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2014

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Adapting Web Page Tables On Mobile Web Browsers: Results From Two Controlled Empirical Studies, Ramakanth Reddy Annadi Jan 2014

Adapting Web Page Tables On Mobile Web Browsers: Results From Two Controlled Empirical Studies, Ramakanth Reddy Annadi

Computer Science

Displaying web page content in mobile screens is a challenging task and users often face difficulty retrieving the relevant data. It can force them to adopt a time-consuming hunt-and-peck strategy. Application of design principles can improve the view of the webpage data content and reduce the time consumption in viewing it. This is especially true with HTML tabular data content. This thesis discusses the background and applications of the gestalt design principle techniques to HTML tabular data content. An empirical study was performed to investigate the usability of two types of the adaptive styles namely, single and multi-layout. This thesis …

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A Linguistic Model For Improving Sentiment Analysis Systems, Jared Coleman Hall Jan 2014

A Linguistic Model For Improving Sentiment Analysis Systems, Jared Coleman Hall

Computer Science

The value of automated sentiment analysis systems is increasing with the vast amount of consumer-generated content, allowing researchers to analyze the information readily available on the World Wide Web. Much research has been done in the field of sentiment analysis, which has improved the accuracy of sentiment analysis systems. But sentiment analysis is a challenging problem, and there are many potential areas for improvement. In this thesis, we analyze two linguistic rules, and propose algorithms for these rules to be applied in sentiment analysis systems. The first rule is regarding how a sentiment analysis system can recognize and apply the …

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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.

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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 …

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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, …

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Sensing A Sensor: Identifying The Mechanosensory Function Of Primary Cilia, Rahul M. Prasad, Xingjian Jin, Surya M. Nauli Jan 2014

Sensing A Sensor: Identifying The Mechanosensory Function Of Primary Cilia, Rahul M. Prasad, Xingjian Jin, Surya M. Nauli

Pharmacy Faculty Articles and Research

Over the past decade, primary cilia have emerged as the premier means by which cells sense and transduce mechanical stimuli. Primary cilia are sensory organelles that have been shown to be vitally involved in the mechanosensation of urine in the renal nephron, bile in the hepatic biliary system, digestive fluid in the pancreatic duct, dentin in dental pulp, lacunocanalicular fluid in bone and cartilage, and blood in vasculature. The prevalence of primary cilia among mammalian cell types is matched by the tremendously varied disease states caused by both structural and functional defects in cilia. In the process of delineating the …

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Project Quality Tool: A Tool For Project Success, Pallavi Srichinta Jan 2014

Project Quality Tool: A Tool For Project Success, Pallavi Srichinta

Computer Science

This paper proposes a solution to the current changing requirements communication problem in an offshore on-site software development model. The proposed model is a web-based tool where the user in a project team can enter the new Requirements, map them to Design, create Test Cases from design, Execute them, and track failed ones by creating Defects. When the requirements change the existing tools available in the market, the changes are not communicated to the entire project team; leaving the Quality Assurance team verifying old (incomplete) requirements which ultimately costs more time, money and delays the project delivery. In this paper, …

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Implementation Of A Medical Decision Making Tool, Sudheer Gadiparthi Jan 2014

Implementation Of A Medical Decision Making Tool, Sudheer Gadiparthi

Computer Science

Nowadays timely medical assistance is necessary for physicians/medical practitioners for decision making. Sometimes it is necessary for physicians to make decisions to diagnose the disease of a patient promptly. ‘Implementation of a Medical Decision Making Tool’, is a software tool was developed by implementing and incorporating efficient data mining techniques. In this project, with the help of WEKA software, which is a collection of classification algorithms for data analysis and feature selection, the decision making tool was implemented for the data preprocessing and classification on collected data sets of patients. Dataset for three kinds of diseases, heart disease, dermatology, and …

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Investigating The Defect Patterns During The Software Development Projects, Abhaya Poudyal Jan 2014

Investigating The Defect Patterns During The Software Development Projects, Abhaya Poudyal

Computer Science

With the growing software industry and our dependency on complex software applications, it is vital that the software is free of faults. The objective of my study is to, identify and classify the most common type of defects that are committed during the course of a software development project in a real industrial setting. The defects data are collected from two live projects and are categorized into 4 different categories as per the nature of the faults. The data has then been analyzed to see which defect categories are committed most during the software development life cycle. The result from …

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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 …

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Historical Analysis And Estimation Tool For Energy Trading, Sharath Chandra Sambaraju Jan 2014

Historical Analysis And Estimation Tool For Energy Trading, Sharath Chandra Sambaraju

Computer Science

Many forms of commodities are traded in today’s financial world, the most commonly used commodity, ‘Electricity’, is no exception. Electricity is mostly traded on a day to day basis, where the buyers and suppliers agree on a fixed price for electricity to be generated and dispatched. These allow the markets to adjust themselves to efficient pricing based on the simple supply and demand principle. The objective of this paper is to understand the day ahead market data and collecting historical market data and storing in to a RDBMS database, and design and program a windows-based application using C# programming language, …

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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 …

