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Open Source Classroom Polling (Interactive Response) Facility, Ronald I. Greenberg 2018 Loyola University Chicago

Open Source Classroom Polling (Interactive Response) Facility, Ronald I. Greenberg

Ronald Greenberg

The contents of the UNIX directory resulting from unzipping the .zip file provide a demonstration of a simple polling facililty that instructors can use in class any time that students have access to a web browser. This is a good way to have students work problems and see to what extent they are converging towards correct answers. Unlike other polling facilities, this one is completely free without any restrictions on number of simultaneous users, etc. It also allows a feature most polling facilities do not in that it may be used for completely free-form answers, and the instructor can still ...


Educational Magic Tricks Based On Error-Detection Schemes, Ronald I. Greenberg 2018 Loyola University Chicago

Educational Magic Tricks Based On Error-Detection Schemes, Ronald I. Greenberg

Ronald Greenberg

Magic tricks based on computer science concepts help grab student attention and can motivate them to delve more deeply. Error detection ideas long used by computer scientists provide a rich basis for working magic; probably the most well known trick of this type is one included in the CS Unplugged activities. This paper shows that much more powerful variations of the trick can be performed, some in an unplugged environment and some with computer assistance. Some of the tricks also show off additional concepts in computer science and discrete mathematics.


Segmenting Human Trajectory Data By Movement States While Addressing Signal Loss And Signal Noise, Sungsoon Hwang, Cynthia VanDeMark, Navdeep Dhatt, Sai Yalla, Ryan Crews 2017 DePaul University

Segmenting Human Trajectory Data By Movement States While Addressing Signal Loss And Signal Noise, Sungsoon Hwang, Cynthia Vandemark, Navdeep Dhatt, Sai Yalla, Ryan Crews

Sungsoon Hwang

This paper considers the problem of partitioning an individual GPS
trajectory data into homogeneous, meaningful segments such as
stops and trips. Signal loss and signal noise are highly prevalent in
human trajectory data, and it is challenging to deal with uncertainties
in segmentation algorithms. We propose a new trajectory
segmentation algorithm that detects stop segments in a noiserobust
manner from GPS data with time gaps. The algorithm consists
of three steps that impute time gaps, split data into base
segments and estimate states over a base segment. The statedependent
path interpolation was proposed as a framework for
gap imputation to ...


Atomistic Simulations And Network-Based Modeling Of The Hsp90-Cdc37 Chaperone Binding With Cdk4 Client Protein: A Mechanism Of Chaperoning Kinase Clients By Exploiting Weak Spots Of Intrinsically Dynamic Kinase Domains, John Czemeres, Kurt Buse, Gennady M. Verkhivker 2017 Chapman University

Atomistic Simulations And Network-Based Modeling Of The Hsp90-Cdc37 Chaperone Binding With Cdk4 Client Protein: A Mechanism Of Chaperoning Kinase Clients By Exploiting Weak Spots Of Intrinsically Dynamic Kinase Domains, John Czemeres, Kurt Buse, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

A fundamental role of the Hsp90 and Cdc37 chaperones in mediating conformational development and activation of diverse protein kinase clients is essential in signal transduction. There has been increasing evidence that the Hsp90-Cdc37 system executes its chaperoning duties by recognizing conformational instability of kinase clients and modulating their folding landscapes. The recent cryo-electron microscopy structure of the Hsp90-Cdc37- Cdk4 kinase complex has provided a framework for dissecting regulatory principles underlying differentiation and recruitment of protein kinase clients to the chaperone machinery. In this work, we have combined atomistic simulations with protein stability and network-based rigidity decomposition analyses to characterize dynamic ...


Virtual Reality As A Training Tool To Treat Physical Inactivity In Children, Adam W. Kiefer, David Pincus, Michael J. Richardson, Gregory D. Myer 2017 Cincinnati Children’s Hospital Medical Center

Virtual Reality As A Training Tool To Treat Physical Inactivity In Children, Adam W. Kiefer, David Pincus, Michael J. Richardson, Gregory D. Myer

Psychology Faculty Articles and Research

Lack of adequate physical activity in children is an epidemic that can result in obesity and other poor health outcomes across the lifespan. Physical activity interventions focused on motor skill competence continue to be developed, but some interventions, such as neuromuscular training (NMT), may be limited in how early they can be implemented due to dependence on the child’s level of cognitive and perceptual-motor development. Early implementation of motor-rich activities that support motor skill development in children is critical for the development of healthy levels of physical activity that carry through into adulthood. Virtual reality (VR) training may be ...


The Official Rulebook For Choice In Video Games: An Examination Of Choice In Modern Narrative Games, Tyler Paulley 2017 Bellarmine University

The Official Rulebook For Choice In Video Games: An Examination Of Choice In Modern Narrative Games, Tyler Paulley

Undergraduate Theses

Film, drama, and novels are each capable of telling stories in a specialized way. This thesis makes the claim that video games are the newest means of storytelling and that they can tell stories in unique and engaging ways by using choice. The first goal of this thesis is to determine how and why choice is being used by game developers by examining several modern narrative games. After this examination, it is determined that the increase of choice-driven and narrative games have had an impact on the expectations of players, the goals of video games, and on game culture itself ...


