Computer Sciences Commons^™

Integrating The Sap Software Into The Manufacturing Engineering Curriculum, Lin Qian

Open Access Theses

The concept of Enterprise Resource Planning (ERP) was developed to integrate data efficiently and eliminate redundancy within organizations. Worldwide industries rely on ERP systems to keep a competitive advantage in world market place. Besides, cross-functional knowledge is required in industry. It is critical that schools integrate ERP concepts and methods in to academic curricula for Technology and Engineering School.

This thesis examined the effectiveness of a simulation game as a method for teaching for ERP systems in Technology and Engineering. The quasi-experimental design was used in this study to determine if the SAP simulation game had an impact on students' …

Interactive Multivariate Data Exploration For Risk-Based Decision Making, Silvia Oliveros Torres

Open Access Theses

Risk-based decision making is a data-driven process used to gather data about outcomes, analyze different scenarios, and deliver informed decisions to mitigate risk.

An interactive visual analytics system can help derive insights from large amounts of data and facilitate the risk management process thereby providing a suitable solution to examine different decision factors. This work introduces two separate systems that

incorporate visual analytics techniques to help the users in the tasks of identifying patterns, finding correlations, designing mitigation strategies, and assisting in the long term planning and assessment process. The first system looks at the National Health

and Nutrition Examination …

An Analysis Of Underlying Competencies And Computer And Information Technology Learning Objectives For Business Analysis, Ryan Thomas Quigley

Open Access Theses

This research examines whether the Computer and Information Technology (CIT) department at Purdue University should develop a business analyst concentration. The differences between system and business analysts, evolution of the business analyst profession, job demand and trends, and applicable model curricula were explored to support this research. Review of relevant literature regarding the topics suggested that a business analyst concentration should be developed. A gap analysis was performed to determine how well selected CIT courses address the skills and competencies required by today's business analysts. The primary finding, as a result of the analysis, was that CIT courses alone are …

Distributed Digital Forensics On Pre-Existing Internal Networks, Jeremiah Jens Nielsen

Open Access Theses

Today's large datasets are a major hindrance on digital investigations and have led to a substantial backlog of media that must be examined. While this media sits idle, its relevant investigation must sit idle inducing investigative time lag. This study created a client/server application architecture that operated on an existing pool of internally networked Windows 7 machines. This distributed digital forensic approach helps to address scalability concerns with other approaches while also being financially feasible. Text search runtimes and match counts were evaluated using several scenarios including a 100 GB image with prefabricated data. When compared to FTK 4.1, a …

Text-Based Phishing Detection Using A Simulation Model, Gilchan Park

Open Access Theses

Phishing is one of the most potentially disruptive actions that can be performed on the Internet. Intellectual property and other pertinent business information could potentially be at risk if a user falls for a phishing attack. The most common way of carrying out a phishing attack is through email. The adversary sends an email with a link to a fraudulent site to lure consumers into divulging their confidential information. While such attacks may be easily identifiable for those well-versed in technology, it may be difficult for the typical Internet user to spot a fraudulent email.

The emphasis of this research …

Simulating Land Use Land Cover Change Using Data Mining And Machine Learning Algorithms, Amin Tayyebi

Open Access Dissertations

The objectives of this dissertation are to: (1) review the breadth and depth of land use land cover (LUCC) issues that are being addressed by the land change science community by discussing how an existing model, Purdue's Land Transformation Model (LTM), has been used to better understand these very important issues; (2) summarize the current state-of-the-art in LUCC modeling in an attempt to provide a context for the advances in LUCC modeling presented here; (3) use a variety of statistical, data mining and machine learning algorithms to model single LUCC transitions in diverse regions of the world (e.g. United States …

Information Measures For Statistical Orbit Determination, Alinda Kenyana Mashiku

Open Access Dissertations

The current Situational Space Awareness (SSA) is faced with a huge task of tracking the increasing number of space objects. The tracking of space objects requires frequent and accurate monitoring for orbit maintenance and collision avoidance using methods for statistical orbit determination. Statistical orbit determination enables us to obtain estimates of the state and the statistical information of its region of uncertainty given by the probability density function (PDF). As even collision events with very low probability are important, accurate prediction of collisions require the representation of the full PDF of the random orbit state. Through representing the full PDF …

User Assisted Tree Reconstruction From Point Clouds, William P. Leavenworth Ii

Department of Computer Graphics Technology Degree Theses

LIDAR is a useful tool for quickly digitalizing real world objects, but it usually takes some effort to produce a recognizable object from the raw input. When the object is a tree, the challenge is to create a three‐dimensional model that represents its general shape, while avoiding the influence of undersampling and noise. In the method developed for this research, the user creates a sketch overlaying a display of the raw input data. Each node in the sketch creates an estimated slice of the tree skeleton at that point, and the slices are connected according to the connectivity of the …

The Utilization Of Context To Adapt The Interface Of A Computer, Ludovic Delaveau

