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

Digital Commons Network™

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

2018

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 36631 - 36660 of 37742

Full-Text Articles in Entire DC Network

A Circle-Geocaching Game Based On Classified Specimens, Prabhakara Reddy Agasaladinni Reddy Jan 2018

A Circle-Geocaching Game Based On Classified Specimens, Prabhakara Reddy Agasaladinni Reddy

Computer Science

This paper describes a CIRCLE-Geocaching extensible system played for the purpose of rehearsal learning. The system operates over a classification tree built by an instructor or a group of students engaged in classification, identification and learning of real world objects. Geocaching involves gathering specimens, naming specimens, recording GPS coordinates, and performing experiments on each specimen. It is assumed that student motivation is increased, as it is an outdoor activity to locate specimens using coordinates, allowing students to learn about features during game play. Implementation of this game draws on the Model, View and Template architecture (MVT). Client software is a …

Go to article

Analyzing Access Logs Data Using Stream Based Architecture, Nitendra Gautam Jan 2018

Analyzing Access Logs Data Using Stream Based Architecture, Nitendra Gautam

Computer Science

Within the past decades, the enterprise-level IT infrastructure in many businesses have grown from a few to thousands of servers, increasing the digital footprints they produce. These digital footprints include access logs that contain information about different events such as activity related to usage patterns, networks and any hostile activity affecting the network. Apache Hadoop has been one of the most standardized frameworks and is used by many Information Technology (IT) companies for analyzing these log files in distributed batch mode using MapReduce programming model. As these access logs include important information related to security and usage patterns, companies are …

Go to article

In Memory Computation Of Glowworm Swarm Optimization Applied To Multimodal Functions Using Apache Spark, Goutham Miryala Jan 2018

In Memory Computation Of Glowworm Swarm Optimization Applied To Multimodal Functions Using Apache Spark, Goutham Miryala

Computer Science

Glowworm Swarm Optimization (GSO) is one of the optimization techniques, which need to be parallelized in order to evaluate large problems with high-dimensional function spaces. There are various issues involved in the parallelization of any algorithm such as efficient communication among nodes in a cluster, load balancing, automatic node failure recovery, and scalability of nodes at runtime. In this paper, we have implemented the GSO algorithm with the Apache Spark framework. The Spark framework is designed in such a way that one does not need to deal with any parallelization details except the logic of the algorithm itself. For the …

Go to article

Stock Price Prediction Using Recurrent Neural Networks, Israt Jahan Jan 2018

Stock Price Prediction Using Recurrent Neural Networks, Israt Jahan

Computer Science

The stock market is generally very unpredictable in nature. There are many factors that might be responsible to determine the price of a particular stock such as the market trend, supply and demand ratio, global economy, public sentiments, sensitive financial information, earning declaration, historical price and many more. These factors explain the challenge of accurate prediction. But, with the help of new technologies like data mining and machine learning, we can analyze big data and develop an accurate prediction model that avoids some human errors. In this work, the closing prices of specific stocks are predicted from sample data using …

Go to article

Blood Glucose Prediction Models For Personalized Diabetes Management, Warnakulasuriya Chandima Fernando Jan 2018

Blood Glucose Prediction Models For Personalized Diabetes Management, Warnakulasuriya Chandima Fernando

Computer Science

Effective blood glucose (BG) control is essential for patients with diabetes. This calls for an immediate need to closely keep track of patients' BG level all the time. However, sometimes individual patients may not be able to monitor their BG level regularly due to all kinds of real-life interference. To address this issue, in this paper we propose machine-learning based prediction models that can automatically predict patients BG level based on their historical data and known current status. We take two approaches, one for predicting BG level only using individual's data and second is to use a population data. Our …

Go to article

Using Human Error Models To Improve The Quality Of Software Requirements, Vaibhav Kumar Anu Jan 2018

Using Human Error Models To Improve The Quality Of Software Requirements, Vaibhav Kumar Anu

Computer Science

Creating high quality software is a primary concern for software development organizations. Researchers have devoted considerable effort in developing quality improvement methods that help software engineers detect faults early in the development lifecycle (when the faults are cheapest to detect and repair). While useful, the available approaches still cannot make sure that Software developers are able to identify all or even a significantly large portion of faults. This is because they do not help software developers identify errors (i.e., underlying cause of faults) that may have led to the insertion of the faults (i.e., manifestation of error). This lack of …

