Computer Sciences Commons^™

Exploring The Dynamics Of Scientific Research, Shilpa Lakhanpal

Dissertations

Scientific research papers present the research endeavors of numerous scientists around the world, and are documented across multitudes of technical conference proceedings, and other such publications. Given the plethora of such research data, if we could automate the extraction of key interesting areas of research, and provide access to this new information, it would make literature searches incredibly easier for researchers. This in turn could be very useful for them in furthering their research agenda. With this goal in mind, we have endeavored to provide such solutions through our research. Specifically, the focus of our research is to design, analyze …

A Study On The Mental Health Of Women In The Csse Department Of California Polytechnic State University, Sophia Lao, Gabriella Garcia Nobili

Computer Science and Software Engineering

The goal of this paper is to explore the perceived effect that the Computer Science Curriculum has on the mental health of female students. To discover these effects we conducted 50 interviews over a period of several months with the female students of the Computer Science and Software Engineering (CSSE) department at California Polytechnic State University in San Luis Obispo. The total amount of Computer Science (CSC) majors at this institution is approximately 680, with 150 of them being female, so we were able to gather responses from 33.3% of the female CSC students from our interviews. It is worth …

Enhancing The Study Of Art History Utilizing Computational Thinking: Focus, Abstraction In Art (Modern), Douglas L. Moody, Sandra Cheng

Open Educational Resources

No abstract provided.

Changes On Cran, Kurt Hornik, Uwe Ligges, Achim Zeileis

The R Journal

In the past 8 months, 1524 new packages were added to the CRAN package repository. 71 packages were unarchived and 302 were archived. The following shows the growth of the number of active packages in the CRAN package repository:

R Foundation News, Torsten Hothorn

The R Journal

Membership fees and donations received between 2019-01-07 and 2019-09-04

R Package For Geometric Shadow Calculations In An Urban Environment, Michael Dorman, Evyatar Erell, Adi Vulkan, Itai Kloog

The R Journal

This paper introduces the shadow package for R. The package provides functions for shadow-related calculations in the urban environment, namely shadow height, shadow footprint and Sky View Factor (SVF) calculations, as well as a wrapper function to estimate solar radiation while taking shadow effects into account. All functions operate on a layer of polygons with a height attribute, also known as “extruded polygons” or 2.5D vector data. Such data are associated with accuracy limitations in representing urban environments. However, unlike 3D models, polygonal layers of building outlines along with their height are abundantly available and their processing does not require …

Indoor Positioning And Fingerprinting: The R Package Ipft, Emilio Sansano, Raúl Montoliu, Óscar Belmonte, Joaquín Torres-Sospedra

The R Journal

Methods based on Received Signal Strength Indicator (RSSI) fingerprinting are in the forefront among several techniques being proposed for indoor positioning. This paper introduces the R package ipft, which provides algorithms and utility functions for indoor positioning using fingerprinting techniques. These functions are designed for manipulation of RSSI fingerprint data sets, estimation of positions, comparison of the performance of different positioning models, and graphical visualization of data. Well-known machine learning algorithms are implemented in this package to perform analysis and estimations over RSSI data sets. The paper provides a description of these algorithms and functions, as well as examples of …

Time-Series Clustering In R Using The Dtwclust Package, Alexis Sardá-Espinosa

The R Journal

Most clustering strategies have not changed considerably since their initial definition. The common improvements are either related to the distance measure used to assess dissimilarity, or the function used to calculate prototypes. Time-series clustering is no exception, with the Dynamic Time Warping distance being particularly popular in that context. This distance is computationally expensive, so many related optimizations have been developed over the years. Since no single clustering algorithm can be said to perform best on all datasets, different strategies must be tested and compared, so a common infrastructure can be advantageous. In this manuscript, a general overview of shape-based …

Editorial, Norm Matloff

The R Journal

On behalf of the Editorial Board, I am pleased to present Volume 10, Issue 1 of the R Journal. This issue contains 36 contributed articles. The majority of which cover new or newly enhanced packages on CRAN.