Purdue Polytechnic Masters Theses

This research examines the possibility for a computer to adapt its interface and its settings to the current environment, through the notion of situations and corresponding profiles. These situations are group of context elements and tasks or activities performed in that operating conditions, such as the activities conducted at the workplace or the relaxation time at home. The profiles are set of configuration values for the computer, such as the network services. Adapting the computer serves the user as it takes care of putting his computer in the right mode to be efficient in the activity performed. In order to …

Analyzing Financial Data Through Interactive Visualization, Fizi Yadav

Purdue Polytechnic Masters Theses

This investigation explored the role data visualization in the scientific community and its effect on the cognitive ability of an individual. The research attempted to answer the question, “ Whether appropriate data visualization helps in better understanding of corporate financial data?” and used quantitative methods to gain an insight. Participants in the study were divided into two groups of 30 each, with one group receiving the treatment devised for the research and the other using the common prevalent method. Both the groups were subjected to a test, based upon the analysis of which a conclusion was derived. The subjects were …

Defining Industry Expectations And Misconceptions Of Art And Technology Co-Creativity, Vanessa C. Brasfield

Department of Computer Graphics Technology Degree Theses

The primary purpose of this study was to establish whether or not students and industry professionals share the same views about what students should be learning in animation education, what skills are necessary, and whether or not students graduating with a bachelor’s degree would be adequately prepared for an entry level position. To establish where misconceptions lie, surveys were issued to three groups: undergraduate students, post-graduate students, and industry professionals. These surveys were then analyzed using paired t-test for validation and question relevance, and ANOVA models to establish whether or not groups shared viewpoints. These data established significance within the …

Matching Phosphorylation Response Patterns Of Antigen-Receptor-Stimulated T Cells Via Flow Cytometry, Ariful Azad, Saumyadipta Pyne, Alex Pothen

Department of Computer Science Faculty Publications

Background

When flow cytometric data on mixtures of cell populations are collected from samples under different experimental conditions, computational methods are needed (a) to classify the samples into similar groups, and (b) to characterize the changes within the corresponding populations due to the different conditions. Manual inspection has been used in the past to study such changes, but high-dimensional experiments necessitate developing new computational approaches to this problem. A robust solution to this problem is to construct distinct templates to summarize all samples from a class, and then to compare these templates to study the changes across classes or conditions. …

Two Approximate Minkowski Sum Algorithms, Victor Milenkovic, Elisha P. Sacks

Department of Computer Science Faculty Publications

We present two approximate Minkowski sum algorithms for planar regions bounded by line and circle segments. Both algorithms form a convolution curve, construct its arrangement, and use winding numbers to identify sum cells. The first uses the kinetic convolution and the second uses our monotonic convolution. The asymptotic running times of the exact algorithms are increased by kmlogm with m the number of segments in the convolution and with k the number of segment triples that are in cyclic vertical order due to approximate segment intersection. The approximate Minkowski sum is close to the exact sum of perturbation regions that …

Comparison Of Clustered Rdf Data Stores, Venkata Patchigolla

Purdue Polytechnic Masters Theses

Storing data in RDF format helps in simpler data interchange among different researchers compared to present approaches. There has been tremendous increase in the applications that use RDF data. The nature of RDF data is such that it tends to increase explosively. This makes it necessary to consider the time for retrieval and scalability of data while selecting a suitable RDF data store for developing applications. The research concentrates on comparing BigOWLIM. Bigdata, 4store and Virtuoso RDF stores on basis of their scalability and performance of storing and retrieving cancer proteomics and mass spectrometry data using SPARQL queries. In this …

A Cost-Benefit Analysis Of A Campus Computing Grid, Preston M. Smith

Purdue Polytechnic Masters Theses

Any major research institution has a substantial number of computer systems on its campus, often in the scale of tens of thousands. Given that a large amount of scientific computing is appropriate for execution in an opportunistic environment, a campus grid is an inexpensive way to build a powerful computational resource. What is missing, though, is a model for making an informed decision on the cost-effectives of a campus grid. In this thesis, the author describes a model for measuring the costs and benefits of building a campus computing resource based on the institution’s existing investment in computing hardware.

For …

Visual Learning Styles Among Digital Natives, Eric Palmer

Department of Computer Graphics Technology Degree Theses

This study explored the concept of digital nativity and its educational implications, including application of the learning styles hypothesis. The concept of digital natives, first put forth by Marc Prensky, introduced the notion that individuals raised in a technological environment have developed in such a way as to utilize information differently than the non-native generations before them. This study examined the possibility that these differences may include an increased efficiency in the utilization of narrative imagery versus textual information. The potential benefit of utilizing narrative imagery as an instructional tool is discussed. An experimental test application was developed for the …

Controlled Linear Perturbation, Elisha P. Sacks, Victor Milenkovic, Min-Ho Kyung

Department of Computer Science Faculty Publications

We present an algorithmic solution to the robustness problem in computational geometry, called controlled linear perturbation, and demonstrate it on Minkowski sums of polyhedra. The robustness problem is how to implement real RAM algorithms accurately and efficiently using computer arithmetic. Approximate computation in floating point arithmetic is efficient but can assign incorrect signs to geometric predicates, which can cause combinatorial errors in the algorithm output. We make approximate computation accurate by performing small input perturbations, which we compute using differential calculus. This strategy supports fast, accurate Minkowski sum computation. The only prior robust implementation uses a less efficient algorithm, requires …

Global Dimension Of Ci: Compete Or Collaborate, Arden L. Bement Jr.

