Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

2014

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 30721 - 30750 of 31780

Full-Text Articles in Entire DC Network

Mining Representative Cohesive Dense Subgraphs, Tyler Brazier Jan 2014

Mining Representative Cohesive Dense Subgraphs, Tyler Brazier

Computer Science

Data mining techniques have an important implication in social and biological network analysis, were we're interested in finding related complexes and communities. A modern paradigm for solving this problem involves finding densely connected interacting members such as bound proteins in a PPI. It's important to also consider the properties of members. In the context of social networks, we might be interested in finding groups of friends of similar age and sharing common interests. This information can lead to better targeting for advertising and suggestions. In this paper, we introduce an algorithm that can be applied to mining entity- relationship networks. …


Does Domain Knowledge Increase Creativity During Requirements Development: An Empirical Investigation, Sonu Sharm Jan 2014

Does Domain Knowledge Increase Creativity During Requirements Development: An Empirical Investigation, Sonu Sharm

Computer Science

To design and build a system/software, we need to understand the business of the organization, so understanding the business is very important for requirement analysis of such system. This requires an effective and efficient use of domain knowledge. In this paper we discuss the results of the empirical study that was carried out to understand the influence of domain knowledge on the creativity during requirement development phase. And then discuss our results, it’s relevance to software organization and some additional findings from the study.


Mining Frequent Coherent Patterns From Weighted Graphs, Syed Kutub Uddin Ahmed Jan 2014

Mining Frequent Coherent Patterns From Weighted Graphs, Syed Kutub Uddin Ahmed

Computer Science

Current research on network analysis; such as community detection, pattern mining and many other graph mining application mostly focus on large social or biological networks. Such experiments may find interesting patterns that helps us to understand the unknown relationship within the network. Sometimes the size of the input networks are so big that it needs an efficient algorithm to overcome the time and space complexities. In this paper we modify an existing algorithm that finds the maximal patterns from a set of input networks. Maximal patterns are those patterns that are not part of any frequent patterns. We introduce a …


Smart Task Scheduling For A Truck Company, Pooja Gautam Jan 2014

Smart Task Scheduling For A Truck Company, Pooja Gautam

Computer Science

The truck scheduling system is a web-based application which will facilitate online truck activities. The objective of the application is to provide the truck system with an automated computerized tool, which will be helpful for the associated users to manage their requirements to find the shipper’s best routes and alternative routes from the available carriers. The system will be a highly robust and user-friendly tool that aims to achieve maximum user satisfaction. Text mining has been used to extract the data from email, i.e., an unstructured data source, and to store the data in a structured form, i.e., in RDBMS, …


Towards Improving P300-Based Brain-Computer Interfaces: From Desktop To Mobile, Qasem Turki Obeidat Jan 2014

Towards Improving P300-Based Brain-Computer Interfaces: From Desktop To Mobile, Qasem Turki Obeidat

Computer Science

A brain-computer interface (BCI) enables a paralyzed user to interact with an external device through brain signals. A BCI measures identi es patterns within these measured signals, translating such patterns into commands. The P300 is a pattern of a scalp potentials elicited by a luminance increment of an attended target rather than a non-target character of an alphanumeric matrix. The Row-Column Paradigm (RCP) can utilize responses to series of illuminations of matrix target and non-target characters to spell out alphanumeric strings of P300-eliciting target characters, yet this popular RCP speller faces three challenges. The adjacent problem concerns the proximity of …


Power Consumption For Ios, Yannick Mingashanga Kwete Jan 2014

Power Consumption For Ios, Yannick Mingashanga Kwete

Computer Science

The shift from traditional software development for personal computers to mobile applications on iOS comes with new challenges and considerations. Software development teams similar to my work group built expertise in delivering quality products for the Mac OS platform. Although the core development and testing processes largely remain the same on iOS devices (iPhones and iPads), a major concern is around an application’s power consumption. The engineering challenge is to build innovative applications that do not drain the battery too quickly. Power consumption testing on iOS is an important area to validate and optimize to deliver quality applications to mobile …


Naïve Bayes Classifier: A Mapreduce Approach, Songtao Zheng Jan 2014

Naïve Bayes Classifier: A Mapreduce Approach, Songtao Zheng

Computer Science

Machine learning algorithms have the advantage of making use of the powerful Hadoop distributed computing platform and the MapReduce programming model to process data in parallel. Many machine learning algorithms have been investigated to be transformed to the MapReduce paradigm in order to make use of the Hadoop Distributed File System (HDFS). Naïve Bayes classifier is one of the supervised learning classification algorithm that can be programmed in form of MapReduce. In our study, we build a Naïve Bayes MapReduce model and evaluate the classifier on five datasets based on the prediction accuracy. Also, a scalability analysis is conducted to …