Go to article

Scalable Algorithms For Mining Maximal Quasi Frequent Subnetworks, Eihab Salah El Radie Jan 2018

Scalable Algorithms For Mining Maximal Quasi Frequent Subnetworks, Eihab Salah El Radie

Computer Science

Frequent graph mining has received considerable attention from researchers. Existing algorithms for frequent subgraph mining do not scale for large networks, and take hours to finish. Mining multiple gene coexpressions networks allows for identifying context-specific modules. Frequent subnetworks represent essential biological modules. In this thesis, we propose two algorithms for mining frequent subgraphs. In the first algorithm, we propose a parallel algorithm for mining maximal frequent subgraphs from gene coexpression networks. Despite the algorithm’s parallelization, it takes much time and it does not allow relaxation. This inspired us to develop a second algorithm that solves those problems. In the second …

Go to article

Portland Limestone Cement With Fly Ash: Freeze-Thaw Durability And Microstructure Studies, Prokshit Angadi Jan 2018

Portland Limestone Cement With Fly Ash: Freeze-Thaw Durability And Microstructure Studies, Prokshit Angadi

Construction Management and Engineering

In this study, the freeze-thaw performance and other engineering properties of different cementitious mixtures containing Type I/II portland cement, Type IL (10) portland Limestone cement (PLC) and Coarse Ground cement (CG-P) with or without partial replacement of fly ash (Class F) were examined. The goal was to develop a concrete mixture with better or similar freeze-thaw durability without adversely affecting other engineering properties of concrete. Crucial engineering properties reviewed include compressive strength, splitting tensile strength, workability, the degree of hydration, setting time, shrinkage and resistivity. The study was divided into two parts, one consisting of mechanical testing of engineering properties …

Go to article

Acknowledging The Tides Through The Renewable Energy Of The Moon, Drew Wolf Jan 2018

Acknowledging The Tides Through The Renewable Energy Of The Moon, Drew Wolf

Architecture Theses

A restructure of energy generation and architectures ability to transform power plants into a beacon of culture. This project seeks to reawaken a lost perspective of nature through the acknowledgment of the entwined relationship between our planet and the cosmic forces through the creation of a Tidal Lagoon in Seattle, Washington.

Go to article

Interplanetary Habitation: Designing For Life On Mars, Landon Schoeneck Jan 2018

Interplanetary Habitation: Designing For Life On Mars, Landon Schoeneck

Architecture Theses

How can architecture adapt the complex engineering systems of a Mars colony to sustainable human life? Migration and travel has evolved from the dawn of humanity to the automotive and flight industries of current times. Now interplanetary travel is on the forefront of technological innovation. Innovation is created by those who dream farther forward than current society can understand, and it is necessary to push the boundaries of technology to make the impossible practical. thinking ahead to design for future interplanetary migration is a needed step to compel the world forward, as well as architecture and it’s boundaries therein. The …

Go to article

Relocated Roots: A Community Focused Urban Agriculture Facility, Alexandra Mills Jan 2018

Relocated Roots: A Community Focused Urban Agriculture Facility, Alexandra Mills

Architecture Theses

The design of 407 New Street seeks to introduce the agricultural sector into the urban environment. By integrating agriculture into the city context, the project aims to introduce a new typological identity to the neighborhood and revitalize the community. This thesis project, titled “Relocated Roots,” addresses a limitation in current thinking about agriculture within the urban environment. It aims to expand the public knowledge by providing an educated architectural experience that both informs the user of modern growing techniques and positively promotes the message of sustainable city farming.

