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2014

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Articles 841 - 870 of 1965

Full-Text Articles in Computer Sciences

Automated Snort Signature Generation, Brandon Rice May 2014

Automated Snort Signature Generation, Brandon Rice

Masters Theses, 2010-2019

Network intrusion systems work on many models, but at their core they rely on algorithms to process data and determine if the network traffic is malicious in nature. Snort is the most widely-used open source network based Intrusion Prevention System / Intrusion Detection System (IPS/IDS) system. It works by comparing network traffic to a list or lists of rules to determine if and what action should be taken. These rules are referred to as signatures, since they are intended to identify a single pattern of network traffic just like a physical signature identifies a single author. I have developed an …

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Learning Directional Co-Occurrence For Human Action Classification, Hong Liu, Mengyuan Liu, Qianru Sun May 2014

Learning Directional Co-Occurrence For Human Action Classification, Hong Liu, Mengyuan Liu, Qianru Sun

Research Collection School Of Computing and Information Systems

Spatio-temporal interest point (STIP) based methods have shown promising results for human action classification. However, state-of-art works typically utilize bag-of-visual words (BoVW), which focuses on the statistical distribution of features but ignores their inherent structural relationships. To solve this problem, a descriptor, namely directional pair-wise feature (DPF), is proposed to encode the mutual direction information between pairwise words, aiming at adding more spatial discriminant to BoVW. Firstly, STIP features are extracted and classified into a set of labeled words. Then in each frame, the DPF is constructed for every pair of words with different labels, according to their assigned directional …

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Improving Image Clustering Using Sparse Text And The Wisdom Of The Crowds, Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus May 2014

Improving Image Clustering Using Sparse Text And The Wisdom Of The Crowds, Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus

CMC Faculty Publications and Research

We propose a method to improve image clustering using sparse text and the wisdom of the crowds. In particular, we present a method to fuse two different kinds of document features, image and text features, and use a common dictionary or “wisdom of the crowds” as the connection between the two different kinds of documents. With the proposed fusion matrix, we use topic modeling via non-negative matrix factorization to cluster documents.

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Building A Framework For Indiana Geospatial Education, Benjamin D. Branch, Kathy L. Kozenski May 2014

Building A Framework For Indiana Geospatial Education, Benjamin D. Branch, Kathy L. Kozenski

Libraries Faculty and Staff Presentations

No abstract provided.

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College Of Engineering Senior Design Competition Spring 2014, University Of Nevada, Las Vegas May 2014

College Of Engineering Senior Design Competition Spring 2014, University Of Nevada, Las Vegas

Fred and Harriet Cox Senior Design Competition Projects

Part of every UNLV engineering student’s academic experience, the senior design project stimulates engineering innovation and entrepreneurship. Each student in their senior year chooses, plans, designs, and prototypes a product in this required element of the curriculum. A capstone to the student’s educational career, the senior design project encourages the student to use everything learned in the engineering program to create a practical, real world solution to an engineering challenge. The senior design competition helps focus the senior students in increasing the quality and potential for commercial application for their design projects. Judges from local industry evaluate the projects on …

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Surface Reconstruction Using Differential Invariant Signatures, Sophors Khut May 2014

Surface Reconstruction Using Differential Invariant Signatures, Sophors Khut

Mathematics, Statistics, and Computer Science Honors Projects

This thesis addresses the problem of reassembling a broken surface. Three di- mensional curve matching is used to determine shared edges of broken pieces. In practice, these pieces may have different orientation and position in space, so edges cannot be directly compared. Instead, a differential invariant signature is used to make the comparison. A similarity score between edge signatures determines if two pieces share an edge. The Procrustes algorithm is applied to find the translations and rotations that best fit shared edges. The method is implemented in Matlab, and tested on a broken spherical surface.