PPRI Digital Library

No abstract provided.

Increasing Effectiveness Of The Zachman Framework Using The Balanced Scorecard, Anagha Gokhale

Purdue Polytechnic Masters Theses

The purpose of this study is to explore the impact of integrating the use of Zachman Framework of Enterprise Architecture and the Balanced Scorecard (BSC) Framework for an effective business-IT alignment. The study tries to identify certain gaps in the Zachman Framework focusing on the motivational aspects of the framework, which have been discussed in the literature review. The aim is to achieve the integration by mitigating these motivational aspect’s weaknesses in the Zachman Framework using the deliverables obtained from the BSC. Thus the author proposes to achieve business-IT alignment through this integration. No research studies in the past have …

Factors Affecting College Students’ Knowledge And Opinions Of Genetically Modified Foods, Chad Laux, Gretchen A. Mosher, Steven A. Freeman

Faculty Publications

The use of biotechnology in food and agricultural applications has increased greatly during the past decade and is considered by many to be a controversial topic. Drawing upon a previous national study, a new survey was conducted of U.S. and international college students at a large, land-grant, Research University to determine factors that may affect opinions about genetically modified (GM) food products. Factors examined included nationality, discipline area of study, perceptions of safety, and awareness and levels of acceptance regarding GM food. Results indicated students born outside the United States had more negative opinions about genetically modified foods than did …

A Visual Analytics Approach To Understanding Spatiotemporal Hotspots, Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun Grannis, David S. Ebert

Cyber Center Publications

As data sources become larger and more complex, the ability to effectively explore and analyze patterns amongst varying sources becomes a critical bottleneck in analytic reasoning. Incoming data contains multiple variables, high signal to noise ratio, and a degree of uncertainty, all of which hinder exploration, hypothesis eneration/exploration, and decision making. To facilitate the exploration of such data, advanced tool sets are needed that allow the user to interact with their data in a visual environment that provides direct analytic capability for finding data aberrations or hotspots. In this paper, we present a suite of tools designed to facilitate the …

Identifying Interesting Instances For Probabilistic Skylines, Yinian Qi, Mikhail J. Atallah

Department of Computer Science Technical Reports

No abstract provided.

A Statistical Method For Integrated Data Cleaning And Imputation, Chris Mayfield, Jennifer Neville, Sunil Prabhakar

Department of Computer Science Technical Reports

No abstract provided.

Homomorphic Encryption Based K-Out-Of-N Oblivious Transfer Protocols, Mummoorthy Murugesan, Wei Jiang, Erhan Nergiz, Serkan Uzunbaz

Department of Computer Science Technical Reports

No abstract provided.

Non-Pinhole Imposters, Voicu Popescu, Kyle Hayward, Paul Rosen, Chris Wyman

Department of Computer Science Technical Reports

No abstract provided.

A Network-Aware Distributed Membership Protocol For Collaborative Defense, David Zage, Carl Livadas, Eve M. Schooler

Department of Computer Science Technical Reports

No abstract provided.

On The Modification Of An Eigenvalue Problem That Preserves An Eigenspace, Maxim Maumov

Department of Computer Science Technical Reports

No abstract provided.

Supporting Real-World Activities In Database Management Systems, Mohamed Eltabakh, Walid G. Aref, Ahmed K. Elmagarmid, Yasin Laura-Silva, Mourad Ouzzani

Department of Computer Science Technical Reports

No abstract provided.

Protein-Protein Docking Using Region-Based 3d Zernike Descriptors., Vishwesh Venkatraman, Yifeng D. Yang, Lee Sael, Daisuke Kihara

Department of Biological Sciences Faculty Publications

Background

Protein-protein interactions are a pivotal component of many biological processes and mediate a variety of functions. Knowing the tertiary structure of a protein complex is therefore essential for understanding the interaction mechanism. However, experimental techniques to solve the structure of the complex are often found to be difficult. To this end, computational protein-protein docking approaches can provide a useful alternative to address this issue. Prediction of docking conformations relies on methods that effectively capture shape features of the participating proteins while giving due consideration to conformational changes that may occur.

Results

We present a novel protein docking algorithm based …

Application Of 3d Zernike Descriptors To Shape-Based Ligand Similarity Searching, Vishwesh Venkatraman, Padmasini Ramji Chakravarthy, Daisuke Kihara

Department of Biological Sciences Faculty Publications

Background

The identification of promising drug leads from a large database of compounds is an important step in the preliminary stages of drug design. Although shape is known to play a key role in the molecular recognition process, its application to virtual screening poses significant hurdles both in terms of the encoding scheme and speed.

Results

In this study, we have examined the efficacy of the alignment independent three-dimensional Zernike descriptor (3DZD) for fast shape based similarity searching. Performance of this approach was compared with several other methods including the statistical moments based ultrafast shape recognition scheme (USR) and SIMCOMP, …