Critical Information Retrieval From Emails, Souvik Sen Jan 2014

Critical Information Retrieval From Emails, Souvik Sen

Computer Science

With efficiency being a driving force in today’s ecommerce, emails have become a major form of communication. However, deciphering information from these emails has been a be-labored task. With every email containing proprietary information, handling this information has become an arduous task that requires money, time and effort. To tackle this ecommerce problem, a computerized solution is important to expedite the extraction of information. In this paper, we have applied Named Entity Recognition, different rules and algorithms to extract important information from emails. The proposed solution tackles challenges revolving around tabular and natural language formats, which are the largest formats …


Aeronautical Destinations, Brett Rathbone Jan 2014

Aeronautical Destinations, Brett Rathbone

Architecture Theses

One can arrive at as many as three or more airports on the way to their destination with two layovers during the trip, KFAR to KMSP to KSLC to KPSP for example. How can an airport design be more than just a vehicle for aviation, but serve as a desirable location to be, rather than just one more step along the path. It can have such a lack of circumstance that you only remember menial inconveniences, rather than a positive experience. With effort, can an airport be made to evoke a similar set of circumstance as a national landmark when …


Graphical Simulation For Unmanned Aerial Vehicle Mission, Alemayehu Gebremariam Jan 2014

Graphical Simulation For Unmanned Aerial Vehicle Mission, Alemayehu Gebremariam

Computer Science

Unmanned Aerial Vehicles (UAVs) are automated flying planes currently focused on military and civilian applications. This work simulates the motion of UAV in the battlefield environment; making use of the theoretical conditions for the design of real systems. The design of the algorithm is scalable to specify the number of UAVs involving in the mission. The coordinated flights of the UAVs with each other enable them to arrive at the enemy target at the same time. The simulation is based on real flight conditions with some assumption. The snapshot of the results show the different scenarios when only one or …


Simian Plus: A Mission Simulation Enhancement Toolkit, Divya Dayala Jan 2014

Simian Plus: A Mission Simulation Enhancement Toolkit, Divya Dayala

Computer Science

Unmanned Air Vehicles (UAVs) have the ability to execute missions that include detecting and destroying the targets. The Simian simulator developed at NDSU performs complex motion calculations for moment - moment flight and delivers effective inter-agent communication for all the UAV’s. Scenarios that focus on the strategy plan and perform calculations have been, developed to carry out the mission. The goal of this paper is to address the tasks of starting servers, manually writing the required xml files to describe scenario to the simulator and launch simulation in the existing Simian system. Simian Plus is, designed and implemented to ease …


Evaluation Of A New Bio-Inspired Algorithm: Krill Herd, Devi Madamanchi Jan 2014

Evaluation Of A New Bio-Inspired Algorithm: Krill Herd, Devi Madamanchi

Computer Science

Number of nature inspired algorithms is proposed to solve complex optimization problems. The Krill Herd algorithm is one such biologically-inspired algorithm, proposed to solve optimization problems in response to biological and environmental processes. It is mainly based on the simulation technique of the herding behavior of the krill swarms. The objective function is defined as the combination of minimum distance of the krill individual from food and from the highest density of the swarm. The position of the krill individual is mainly influenced by three important factors, (i) movement induced by other krill individuals, (ii) foraging activity, and (iii) random …


Investigating The Use Of Model-Based Method For Improving The Quality Of Natural Language Requirements: A Controlled Empirical Study, Munmun Gupta Jan 2014

Investigating The Use Of Model-Based Method For Improving The Quality Of Natural Language Requirements: A Controlled Empirical Study, Munmun Gupta

Computer Science

Requirement engineering is a critical phase in software development that describes the customer needs and specifications for the software. Requirements are gathered through various sources and documented for a software product to be developed, written in Natural Language (NL). NL requirements are fault prone because they can be interpreted in different ways due its inherent imprecision, ambiguity, and vagueness. To address these problems, model-based requirements verification method called NLtoSTD (State Transition Diagram) is proposed. This paper evaluates the ability of NLtoSTD method in detecting faults when used on NL requirements and to improve its cognitive friendliness to the stakeholders. Motivated …