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Hurdle Models And Age Effects In The Major League Baseball Draft, Justin Sims May 2014

Hurdle Models And Age Effects In The Major League Baseball Draft, Justin Sims

Mathematics, Statistics, and Computer Science Honors Projects

Major League Baseball (MLB) franchises expend an abundance of resources on scouting in preparation for the June Amateur Draft. In addition to the classic "tools" assessed, another factor considered is age: younger players may get selected over older players of equal ability because of anticipated development, whereas college players may get selected over high school players due to a shortened latency before reaching the majors. Additionally, Little League rules in effect until 2006 operated on an August 1-July 31 year, meaning that, in their youth, players born on August 1 were the eldest relative to their cohort. We examine the …

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Parallel Design Patterns And Program Performance, Yu Zhao May 2014

Parallel Design Patterns And Program Performance, Yu Zhao

Mathematics, Statistics, and Computer Science Honors Projects

With the rapid advancement of parallel and distributed computing (PDC), three types of hardware and their corresponding software (hardware-software pairs) are becoming more and more popular: Distributed Memory Systems with the Message Passing Interface (MPI) library, Shared Memory Systems with the OpenMP library and Co-processor Systems with a general purpose parallel computing library. Alongside the development of both hardware and software aspects of PDC, the process of designing parallel programs has also improved significantly over the years. A consequence of this is that researchers have been able to describe many parallel design patterns, which are recurring solutions to well-known problems …

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Intelligent Sampling For Big Data Using Bootstrap Sampling And Chebyshev Inequality, Ashwin Satyanarayana May 2014

Intelligent Sampling For Big Data Using Bootstrap Sampling And Chebyshev Inequality, Ashwin Satyanarayana

Publications and Research

The amount of data being generated and stored is growing exponentially, owed in part to the continuing advances in computer technology. These data present tremendous opportunities in data mining, a burgeoning field in computer science that focuses on the development of methods that can extract knowledge from data. In many real world problems, these data mining algorithms have access to massive amounts of data. Mining all the available data is prohibitive due to computational (time and memory) constraints. Much of the current research is concerned with scaling up data mining algorithms (i.e. improving on existing data mining algorithms for larger …

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Lifi: Line-Of-Sight Identification With Wifi, Zimu Zhou, Zheng Yang, Chenshu Wu, Wei Sun, Yunhao Liu May 2014

Lifi: Line-Of-Sight Identification With Wifi, Zimu Zhou, Zheng Yang, Chenshu Wu, Wei Sun, Yunhao Liu

Research Collection School Of Computing and Information Systems

Wireless LANs, especially WiFi, have been pervasively deployed and have fostered myriad wireless communication services and ubiquitous computing applications. A primary concern in designing each scenario-tailored application is to combat harsh indoor propagation environments, particularly Non-LineOf-Sight (NLOS) propagation. The ability to distinguish LineOf-Sight (LOS) path from NLOS paths acts as a key enabler for adaptive communication, cognitive radios, robust localization, etc. Enabling such capability on commodity WiFi infrastructure, however, is prohibitive due to the coarse multipath resolution with mere MAC layer RSSI. In this work, we dive into the PHY layer and strive to eliminate irrelevant noise and NLOS paths …

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A Simple Probabilistic Explanation Of Term Frequency-Inverse Document Frequency (Tf-Idf) Heuristic (And Variations Motivated By This Explanation), Lukas Havrlant, Vladik Kreinovich May 2014

A Simple Probabilistic Explanation Of Term Frequency-Inverse Document Frequency (Tf-Idf) Heuristic (And Variations Motivated By This Explanation), Lukas Havrlant, Vladik Kreinovich

Departmental Technical Reports (CS)

In document analysis, an important task is to automatically find keywords which best describe the subject of the document. One of the most widely used techniques for keyword detection is a technique based on the term frequency-inverse document frequency (tf-idf) heuristic. This techniques has some explanations, but these explanations are somewhat too complex to be fully convincing. In this paper, we provide a simple probabilistic explanation for the tf-idf heuristic. We also show that the ideas behind explanation can help us come up with more complex formulas which will hopefully lead to a more adequate detection of keywords.

