Other Computer Sciences Commons^™

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. …

Critical Digital Literacies Across Scales And Beneath The Screen, Noah Asher Golden

Education Faculty Articles and Research

Digital technologies and education scholarship tend to focus on either individual creative design or analysis of the political economy. To better understand how ideologies travel across networks, critical digital literacies must focus on enactments beneath the screen, as the linguistic constructs known as software can enact interests across scales of activity to “disembed” local actions and meaning. Investigations of these mobilities and disembedding effects challenge popular notions of digital technologies as neutral, rendering overt the ways that algorithms can naturalize manifestations of power and social arrangements. Such a framework allows for descriptive analyses of the ways hegemonic discourses are enacted …

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 the shift …

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

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

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Spatiotemporal Subspace Feature Tracking By Mining Discriminatory Characteristics, Richard D. Appiah

Doctoral Dissertations

Recent advancements in data collection technologies have made it possible to collect heterogeneous data at complex levels of abstraction, and at an alarming pace and volume. Data mining, and most recently data science seek to discover hidden patterns and insights from these data by employing a variety of knowledge discovery techniques. At the core of these techniques is the selection and use of features, variables or properties upon which the data were acquired to facilitate effective data modeling. Selecting relevant features in data modeling is critical to ensure an overall model accuracy and optimal predictive performance of future effects. The …

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= …

An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut, Florentin Smarandache, Yanhui Guo, Yaman Akbulut, Abdulkadir Sengur, Rong Xia

Branch Mathematics and Statistics Faculty and Staff Publications

Segmentation is considered as an important step in image processing and computer vision applications, which divides an input image into various non-overlapping homogenous regions and helps to interpret the image more conveniently. This paper presents an efficient image segmentation algorithm using neutrosophic graph cut (NGC). An image is presented in neutrosophic set, and an indeterminacy filter is constructed using the indeterminacy value of the input image, which is defined by combining the spatial information and intensity information. The indeterminacy filter reduces the indeterminacy of the spatial and intensity information. A graph is defined on the image and the weight for …

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

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 …

Secure And Efficient Delegation Of A Single And Multiple Exponentiations To A Single Malicious Server, Matluba Khodjaeva

Dissertations, Theses, and Capstone Projects

Group exponentiation is an important operation used in many cryptographic protocols, specifically public-key cryptosystems such as RSA, Diffie Hellman, ElGamal, etc. To expand the applicability of group exponentiation to computationally weaker devices, procedures were established by which to delegate this operation from a computationally weaker client to a computationally stronger server. However, solving this problem with a single, possibly malicious, server, has remained open since a formal cryptographic model was introduced by Hohenberger and Lysyanskaya in 2005. Several later attempts either failed to achieve privacy or only achieved constant security probability.

In this dissertation, we study and solve this problem …

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 …

Research On Improving Navigation Safety Based On Big Data And Cloud Computing Technology For Qiongzhou Strait, Rui Wang

Maritime Safety & Environment Management Dissertations (Dalian)

No abstract provided.

Rating By Ranking: An Improved Scale For Judgement-Based Labels, Jack O'Neill, Sarah Jane Delany, Brian Mac Namee

Conference papers

Labels representing value judgements are commonly elicited using an interval scale of absolute values. Data collected in such a manner is not always reliable. Psychologists have long recognized a number of biases to which many human raters are prone, and which result in disagreement among raters as to the true gold standard rating of any particular object. We hypothesize that the issues arising from rater bias may be mitigated by treating the data received as an ordered set of preferences rather than a collection of absolute values. We experiment on real-world and artificially generated data, finding that treating label ratings …

Game Design & Development Curriculum: History & Future Directions, Elizabeth L. Lawley, Roger Altizer, Tracy Fullerton, Andrew Phelps, Constance Steinkuehler