Optimization Routines For Enforcing One-To-One Matches In Record Linkage Problems, Diego Moretti, Luca Valentino, Tiziana Tuoto

The R Journal

Record linkage aims at quickly and accurately identifying if two records represent the same real world entity. In many applications, we are interested in restricting the linkage results to "1 to 1" links, that is a single record does not appear more than once in the output. This can be dealt with the transport algorithm. The optimization problem, however, grows quadratically in the size of the input, quickly becoming untreatable for cases with a few thousand records. This paper compares different solutions, provided by some R packages for linear programming solvers. The comparison is done in terms of memory usage …

Fclust: An R Package For Fuzzy Clustering, Maria Brigida Ferraro, Paolo Giordani, Alessio Serafini

The R Journal

Fuzzy clustering methods discover fuzzy partitions where observations can be softly assigned to more than one cluster. The package fclust is a toolbox for fuzzy clustering in the R programming language. It not only implements the widely used fuzzy k-means (FkM) algorithm, but also many FkM variants. Fuzzy cluster similarity measures, cluster validity indices and cluster visualization tools are also offered. In the current version, all the functions are rewritten in the C++ language allowing their application in large-size problems. Moreover, new fuzzy relational clustering algorithms for partitioning qualitative/mixed data are provided together with an improved version of the so-called …

Mdfs: Multidimensional Feature Selection In R, Radosław Piliszek, Krzysztof Mnich, Szymon Migacz, Paweł Tabaszewski, Andrzej Sułecki, Aneta Polewko-Klim, Witold Rudnicki

The R Journal

Identification of informative variables in an information system is often performed using simple one-dimensional filtering procedures that discard information about interactions between variables. Such an approach may result in removing some relevant variables from consideration. Here we present an R package MDFS (MultiDimensional Feature Selection) that performs identification of informative variables taking into account synergistic interactions between multiple descriptors and the decision variable. MDFS is an implementation of an algorithm based on information theory (Mnich and Rudnicki, 2017). The computational kernel of the package is implemented in C++. A high-performance version implemented in CUDA C is also available. The application …

Connecting R With D3 For Dynamic Graphics, To Explore Multivariate Data With Tours, Michael Kipp, Ursula Laa, Dianne Cook

The R Journal

The tourr package in R has several algorithms and displays for showing multivariate data as a sequence of low-dimensional projections. It can display as a movie but has no capacity for interaction, such as stop/go, change tour type, drop/add variables. The tourrGui package provides these sorts of controls, but the interface is programmed with the dated RGtk2 package. This work explores using custom messages to pass data from R to D3 for viewing, using the Shiny framework. This is an approach that can be generally used for creating all sorts of interactive graphics.

Matching With Clustered Data: The Cmatching Package In R, Massimo Cannas, Bruno Arpino

The R Journal

Matching is a well known technique to balance covariates distribution between treated and control units in non-experimental studies. In many fields, clustered data are a very common occurrence in the analysis of observational data and the clustering can add potentially interesting information. Matching algorithms should be adapted to properly exploit the hierarchical structure. In this article we present the CMatching package implementing matching algorithms for clustered data. The package provides functions for obtaining a matched dataset along with estimates of most common parameters of interest and model-based standard errors. A propensity score matching analysis, relating math proficiency with homework completion …

Identifying And Testing Recursive Vs. Interdependent Links In Simultaneous Equation Models Via The Sire Package, Gianmarco Vacca, Maria Grazia Zoia

The R Journal

Simultaneous equation models (SEMs) are composed of relations which either represent unidirectional links, which entail a causal interpretation, or bidirectional links, due to feedback loops, which lead to the notion of interdependence. The issue is of prominent interest in several respects. Investigating the causal structure of a SEM, on the one hand, brings to light the theoretical assumptions behind the model and, on the other hand, pilots the choice of the befitting estimation method and of which policy to implement. This paper provides an operational method to distinguish causal relations from interdependent ones in SEMs, such as macro-econometric models, models …

Rssampling: A Pioneering Package For Ranked Set Sampling, Busra Sevinc, Bekir Cetintav, Melek Esemen, Selma Gurler

The R Journal

Ranked set sampling (RSS) is an advanced data collection method when the exact measurement of an observation is difficult and/or expensive used in a number of research areas, e.g., environment, bioinformatics, ecology, etc. In this method, random sets are drawn from a population and the units in sets are ranked with a ranking mechanism which is based on a visual inspection or a concomitant variable. Because of the importance of working with a good design and easy analysis, there is a need for a software tool which provides sampling designs and statistical inferences based on RSS and its modifications. This …

R News, R Core Team

The R Journal

CHANGES IN R 3.6.1

Nowcasting: An R Package For Predicting Economic Variables Using Dynamic Factor Models, Serge De Valk, Daiane De Mattos, Pedro Ferreira

The R Journal

The nowcasting package provides the tools to make forecasts of monthly or quarterly economic variables using dynamic factor models. The objective is to help the user at each step of the forecasting process, starting with the construction of a database, all the way to the interpretation of the forecasts. The dynamic factor model adopted in this package is based on the articles from Giannone et al. (2008) and Banbura et al. (2011). Although there exist several other dynamic factor model packages available for R, ours provides an environment to easily forecast economic variables and interpret results.