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The Case For Open Source Software, Singapore Management University May 2014

The Case For Open Source Software, Singapore Management University

Perspectives@SMU

You use it more often than you are aware, and you can even use it to get a job

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A Continuous Learning Strategy For Self-Organizing Maps Based On Convergence Windows, Gregory T. Breard May 2014

A Continuous Learning Strategy For Self-Organizing Maps Based On Convergence Windows, Gregory T. Breard

Senior Honors Projects

A self-organizing map (SOM) is a type of artificial neural network that has applications in a variety of fields and disciplines. The SOM algorithm uses unsupervised learning to produce a low-dimensional representation of high- dimensional data. This is done by 'fitting' a grid of nodes to a data set over a fixed number of iterations. With each iteration, the nodes of the map are adjusted so that they appear more like the data points. The low-dimensionality of the resulting map means that it can be presented graphically and be more intuitively interpreted by humans. However, it is still essential to …

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Wiener's Conjecture About Transformation Groups Helps Predict Which Fuzzy Techniques Work Better, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich May 2014

Wiener's Conjecture About Transformation Groups Helps Predict Which Fuzzy Techniques Work Better, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Often, application success only comes when we select specific fuzzy techniques (t-norm, membership function, etc.) -- and in different applications, different techniques are the best. How to find the best technique? Exhaustive search of all techniques is not an option: there are too many of them. We need to come up with a narrow class of promising techniques, so that trying them all is realistic. In this paper, we show that such a narrowing can be obtained from transformation groups techniques motivated by N. Wiener's conjecture -- which was, in its turn, motivated by observations about human vision.

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Towards Efficient Algorithms For Approximating A Fuzzy Relation By Fuzzy Rules: Case When "And"- And "Or"-Operation Are Distributive, Christian Servin, Vladik Kreinovich May 2014

Towards Efficient Algorithms For Approximating A Fuzzy Relation By Fuzzy Rules: Case When "And"- And "Or"-Operation Are Distributive, Christian Servin, Vladik Kreinovich

Departmental Technical Reports (CS)

A generic fuzzy relation often requires too many parameters to represent -- especially when we have a relation between many different quantities x1, ..., xn. There is, however, a class of relations which require much fewer parameters to describe - namely, relations which come from fuzzy rules. It is therefore reasonable to approximate a given relation by fuzzy rules. In this paper, we explain how this can be done in an important case when "and"- and "or"-operation are distributive -- and we also explain why this case is important.

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A Comparison Of Dropout And Weight Decay For Regularizing Deep Neural Networks, Thomas Grant Slatton May 2014

A Comparison Of Dropout And Weight Decay For Regularizing Deep Neural Networks, Thomas Grant Slatton

Computer Science and Computer Engineering Undergraduate Honors Theses

In recent years, deep neural networks have become the state-of-the art in many machine learning domains. Despite many advances, these networks are still extremely prone to overfit. In neural networks, a main cause of overfit is coadaptation of neurons which allows noise in the data to be interpreted as meaningful features. Dropout is a technique to mitigate coadaptation of neurons, and thus stymie overfit. In this paper, we present data that suggests dropout is not always universally applicable. In particular, we show that dropout is useful when the ratio of network complexity to training data is very high, otherwise traditional …

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The Design And Implementation Of A Lightweight Game Engine For The Iphone Platform, Luke B. Godfrey May 2014

The Design And Implementation Of A Lightweight Game Engine For The Iphone Platform, Luke B. Godfrey

Computer Science and Computer Engineering Undergraduate Honors Theses

In this thesis, the design for a two dimensional game engine for the iPhone using the entity component system (ECS) model is presented as a solution to enable developers to streamline game development. Some background concepts are explained, including the ECS model and a brief overview of part of the iOS SDK used in this project. Related work is explored. An implementation of the design is then described in detail, presented as two parts: a framework and a core set of systems. Finally, the implemented engine is evaluated according to three criteria: ease of use, flexibility, and efficiency. The results …

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Stylecheck: An Automated Stylistic Analysis Tool, Alexander P. Welton May 2014

Stylecheck: An Automated Stylistic Analysis Tool, Alexander P. Welton

Dartmouth College Undergraduate Theses

StyleCheck is a user-friendly tool with multiple functions designed to aid in the production of quality writing. Its features include stylistic analysis (on both document-wide and individual-sentence scales) and spelling and grammar check, as well as generating suggested replacements for all types of errors. In addition, StyleCheck includes the capability to identify the famous author (out of a limited corpus) with the style most similar to the user's. The source code for StyleCheck is available online at: https://github.com/alexpwelton/StyleCheck

