionality, Jeong-Young Ji, Gunsu S. Yun, Yong-Su Na, Eric D. Held

All Physics Faculty Presentations

Integral (nonlocal) closures [J.-Y. Ji and E. D. Held, Phys. Plasmas 21, 122116 (2014)] are combined with the momentum balance equation to derive electron parallel transport relations. For a single harmonic fluctuation, the relations take the same form as the classical Spitzer theory (with possible additional terms): The electric current and heat flux densities are connected to the modified electric field and temperature gradient by transport coefficients. In contrast to the classical theory, the dimensionless coefficients depend on the collisionality quantified by a Knudsen number, the ratio of the collision length to the angular wavelength. The key difference comes from …

Prospectus, November 1, 2017, Parkland College, Alex Davidson, Greg Gancarz, Emma Gray, David Saveanu, Derian Silva, Tom Warner

Prospectus 2017

Parkland days from first original Shakespeare production; Wesley Food Pantry a resource for those with food needs; "Jigsaw" eighth installment in years-dead "Saw" franchise; Smartphone app helps bring focus to classrooms; Cobras volleyball wins against Sauk Valley on Oct. 27

An Active Galactic Nucleus Caught In The Act Of Turning Off And On, Julia M. Comerford, R Scott Barrows, Francisco Müller Sánchez, Rebecca Nevin, Jenny E. Greene, David Pooley, Daniel Stern, Fiona A. Harrison

Physics and Astronomy Faculty Research

We present the discovery of an active galactic nucleus (AGN) that is turning off and then on again in the z = 0.06 galaxy SDSS J1354+1327. This episodic nuclear activity is the result of discrete accretion events that could have been triggered by a past interaction with the companion galaxy that is currently located 12.5 kpc away. We originally targeted SDSS J1354+1327 because its Sloan Digital Sky Survey spectrum has narrow AGN emission lines that exhibit a velocity offset of 69 km s⁻¹ relative to systemic. To determine the nature of the galaxy and its velocity-offset emission lines, we …