An Artificial Immune System Heuristic In A Smart Electrical Grid, Md. Minhaz Chowdhury Jan 2014

An Artificial Immune System Heuristic In A Smart Electrical Grid, Md. Minhaz Chowdhury

Computer Science

The immune system of the human body follows a process that is adaptive and learns via experience. Some algorithms are designed to take advantage of this process to determine solutions for complex problem domains. The collection of these algorithms is known as Artificial Immune Systems. Among this collection, one important algorithm is "The Danger Theory." In this thesis, an application of the algorithm has been implemented to solve an electrical grid problem. This problem of interest is the automatic detection of faulty and failure conditions in the electrical grid. A novel application of the Artificial Immune System algorithm is presented …


Light And Shadow : Experiential Boutique Resort, Cassandra Johnston Jan 2014

Light And Shadow : Experiential Boutique Resort, Cassandra Johnston

Architecture Theses

This thesis explores the question, “How can the manipulation of light and shadow through texture affect the experience of a space?” The typology for this thesis is a experiential boutique resort which is located within the outskirts of Las Vegas,NV near the Valley of Fire State Park. The unifying idea of this thesis deals with the detail and manipulation of materials that are created through the use of light and shadow which enhances the overall experience visitors have on a space. The project’s justification provokes the creation of experiences based on different aspects of light and shadow. Every space has …


Adaptability And Design, Nicholas Buck Jan 2014

Adaptability And Design, Nicholas Buck

Architecture Theses

This thesis project, Adaptability and Design, investigates the following question, how can design be adaptable with society’s technological growth within an educational facility? This proposal’s main emphasis is to challenge the integration of architecture and the ever changing technology of the future. The type of building selected for this project will be University Multipurpose Building in Fargo, North Dakota containting 18,000 sqft. Occupants will find their learning experience to be more efficient. The need for this project comes from the rate in which technology is advancing and the human drive to keep up.


The Impact Of The Panama Canal Expansion On U.S. Soybean Exports, Brian Paul Gallagher Jan 2014

The Impact Of The Panama Canal Expansion On U.S. Soybean Exports, Brian Paul Gallagher

Agribusiness and Applied Economics

The objective of this study was to evaluate the impact of the Panama Canal Expansion on the flow of soybeans from producing regions in the U.S. to its ports for export. Specific objectives of this study were to determine the toll rate at which the Panama Canal Authority will maximize their toll revenues for soybeans transiting the canal, and to analyze the impact of the canal expansion on soybean shipments from U.S. producing regions to ports for export. To conduct this study a spatial optimization model was developed. The model minimizes all transportation costs associated with the transportation of soybeans. …


Remediation Of Feedlot Nutrients Runoff By Hydroponic Treatment And Electrolysis Process, Arjun Thapa Jan 2014

Remediation Of Feedlot Nutrients Runoff By Hydroponic Treatment And Electrolysis Process, Arjun Thapa

Agribusiness and Biosystems Engineering

Intensive livestock farming in feedlot producing large amounts of manure and wastewater. Hydroponic and electrolysis treatments were studied for the remediation of nutrients from feedlot runoff. Water hyacinth, water lettuce, and sorghum were hydroponically grown in 10 L of feedlot runoff and Hoagland solution individually in plastic bucket in batches in a greenhouse. All three plants performed well in uptaking NH3-N (more than 90%) in feedlot runoff. From the feedlot runoff, TP reduction by sorghum, water hyacinth, and water lettuce ranged from 70% to 100% , 61% to 74%, and 49% to 93%, respectively. With electrolysis process, 500 mL of …


Beatrice And Francis Business Plan, Rosemary Mlekwa Jan 2014

Beatrice And Francis Business Plan, Rosemary Mlekwa

Apparel Design and Hospitality Management

Beatrice and Francis (B&F) is a fashion design house envisioned by fashion designer Rosemary Mlekwa (RM). This business plan serves as the framework for the development of B&F. The plan highlights how the fashion house intends to debut into the intensively competitive fashion industry and provides insight on the Designs’ product offering and overall vision and mission. Through the vision of RM, B&F aims to grow into a fashion powerhouse offering high end, quality designs to a niche market at lower prices than the competition. Each B&F creation expresses unique femininity, merged with Tanzanian culture and influenced by nature, architecture, …


Parks Reinvented : An Elevated Park In An Urban Setting, Amanda Ahrenholz Jan 2014

Parks Reinvented : An Elevated Park In An Urban Setting, Amanda Ahrenholz

Landscape Architecture Theses

This oasis from the city is atop the Colorado Convention Center in downtown Denver, CO on 14th Street-right in the heart of the hustle and bustle. Because cities are becoming more and more dense, there is less space to save for urban green space and using space atop buildings is both an innovative and green solution. With framing the views of the beautiful Rocky Mountains, site users can experience the views of Denver while still remaining in an urban setting.