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Csilm: Interactive Learning Modules For Computer Science, Srinivasa Santosh Kumar Allu May 2014

Csilm: Interactive Learning Modules For Computer Science, Srinivasa Santosh Kumar Allu

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

CSILM is an online interactive learning management system designed to help students learn fundamental concepts of computer science. Apart from learning computer science modules using multimedia, this online system also allows students talk to professors using communication mediums like chat and implemented web analytics, enabling teachers to track student behavior and see student’s interest in learning the modules,. Integrating social media in to the existing portal also makes it possible for students to share the modules they have created, helping students work together.

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With Whom To Coordinate, Why And How In Ad-Hoc Social Media Communications During Crisis Response, Hemant Purohit, Shreyansh Bhatt, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John M. Flach May 2014

With Whom To Coordinate, Why And How In Ad-Hoc Social Media Communications During Crisis Response, Hemant Purohit, Shreyansh Bhatt, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John M. Flach

Kno.e.sis Publications

During crises affected people, well-wishers, and observers join social media communities to discuss the event. They often share useful information relevant to response coordination, for example, specific resource needs. However, responders face the challenge of massive data overload and lack the time to monitor social media traffic for important information. Analysis shows that only a small number of event related conversations are actionable. Moreover, responders do not know which sources are trustworthy. To address these challenges, response teams may apply manual filtering methods, resulting in limited coverage and quality. We propose a framework and interface for extracting specific resource-related information …

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Information Technology Project Management Of The New College Of Education Facility At Western Kentucky University, Christopher Lee Roberts May 2014

Information Technology Project Management Of The New College Of Education Facility At Western Kentucky University, Christopher Lee Roberts

Masters Theses & Specialist Projects

Information Technology (IT) Project Management methodologies are numerous, often varying from organization to organization, and sometimes from project to project within the same organization. Although project type and scope can be a powerful indicator of what methodologies may work best for a given project, choosing which methodology to use can be daunting for project teams. At times, even after due diligence has been practiced to identify the management options available for a given project, there may not be a perfect fit. At such times, or when a formal methodology does not exist in an organization or project management office, the …

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Using Statistical Methods To Determine Geolocation Via Twitter, Christopher M. Wright May 2014

Using Statistical Methods To Determine Geolocation Via Twitter, Christopher M. Wright

Masters Theses & Specialist Projects

With the ever expanding usage of social media websites such as Twitter, it is possible to use statistical inquires to form a geographic location of a person using solely the content of their tweets. According to a study done in 2010, Zhiyuan Cheng, was able to detect a location of a Twitter user within 100 miles of their actual location 51% of the time. While this may seem like an already significant find, this study was done while Twitter was still finding its ground to stand on. In 2010, Twitter had 75 million unique users registered, as of March 2013, …

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Teaching Hdfs/Mapreduce Systems Concepts To Undergraduates, Linh B. Ngo, Amy W. Apon, Edward B. Duffy May 2014

Teaching Hdfs/Mapreduce Systems Concepts To Undergraduates, Linh B. Ngo, Amy W. Apon, Edward B. Duffy

Publications

This paper presents the development of a Hadoop MapReduce module that has been taught in a course in distributed computing to upper undergraduate computer science students at Clemson University. The paper describes our teaching experiences and the feedback from the students over several semesters that have helped to shape the course. We provide suggested best practices for lecture materials, the computing platform, and the teaching methods. In addition, the computing platform and teaching methods can be extended to accommodate emerging technologies and modules for related courses.