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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 …

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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 …

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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 …

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Characterisation Of The Porous Structure Of Gilsocarbon Graphite Using Pycnometry, Cyclic Porosimetry And Void-Network Modeling, Giuliano M. Laudone, Christopher M. Gribble, G. Peter Matthews Jan 2014

Characterisation Of The Porous Structure Of Gilsocarbon Graphite Using Pycnometry, Cyclic Porosimetry And Void-Network Modeling, Giuliano M. Laudone, Christopher M. Gribble, G. Peter Matthews

School of Geography, Earth and Environmental Sciences

The cores of the fourteen Advanced Gas-cooled nuclear Reactors (AGRs) within the UK comprise Gilsocarbon graphite, a manufactured material surrounded predominantly by CO2 at high pressure and temperature to provide heat exchange. The intense ionising radiation within the reactors causes radiolytic oxidation, and the resulting mass loss is a primary factor in determining reactor lifetime. The void structure of the porous Gilsocarbon graphite affects the permeability and diffusion of the carbon dioxide, and the sites of oxidation. To model this void structure, the porosities and densities of ten virgin Gilsocarbon graphite samples have been measured by powder and helium pycnometry. …

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Making Sense Of The Gren Economy, Federico Caprotti, Ian Bailey Jan 2014

Making Sense Of The Gren Economy, Federico Caprotti, Ian Bailey

School of Geography, Earth and Environmental Sciences

No abstract provided.

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The Green Economy: Functional Domains And Theoretical Directions Of Enquiry, Ian Bailey, Federico Caprotti Jan 2014

The Green Economy: Functional Domains And Theoretical Directions Of Enquiry, Ian Bailey, Federico Caprotti

School of Geography, Earth and Environmental Sciences

No abstract provided.

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Analyzing Student Learning Outcomes In Programming Course Using Individual Study Vs. Pair Programming, Keith Abeyratne Jan 2014

Analyzing Student Learning Outcomes In Programming Course Using Individual Study Vs. Pair Programming, Keith Abeyratne

Computer Science

Pair programming has been common practice in the programming industry during last three decades, but only recently did it start to draw the attention as a teaching strategy. This paper investigates whether we should introduce pair programming at the beginning of the semester, instead later in the semester. To perform this investigation, we performed a control group empirical study wherein pair programming was used in the first half of the semester (in one section of introductory CS course). The control group (the other section of the same course) introduced pair programming in the second half of the semester. This study …

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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 …

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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 …

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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 …

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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 …

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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 …

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Protein-Function Prediction Using A Graph-Matching Algorithm, Sarjan Shrestha Jan 2014

Protein-Function Prediction Using A Graph-Matching Algorithm, Sarjan Shrestha

Computer Science

Proteins are the basic building blocks for biological life. Proteins interact with other proteins or molecules to carry out various functions. The active region in the protein molecule is the functional site. Today, most research work has been done to establish sequence-based, structure-based, and machine-learning approaches for prediction of protein’s functional site. This paper describes a tool for identifying the functional site of protein using a graph-based approach. Each protein structure is represented as a graph. Each protein residue represents a vertex, and the relationship between residues represents the edges of the graph. The tool compares proteins to identify the …

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Mapreduce-Enabled Scalable Nature-Inspired Approaches For Clustering, Ibrahim Mithgal Aljarah Jan 2014

Mapreduce-Enabled Scalable Nature-Inspired Approaches For Clustering, Ibrahim Mithgal Aljarah

Computer Science

The increasing volume of data to be analyzed imposes new challenges to the data mining methodologies. Traditional data mining such as clustering methods do not scale well with larger data sizes and are computationally expensive in terms of memory and time. Clustering large data sets has received attention in the last few years in several application areas such as document categorization, which is in urgent need of scalable approaches. Swarm intelligence algorithms have self-organizing features, which are used to share knowledge among swarm members to locate the best solution. These algorithms have been successfully applied to clustering, however, they suffer …

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Implementing Building Information Modeling (Bim) At Aec Firms In India, Aarti Nanajkar Jan 2014

Implementing Building Information Modeling (Bim) At Aec Firms In India, Aarti Nanajkar

Construction Management and Engineering

The Indian Architecture, Engineering, and Construction (AEC) industry is still at the very infancy stage with the adoption of Building Information Modeling (BIM) to improve the design, construction, and facility management of construction projects. Therefore, several issues about data acquisition and management arise during the design creation and development of a construction project due to the complexity, ambiguity, and fragmented nature of the Indian construction industry. This paper suggests a strategy for India’s AEC firms to successfully implement BIM in their current working processes. The research method involves studying the current state of BIM knowledge in the Indian construction industry …

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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 …

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Theatric Depth : The Theatre And The Public, Benjamin Atchison Jan 2014

Theatric Depth : The Theatre And The Public, Benjamin Atchison

Architecture Theses

My Thesis explores the way architecture can evoke a more meaningful relationship to the public realm. The project will attempt to reawaken a “space of participation” by challenging the changing understudy of public and private through the design of a theatre in downtown Detroit.

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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.

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