Multicomponent Doped Barium Strontium Titanate Thin Films For Tunable Microwave Applications, Fikadu Legesse Alema Jan 2014

Multicomponent Doped Barium Strontium Titanate Thin Films For Tunable Microwave Applications, Fikadu Legesse Alema

Materials and Nanotechnology

In recent years there has been enormous progress in the development of barium strontium titanate (BST) films for tunable microwave applications. However, the properties of BST films still remain inferior compared to bulk materials, limiting their use for microwave technology. Understanding the film/substrate mismatch, microstructure, and stoichiometry of BST films and finding the necessary remedies are vital. In this work, BST films were deposited via radio frequency magnetron sputtering method and characterized both analytically and electrically with the aim of optimizing their properties. The stoichiometry, crystal structure, and phase purity of the films were studied by varying the oxygen partial …


Multi-Objective Optimal Phasor Measurement Units Placement In Power Systems, Vahidhossein Khiabani Jan 2014

Multi-Objective Optimal Phasor Measurement Units Placement In Power Systems, Vahidhossein Khiabani

Industrial and Manufacturing Engineering

The extensive development of power networks has increased the requirements for robust, reliable and secure monitoring and control techniques based on the concept of Wide Area Measurement System (WAMS). Phasor Measurement Units (PMUs) are key elements in WAMS based operations of power systems. Most existing algorithms consider the problem of optimal PMU placement where the main objective is to ensure observability. They consider cost and observability of buses ignoring the reliability aspect of both WAMS and PMUs. Given the twin and conflicting objectives of cost and reliability, this dissertation aims to model and solve a multi-objective optimization formulation that maintains …


Neural Redoubt, Leah Fagerland Jan 2014

Neural Redoubt, Leah Fagerland

Architecture Theses

Increased numbers of returning service members from Operation Iraqi Freedom and Operation Enduring Freedom (OIF/OEF) coincide with budgetary sequestration measures which directly impact the Department of Defense, jeopardizing available care for active duty service members and veterans. It is understood that well-integrated passive design techniques as well as the introduction of natural elements to the medical environment encourage positive physiological responses in patients. This thesis seeks to determine the manner in which satisfactory design quality may be maintained, while energy performance and budgetary constraints may be successfully accommodated.


Student Achievement And French Sentence Repetition Test Scores, Deryle W. Lonsdale, Benjamin J. Millard Jan 2014

Student Achievement And French Sentence Repetition Test Scores, Deryle W. Lonsdale, Benjamin J. Millard

Faculty Publications

Sentence repetition (SR) tests are one way of probing a language learner’s oral proficiency. Test-takers listen to a set of carefully engineered sentences of varying complexity one-by-one, and then try to repeat them back as exactly as possible. In this paper we explore how well an SR test that we have developed for French corresponds with the test-taker’s achievement levels, represented by proficiency interview scores and by college class enrollment. We describe how we developed our SR test items using various language resources, and present pertinent facts about the test administration. The responses were scored by humans and also by …


Evaluating Lemmatization Models For Machine-Assisted Corpus-Dictionary Linkage, Deryle W. Lonsdale, Kevin Black, Eric K. Ringger, Paul Felt, Kevin Seppi, Kristian Heal Jan 2014

Evaluating Lemmatization Models For Machine-Assisted Corpus-Dictionary Linkage, Deryle W. Lonsdale, Kevin Black, Eric K. Ringger, Paul Felt, Kevin Seppi, Kristian Heal

Faculty Publications

The task of corpus-dictionary linkage (CDL) is to annotate each word in a corpus with a link to an appropriate dictionary entry that documents the sense and usage of the word. Corpus-dictionary linked resources include concordances, dictionaries with word usage examples, and corpora annotated with lemmas or word senses. Such CDL resources are essential for many tasks including assisting language learners, linguistic research, philology, and translation. Lemmatization is a common approximation to automating corpus-dictionary linkage, where lemmas stand in for the headwords of an actual dictionary. In our machine-assisted CDL system design, data-driven lemmatization models provide machine assistance to human …