Understanding Group Communication In Capacity Building In Cyberinfrastructure (Ci), Raizi Simons, Andrew Schrock, Kerk Kee 2017 Chapman University

Understanding Group Communication In Capacity Building In Cyberinfrastructure (Ci), Raizi Simons, Andrew Schrock, Kerk Kee

Student Research Day Abstracts and Posters

Cyberinfrastructure (CI) is composed of many characteristics and layers, in which individuals working with a network of supercomputers in the technological world, understand how to connect and communicate efficiently. In this poster, we will distinguish how group communication (i.e. education) among Cyberinfrastructure (CI) stakeholders helps build and grow an organization’s capacity, or the ability of an organization to accomplish its mission effectively (Eisinger, 2002, p. 128). “Stakeholders garner more capacity to develop better Cyberinfrastructure (CI) tools, improve complex analysis of big data, grow the size of their team, and produce stronger publication” (Kee & Schrock, 2017, p. 17). This ...


Self-Assembly Of Tiles: Theoretical Models, The Power Of Signals, And Local Computing, Amirhossein Simjour 2017 The University of Western Ontario

Self-Assembly Of Tiles: Theoretical Models, The Power Of Signals, And Local Computing, Amirhossein Simjour

Electronic Thesis and Dissertation Repository

DNA-based self-assembly is an autonomous process whereby a disordered system of DNA sequences forms an organized structure or pattern as a consequence of Watson-Crick complementarity of DNA sequences, without external direction.

Here, we propose self-assembly (SA) hypergraph automata as an automata-theoretic model for patterned self-assembly. We investigate the computational power of SA-hypergraph automata and show that for every recognizable picture language, there exists an SA-hypergraph automaton that accepts this language. Conversely, we prove that for any restricted SA-hypergraph automaton, there exists a Wang Tile System, a model for recognizable picture languages, that accepts the same language.

Moreover, we investigate the ...


Design And Implementation Of A Stand-Alone Tool For Metabolic Simulations, Milad Ghiasi Rad 2017 University of Nebraska-Lincoln

Design And Implementation Of A Stand-Alone Tool For Metabolic Simulations, Milad Ghiasi Rad

Computer Science and Engineering: Theses, Dissertations, and Student Research

In this thesis, we present the design and implementation of a stand-alone tool for metabolic simulations. This system is able to integrate custom-built SBML models along with external user’s input information and produces the estimation of any reactants participating in the chain of the reactions in the provided model, e.g., ATP, Glucose, Insulin, for the given duration using numerical analysis and simulations. This tool offers the food intake arguments in the calculations to consider the personalized metabolic characteristics in the simulations. The tool has also been generalized to take into consideration of temporal genomic information and be flexible ...


Web Application For Graduate Course Advising System, Sanjay Karrolla 2017 California State University, San Bernardino

Web Application For Graduate Course Advising System, Sanjay Karrolla

Electronic Theses, Projects, and Dissertations

The main aim of the course recommendation system is to build a course recommendation path for students to help them plan courses to successfully graduate on time. The Model-View-Controller (MVC) architecture is used to isolate the user interface (UI) design from the business logic. The front-end of the application develops the UI using AngularJS. The front-end design is done by gathering the functionality system requirements -- input controls, navigational components, informational components and containers and usability testing. The back-end of the application involves setting up the database and server-side routing. Server-side routing is done using Express JS.


Analyzing Http Requests For Web Intrusion Detection, Sara Althubiti, Xiaohong Yuan, Albert Esterline 2017 North Carolina A & T State University

Analyzing Http Requests For Web Intrusion Detection, Sara Althubiti, Xiaohong Yuan, Albert Esterline

KSU Proceedings on Cybersecurity Education, Research and Practice

Many web application security problems related to intrusion have resulted from the rapid development of web applications. To reduce the risk of web application problems, web application developers need to take measures to write secure applications to prevent known attacks. When such measures fail, it is important to detect such attacks and find the source of the attacks to reduce the estimated risks. Intrusion detection is one of the powerful techniques designed to identify and prevent harm to the system. Most defensive techniques in Web Intrusion Systems are not able to deal with the complexity of cyber-attacks in web applications ...


Using Tablet Technologies To Engage And Motivate Urban High School Students, Nicol R. Howard, Keith Howard 2017 University of Redlands

Using Tablet Technologies To Engage And Motivate Urban High School Students, Nicol R. Howard, Keith Howard

Education Faculty Articles and Research

In this two-year study, researchers examined the impact of using tablet technologies across content areas in an urban high school setting. Class observations provided notable examples of how student motivation and learning appeared to be enhanced by use of the iPads in conjunction with opportunities to collaborate and be creative in the context of their learning. Interviews from a set of teachers with a range of classroom teaching experience provided multiple perspectives of the program’s impact. The opportunity for teachers and students to have the flexibility to select the apps they believe achieve curricular and/or learning goals supports ...