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Mining Contrast Subspaces, Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Akiko Campbell, Changjie Tang May 2014

Mining Contrast Subspaces, Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Akiko Campbell, Changjie Tang

Kno.e.sis Publications

In this paper, we tackle a novel problem of mining contrast subspaces. Given a set of multidimensional objects in two classes C+  and C− and a query object o, we want to find top-k subspaces S that maximize the ratio of likelihood of o in C+  against that in C−. We demonstrate that this problem has important applications, and at the same time, is very challenging. It even does not allow polynomial time approximation. We present CSMiner, a mining method with various pruning techniques. CSMiner is substantially faster than the baseline method. Our …

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Capturing And Analyzing Network Traffic From Common Mobile Devices For Security And Privacy, Billy Overton May 2014

Capturing And Analyzing Network Traffic From Common Mobile Devices For Security And Privacy, Billy Overton

Undergraduate Honors Theses

Mobile devices such as tablets and smartphones are becoming more common, and they are holding more information. This includes private information such as contacts, financial data, and passwords. At the same time these devices have network capability with access to the Internet being a prime feature. Little research has been done in observing the network traffic produced by these mobile devices. To determine if private information was being transmitted without user knowledge, the mobile capture lab and a set of procedures have been created to observe, capture and analyze the network traffic produced by mobile devices. The effectiveness of the …

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Lighting And Compositing For Qa-Arm-A, Mandy Madigan May 2014

Lighting And Compositing For Qa-Arm-A, Mandy Madigan

All Theses

This thesis focuses on lighting, rendering, and compositing for the short film, QA-ARM-A. The goal of this project was to create a photorealistic short film centered on an interesting story. During this project, aesthetic direction, rendering requirements, and technical challenges arose. Issues of primary importance included: the proper render system to employ, the division of render layers, the selection of render passes, the combination of those layers and passes in compositing, and techniques for lighting each scene. As a result, many of the collaborative techniques and methods can be directly employed in future productions.

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Interval And Symmetry Approaches To Uncertainty -- Pioneered By Wiener -- Helps Explain Many Seemingly Irrational Human Behaviors: A Case Study, Joe Lorkowski, Vladik Kreinovich May 2014

Interval And Symmetry Approaches To Uncertainty -- Pioneered By Wiener -- Helps Explain Many Seemingly Irrational Human Behaviors: A Case Study, Joe Lorkowski, Vladik Kreinovich

Departmental Technical Reports (CS)

It has been observed that in many cases, when we present a user with three selections od different price (and, correspondingly, different quality), then the user selects the middle selection. This empirical fact -- known as a compromise effect -- seems to contradicts common sense. Indeed, when a rational decision-maker selects one of the two alternatives, and then we add an additional option, then the user will either keep the previous selection or switch to a new option, but he/she will not select a previously rejected option. However, this is exactly what happens under the compromise effect. If we present …

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Ear Contour Detection And Modeling Using Statistical Shape Models, Satish Ravindran May 2014

Ear Contour Detection And Modeling Using Statistical Shape Models, Satish Ravindran

All Theses

Ear detection is an actively growing area of research because of its applications in human head tracking and biometric recognition. In head tracking, it is used to augment face detectors and to perform pose estimation. In biometric systems, it is used both as an independent modality and in multi-modal biometric recognition. The ear shape is the preferred feature used to perform detection because of its unique structure in both 2D color images and 3D range images. Ear shape models have also been used in literature to perform ear detection, but at a cost of a loss in information about the …

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Development Of Etsu Student Life Android Application, Tyler L. Cox May 2014

Development Of Etsu Student Life Android Application, Tyler L. Cox

Undergraduate Honors Theses

In this thesis, the author gives a description his journey creating and developing a Student Life Application for East Tennessee State University. This thesis will document his process with development as well as reflect on the struggles and victories in creation of this application.

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Long-Term Multi-Dimensional Interactive Time-Lapse Photography Using Microsoft Kinect, Daniel Mccoy May 2014

Long-Term Multi-Dimensional Interactive Time-Lapse Photography Using Microsoft Kinect, Daniel Mccoy

All Theses

In this thesis, a method is presented for the capture and interactive presentation of long-term multi-dimensional time-lapse photography. Time-lapse capture is commonly used for the observation based study of relatively long term phenomena such as plant growth and weather patterns. In terms of filmic devices, the visual time compression effect is complementary to slow motion and is nearly as prevalent. In this project, commonly available camera and computer equipment is used to capture images autonomously with minimal system supervision. A set of images is established, using long term, short interval continuous capture at a fixed position. Results are presented demonstrating …

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