The Use Of Sediment Removal To Reduce Phosphorus Levels In Wetland Soils And The Distribution Of Plant-Available Phosphorus In Wetland Soils And Its Potential Use As A Metric In Wetland Assessment Methods, Skye Gabel Jan 2014

The Use Of Sediment Removal To Reduce Phosphorus Levels In Wetland Soils And The Distribution Of Plant-Available Phosphorus In Wetland Soils And Its Potential Use As A Metric In Wetland Assessment Methods, Skye Gabel

Soil Science

Plant-available phosphorus (P) in wetland soils and its relationship with wetland communities and condition is somewhat unknown in the Prairie Pothole Region (PPR) in North America. Research objectives were to determine if 1) sediment removal reduced P in seasonal wetlands; 2) P could be used as an indicator in wetland condition assessments; 3) a gradient in P amount and wetland elevation existed; and 4) differences of sampling and extraction methods change Olsen P results as a metric in assessments. Soil samples from North Dakota wetlands were collected from two depths (0-15 and 15-30 cm) and analyzed for pH, electrical conductivity …


T-Optimal Designs For Model Discrimination In Probit Models, Yue Ming Jan 2014

T-Optimal Designs For Model Discrimination In Probit Models, Yue Ming

Statistics

When dose-response functions have a downturn, one interesting feature to study is the significance of the downturn. The interesting feature can be studied using model discrimination between two rival models (model describing dose-response functions with a downturn versus model describing only increasing part of the response functions). In this article, we study T-optimal designs that can best discriminate between these two rival models. Three different sets of model parameter values are considered to demonstrate various shapes of dose-response functions. Under the different sets of the parameter values, the T-optimal designs are obtained, and their performances are compared to two other …


Exploring Configurations Of Affordances: The Case Of Software Development, Aron Lindberg, James Gaskin, Nicholas Berente, Kalle Lyytinen Jan 2014

Exploring Configurations Of Affordances: The Case Of Software Development, Aron Lindberg, James Gaskin, Nicholas Berente, Kalle Lyytinen

Faculty Publications

Affordances have been increasingly used in the information systems literature to account for the usage and effects of information technology. However, a review of the literature shows that the construct has remained nebulously defined, rarely used in anything but singular forms and with little consideration of context. This has resulted in a lack of cumulative research on affordances. We propose that affordances need to be considered not only individually, but also as configurations of multiple affordances. Through a sociomaterial sequence analysis of two software development teams – one waterfall and one agile - we build a framework for the study …


Improving Password Cybersecurity Through Inexpensive And Minimally Invasive Means: Detecting And Deterring Password Reuse Through Keystroke-Dynamics Monitoring And Just-In-Time Fear Appeals, Jeffrey L. Jenkins, Mark Grimes, Jeffrey Gainer Proudfoot, Paul Benjamin Lowry Jan 2014

Improving Password Cybersecurity Through Inexpensive And Minimally Invasive Means: Detecting And Deterring Password Reuse Through Keystroke-Dynamics Monitoring And Just-In-Time Fear Appeals, Jeffrey L. Jenkins, Mark Grimes, Jeffrey Gainer Proudfoot, Paul Benjamin Lowry

Faculty Publications

Password reuse – using the same password for multiple accounts – is a prevalent phenomenon that can make even the most secure systems vulnerable. When passwords are reused across multiple systems, hackers may compromise accounts by stealing passwords from lowsecurity sites to access sites with higher security. Password reuse can be particularly threatening to users in developing countries in which cybersecurity training is limited, law enforcement of cybersecurity is non-existent, or in which programs to secure cyberspace are limited. This article proposes a two-pronged solution for reducing password reuse through detection and mitigation. First, based on the theories of routine, …


Stories From The Workplace: Using Mini-Modules Online To Increase Student Motivation And Learning, Jon Balzotti, Janet Roberts Jan 2014

Stories From The Workplace: Using Mini-Modules Online To Increase Student Motivation And Learning, Jon Balzotti, Janet Roberts

Faculty Publications

In this article, we describe the incorporation of video modules into three professional communication classrooms. These modules were designed to give both teachers and students access to professional practitioners and their views about the changing role of communication in the 21st century workplace. We incorporated these modules into professional communication courses (junior/senior level technical communication course) and courses in the disciplines (freshman and senior engineering design courses). The article discusses how content designed to simulate the language conventions of friendly conversation can impact student motivation and foster greater participation in the professional communication classroom.