Optimparallel: An R Package Providing A Parallel Version Of The L-Bfgs-B Optimization Method, Florian Gerber, Reinhard Furrer

The R Journal

The R package optimParallel provides a parallel version of the L-BFGS-B optimization method of optim(). The main function of the package is optimParallel(), which has the same usage and output as optim(). Using optimParallel() can significantly reduce the optimization time, especially when the evaluation time of the objective function is large and no analytical gradient is available. We introduce the R package and illustrate its implementation, which takes advantage of the lexical scoping mechanism of R.

Integration Of Networks And Pathways With Starbiotrek Package, Claudia Cava, Isabella Castiglioni

The R Journal

High-throughput genomic technologies bring to light a comprehensive hallmark of molecular changes of a disease. It is increasingly evident that genes are not isolated from each other and the identification of a gene signature can only partially elucidate the de-regulated biological functions in a disease. The comprehension of how groups of genes (pathways) are related to each other (pathway-cross talk) could explain biological mechanisms causing diseases. Biological pathways are important tools to identify gene interactions and decrease the large number of genes to be studied by partitioning them into smaller groups. Furthermore, recent scientific studies have demonstrated that an integration …

Whats For Dynr: A Package For Linear And Nonlinear Dynamic Modeling In R, Lu Ou, Michael D. Hunter, Sy-Miin Chow

The R Journal

Intensive longitudinal data in the behavioral sciences are often noisy, multivariate in nature, and may involve multiple units undergoing regime switches by showing discontinuities interspersed with continuous dynamics. Despite increasing interest in using linear and nonlinear differential/difference equation models with regime switches, there has been a scarcity of software packages that are fast and freely accessible. We have created an R package called dynr that can handle a broad class of linear and nonlinear discrete- and continuous-time models, with regime-switching properties and linear Gaussian measurement functions, in C, while maintaining simple and easy-to-learn model specification functions in R. We present …

Simcorrmix: Simulation Of Correlated Data With Multiple Variable Types Including Continuous And Count Mixture Distributions, Allison Fialkowski, Hemant Tiwari

The R Journal

The SimCorrMix package generates correlated continuous (normal, non-normal, and mixture), binary, ordinal, and count (regular and zero-inflated, Poisson and Negative Binomial) variables that mimic real-world data sets. Continuous variables are simulated using either Fleishman’s third-order or Headrick’s fifth-order power method transformation. Simulation occurs at the component level for continuous mixture distributions, and the target correlation matrix is specified in terms of correlations with components. However, the package contains functions to approximate expected correlations with continuous mixture variables. There are two simulation pathways which calculate intermediate correlations involving count variables differently, increasing accuracy under a wide range of parameters. The package …

Krahasimi I Karakteristikave Të Protokoleve Në Kuadër Të Eps, Ajnur Bullaku

Theses and Dissertations

Duke e marr parasysh përdorimin shumë të madhe të teknologjisë 4G në tërë globin, gjithmonë është në rritje edhe kërkesa e sigurisë të lartë për të mbrojtur informatat të cilat rrugëtojn ne rrjetë nga keqpërdoruesit. AAA mekanizmi është pika kyçë në ketë drejtim ku edhe kemi menduar se është e rëndësishme ta shtjellojmë ketë temë, që tregon se si funksion AAA mekanizmi dhe protokollet që bëjnë pjesë në të.