A Cellular Automaton Modeling Approach To Chestnut Blight Canker Development, Samuel Iselin 2017 Illinois State University

A Cellular Automaton Modeling Approach To Chestnut Blight Canker Development, Samuel Iselin

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Land Cover Change Shows Little Effect On Migration Patterns Of Wood Storks And Great Egrets, Johanna Smith 2017 Illinois State University

Land Cover Change Shows Little Effect On Migration Patterns Of Wood Storks And Great Egrets, Johanna Smith

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Cnemidophorus Sexlineatus And The Impacts The Environment Has On Its Population At The Braidwood Dunes, Jeremiah Soto 2017 Illinois State University

Cnemidophorus Sexlineatus And The Impacts The Environment Has On Its Population At The Braidwood Dunes, Jeremiah Soto

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Face Recognition Based On Wavelet Transform And Pulse Coupled Neural Network, SHIQIANG HE, JINQING LIU 2017 Fujian Normal University

Face Recognition Based On Wavelet Transform And Pulse Coupled Neural Network, Shiqiang He, Jinqing Liu

SHIQIANG HE

 Pulse Coupled Neural Network (PCNN) is a new generation artificial neural network (ANN) based on biological vision. It has wide application prospects in the field of digital image processing and artificial intelligence. In this paper, we propose a method to extract face features by studying PCNN theoretical model and its working characteristics. Firstly, the low frequency feature of face image is extracted by wavelet transform. Then, the simplified PCNN is used to extract the corresponding time series of face image reconstructed by wavelet low-frequency coefficient, which is used as the feature sequence of face recognition. Finally, the face recognition process ...


An Evaluation Of The Effects Of Intensity And Duration On Outcomes Across Treatment Domains For Children With Autism Spectrum Disorder, Erik J. Linstead, D. R. Dixon, E. Hong, C. O. Burns, Ryan French, M. N. Novack, D. Granpeesheh 2017 Chapman University

An Evaluation Of The Effects Of Intensity And Duration On Outcomes Across Treatment Domains For Children With Autism Spectrum Disorder, Erik J. Linstead, D. R. Dixon, E. Hong, C. O. Burns, Ryan French, M. N. Novack, D. Granpeesheh

Mathematics, Physics, and Computer Science Faculty Articles and Research

Applied behavior analysis (ABA) is considered an effective treatment for individuals with autism spectrum disorder (ASD), and many researchers have further investigated factors associated with treatment outcomes. However, few studies have focused on whether treatment intensity and duration have differential influences on separate skills. The aim of the current study was to investigate how treatment intensity and duration impact learning across different treatment domains, including academic, adaptive, cognitive, executive function, language, motor, play, and social. Separate multiple linear regression analyses were used to evaluate these relationships. Participants included 1468 children with ASD, ages 18 months to 12 years old, M ...


Comparing And Improving Facial Recognition Method, Brandon Luis Sierra 2017 California State University – San Bernardino

Comparing And Improving Facial Recognition Method, Brandon Luis Sierra

Electronic Theses, Projects, and Dissertations

Facial recognition is the process in which a sample face can be correctly identified by a machine amongst a group of different faces. With the never-ending need for improvement in the fields of security, surveillance, and identification, facial recognition is becoming increasingly important. Considering this importance, it is imperative that the correct faces are recognized and the error rate is as minimal as possible. Despite the wide variety of current methods for facial recognition, there is no clear cut best method. This project reviews and examines three different methods for facial recognition: Eigenfaces, Fisherfaces, and Local Binary Patterns to determine ...


Morphogenesis And Growth Driven By Selection Of Dynamical Properties, Yuri Cantor 2017 The Graduate Center, City University of New York

Morphogenesis And Growth Driven By Selection Of Dynamical Properties, Yuri Cantor

All Dissertations, Theses, and Capstone Projects

Organisms are understood to be complex adaptive systems that evolved to thrive in hostile environments. Though widely studied, the phenomena of organism development and growth, and their relationship to organism dynamics is not well understood. Indeed, the large number of components, their interconnectivity, and complex system interactions all obscure our ability to see, describe, and understand the functioning of biological organisms.

Here we take a synthetic and computational approach to the problem, abstracting the organism as a cellular automaton. Such systems are discrete digital models of real-world environments, making them more accessible and easier to study then their physical world ...


Computer Vision Problems In 3d Plant Phenotyping, Ayan Chaudhury 2017 The University of Western Ontario

Computer Vision Problems In 3d Plant Phenotyping, Ayan Chaudhury

Electronic Thesis and Dissertation Repository

In recent years, there has been significant progress in Computer Vision based plant phenotyping (quantitative analysis of biological properties of plants) technologies. Traditional methods of plant phenotyping are destructive, manual and error prone. Due to non-invasiveness and non-contact properties as well as increased accuracy, imaging techniques are becoming state-of-the-art in plant phenotyping. Among several parameters of plant phenotyping, growth analysis is very important for biological inference. Automating the growth analysis can result in accelerating the throughput in crop production. This thesis contributes to the automation of plant growth analysis.

First, we present a novel system for automated and non-invasive/non-contact ...


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