Presentations and other scholarship

It has been nearly twenty years since the first undergraduate degree program in computer game development was established in 1998. Since that time, the number and size of programs in game design and development have grown at a rapid pace. While there were early efforts to establish curricular guidelines for the field, these face a number of challenges given the diverse range of academic homes for game-related programs. This panel will address the history of curricular development in the field, both in individual programs and across institutions. It will also explore the potential risks and rewards of developing curricular and/or …

Card Tricks: A Workflow For Scalability And Dynamic Content Creation Using Paper2d And Unreal Engine 4, Owen Gottlieb, Dakota Herold, Edward Amidon

Presentations and other scholarship

In this paper, we describe the design and technological methods of

our dynamic sprite system in Lost & Found, a table-top-to-mobile

card game designed to improve literacy regarding prosocial

aspects of religious legal systems, specifically, collaboration and

cooperation. Harnessing the capabilities of Unreal Engine’s

Paper2D system, we created a dynamic content creation pipeline

that empowered our game designers so that they could rapidly

iterate on the game’s systems and balance externally from the

engine. Utilizing the Unreal Blueprint component system we were

also able to modularize each actor during runtime as data may be

changed. The technological approach behind Lost …

Ancr—An Adaptive Network Coding Routing Scheme For Wsns With Different-Success-Rate Links †, Xiang Ji, Anwen Wang, Chunyu Li, Chun Ma, Yao Peng, Dajin Wang, Qingyi Hua, Feng Chen, Dingyi Fang

Department of Computer Science Faculty Scholarship and Creative Works

As the underlying infrastructure of the Internet of Things (IoT), wireless sensor networks (WSNs) have been widely used in many applications. Network coding is a technique in WSNs to combine multiple channels of data in one transmission, wherever possible, to save node’s energy as well as increase the network throughput. So far most works on network coding are based on two assumptions to determine coding opportunities: (1) All the links in the network have the same transmission success rate; (2) Each link is bidirectional, and has the same transmission success rate on both ways. However, these assumptions may not be …

Parallelization Of Molecular Docking Algorithms Using Cuda For Use In Drug Discovery, Brandon Stewart, Jonathan Fine, Gaurav Chopra Phd

The Summer Undergraduate Research Fellowship (SURF) Symposium

Traditional drug discovery methodology uses a multitude of software packages to design and evaluate new drug-like compounds. While software packages implement a wide variety of methods, the serial (i.e. single core) implementation for many of these algorithms, prohibit large scale docking, such as proteome-wide docking (i.e. thousands of compounds with thousands of proteins). Several docking algorithms can be parallelized, significantly reducing the runtime of the calculations, thus enabling large-scale docking. Implementing algorithms that take advantage of the distributed nature of graphical processing units (GPUs) via the Compute Unified Device Architecture (CUDA) enables us to efficiently implement massively parallel algorithms. Two …

Visualization And 3d Printing Of A 3d Solar Tracker Model Using Mayavi And Pov-Ray, Aditya Mehra

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

In this work, we have created a realistic model of a solar tracker using Mayavi: 3D scientific data visualization and plotting in Python, Enthought Canopy:a comprehensive Python analysis environment and Persistence of Vision Ray Tracer, or POV-Ray, a ray tracing program which generates photo-realistic images from a text-based scene description, a model of the solar tracker was also 3D printed.

A Reliable And Efficient Wireless Sensor Network System For Water Quality Monitoring, Dung Nguyen, Phu Huu Phung

Computer Science Faculty Publications

Wireless sensor networks (WSNs) are strongly useful to monitor physical and environmental conditions to provide realtime information for improving environment quality. However, deploying a WSN in a physical environment faces several critical challenges such as high energy consumption, and data loss.In this work, we have proposed a reliable and efficient environmental monitoring system in ponds using wireless sensor network and cellular communication technologies. We have designed a hardware and software ecosystem that can limit the data loss yet save the energy consumption of nodes. A lightweight protocol acknowledges data transmission among the nodes. Data are transmitted to the cloud using …