Kërkesa për AAA protokollet është duke u rritur çdo ditë e më shumë. Protokollet me më shumë përdorim janë RADIUS dhe TACACS+ por nuk po ja arritin ti ndjekin zhvillimet e …

E-Mail I Bazuar Në Zë Për Njerëzit Me Shikim Të Dëmtuar, Arianit Mujaj

Theses and Dissertations

Një aplikacion mobil në rastet më të shpeshta reprezenton një funksionalitet sado bazik apo të komplikuar që njerëzit përdorin në jetën e tyre personale ose profesionale, në formë mobile të cilën mund ta bartin ngado me vete. Zhvillimi i aplikacioneve mobile është një gjë relativisht sfiduese, e cila kërkon kohë dhe dedikim të veçantë si proces inxhinierik. Kjo temë ka për synim të shtjellojë procesin e zhvillimit dhe dizajnimit të aplikacionit mobil “E-mail i bazuar në zë” dhe implementimin e teknologjisë “Voice recognition”. Për zhvillimin e një aplikacioni mobil të veçantë dhe të suksesshëm të këtij lloji, përveç kodit nevojiten …

Big Data Analysis With Apache Pig-Apache Hadoop, Blerim Latifi

Theses and Dissertations

Në këtë temë prezentoj 'Big Data Analysis with Apache Pig-Apache Hadoop' në fushën e grumbullimit të të dhënave, për shkak se proceset e grumbullimit të të dhënave përdoren aktualisht nga shumica e organizatave në botën dixhitale që po zgjerohet me informacione të pafundme. Platformat paralele të përpunimit dhe sistemet paralele të të dhënave që janë gjithnjë e më popullore. Frameworkat kanë përmirësuar ndjeshëm performancën e analizës së të dhënave. Dhjetëra ose qindra nyje vrapojnë së bashku për të ekzekutuar një detyrë. Është shumë e rëndësishme të përmirësohet shfrytëzimi i burimeve dhe efikasiteti i llogaritjes. Sipas Microsoftit, ekziston rreth 30% përllogaritjeve …

Computational Neuroscience, Arnold Gashi

Theses and Dissertations

Understanding how the brain works is a challenge that is attracting a number of scientists from many disciplines. This thesis is a study, to understand some of the models that explain the procedure how the brain works. By understanding computational models of the brain, we as programmers can create simulated programs that try to mimic brain behavior, and using them in many divisions of technology. CNS is very wide field and has so many things to cover this thesis will cover the basic construction of the brain, from neurons, as the principle cell of nervous system, to understand their complex …

Analiza E Algoritmeve Në Cloud Dhe Aspekti I Sigurisë Së Tyre, Fatlum Arifi

Theses and Dissertations

Sistemet e ruajtjes në re(cloud) janë duke u bërë më të lira dhe më të disponueshme. Me rritjen e popullaritetit të sistemeve të ruajtjes së reve, si në industri ashtu dhe në jetën tonë personale njerëzit kanë filluar të kujdesen për sigurinë e të dhënave të tyre në cloud. Pra, siguria është një faktor i rëndësishëm në cloud-sisteme për të siguruar që të dhënat e klientëve të vendosen në mënyrë të sigurt në cloud.

Ky punim ka si qëllim studimin e Cloud kompjuterit; karakteristikat e një cloudi, tipet e tyre, modelet e ndryshme. Studimi është pajisur me një gamë të …

Identifying Hourly Traffic Patterns With Python Deep Learning, Christopher L. Leavitt

Computer Engineering

This project was designed to explore and analyze the potential abilities and usefulness of applying machine learning models to data collected by parking sensors at a major metro shopping mall. By examining patterns in rates at which customer enter and exit parking garages on the campus of the Bellevue Collection shopping mall in Bellevue, Washington, a recurrent neural network will use data points from the previous hours will be trained to forecast future trends.

Keylime, Eli William Partker

Computer Engineering

Josh, Matt and I knew we wanted to develop a mobile app for our senior project because that is what we found ourselves to be most passionate about during our time here at Cal Poly. We started to think of problems we wanted to solve using an application and we came up with a couple ideas but chose to expand on one. Students come to Cal Poly every year new to the area and the food options San Luis Obispo provides. Many of the restaurants in SLO offer a variety of deals to the community and most of them to …

Labeling Paths With Convolutional Neural Networks, Sean Wallace, Kyle Wuerch

Computer Engineering

With the increasing development of autonomous vehicles, being able to detect driveable paths in arbitrary environments has become a prevalent problem in multiple industries. This project explores a technique which utilizes a discretized output map that is used to color an image based on the confidence that each block is a driveable path. This was done using a generalized convolutional neural network that was trained on a set of 3000 images taken from the perspective of a robot along with matching masks marking which portion of the image was a driveable path. The techniques used allowed for a labeling accuracy …