Go to article

Theater Of Community: Enabling A Vibrant And Interconnected Community Through Careful Preservation Of An Architectural Monument, Nick Saddler Jan 2018

Theater Of Community: Enabling A Vibrant And Interconnected Community Through Careful Preservation Of An Architectural Monument, Nick Saddler

Architecture Theses

In his book The Creative City, urbanist Charles Landry speaks at length about hard and soft infrastructure in cities. Hard infrastructure referring to the built environment and the functions that support it and soft infrastructure referring to the less tangible quality of social life and vibrancy of culture in the city. One of the biggest struggles facing growing cities is how to establish quality soft infrastructure as people flock back to urban centers. Along with this comes the responsibility of how to elegantly and appropriately address the neglected, crumbling, or just otherwise underappreciated historical buildings in city centers. The redevelopment …

Go to article

On The Profitability Of Uas-Based Ndvi Imagery For Variable Rate Nitrogen Prescriptions In Corn And Wheat In North Dakota, Christopher Joseph Duchsherer Jan 2018

On The Profitability Of Uas-Based Ndvi Imagery For Variable Rate Nitrogen Prescriptions In Corn And Wheat In North Dakota, Christopher Joseph Duchsherer

Agribusiness and Applied Economics

This study examines the grower’s decision to invest in precision agriculture technologies especially in-season variable rate nitrogen applications based on NDVI data collected from UAVs. NDVI, yield, soil, and other field data were collected from multiple corn and wheat fields located throughout North Dakota. Each field was divided into management zones to determine profitability of utilizing the technology based on in-season nitrogen applications for the grower’s field practice, high, low, and no applications. Results show that using the NDVI data collected from UAVs can be profitable when the grower decides to make the decision to apply nitrogen in a sidedress …

Go to article

The Effects Of Injectable Trace Mineral Supplements In Donor Cows At The Initiation Of A Superovulation Protocol On Embryo Outcomes And Pregnancy Rates In Recipient Females, Felipe Silva Jan 2018

The Effects Of Injectable Trace Mineral Supplements In Donor Cows At The Initiation Of A Superovulation Protocol On Embryo Outcomes And Pregnancy Rates In Recipient Females, Felipe Silva

Animal Sciences

Concentrations of trace minerals within the body are known to impact reproductive processes. Thus, the current study analyzed the effects of using an injectable trace mineral supplement containing selenium, zinc, copper, and manganese during a superovulation protocol on embryo outcomes in donor beef cows and further effects on pregnancy rate in recipient females. We hypothesized that an injectable trace mineral (TM) supplement provided to cows fed to meet known nutrient requirements would increase TM status and influence superovulation, embryo characteristics, and enhance pregnancy rates. Our findings indicate that the injectable TM increased concentration of Se within the liver. However, superovulatory …

Go to article

Gauging Categories Of Municipal Water Use Spatially Across North Dakota In Different Size Municipalities, Nicole Ellingson Jan 2018

Gauging Categories Of Municipal Water Use Spatially Across North Dakota In Different Size Municipalities, Nicole Ellingson

Natural Resources Management

Little is known about municipal water use in the state of North Dakota. Typically, the only water use information reported to the North Dakota State Water Commission is the amount of water withdrawn as part of a municipal water permit. The goal of this study was to expand current knowledge on municipal water use in the state. Two questionnaires were developed and administered to all cities with populations greater than 1,000 residents that were willing to participate. Questions focused on who is in charge of water-use data, how the data are recorded and stored, and if municipalities try to conserve …

Go to article

A Comparison Of Traditional And Adaptive Comparative Judgment Assessment Techniques For Freshmen Engineering Design Projects, Scott R. Bartholomew, Greg J. Strimel, Andrew Jackson Jan 2018

A Comparison Of Traditional And Adaptive Comparative Judgment Assessment Techniques For Freshmen Engineering Design Projects, Scott R. Bartholomew, Greg J. Strimel, Andrew Jackson

Faculty Publications

This article examines the use of an alternative form of assessment for engineering design projects called adaptive comparative judgment (ACJ). The researchers employed an ACJ tool to evaluate undergraduate engineering student design projects in an effort to examine its’ reliability, validity, and utility in comparison with traditional assessment techniques. The ACJ process employed multiple judges to compare the design artifacts of 16 first-year engineering majors. The authors conducted an analysis of the reliability and validity of the ACJ method compared to the traditional rubric used to evaluate the project and the performance data of each student’s design prototype. For these …

Go to article

Study On The Relationship Between Process Plan And Resource Requirement In Additive Manufacturing, Amm Nazmul Ahsan Jan 2018

Study On The Relationship Between Process Plan And Resource Requirement In Additive Manufacturing, Amm Nazmul Ahsan

Industrial and Manufacturing Engineering

Resource consumption in additive manufacturing (AM) is often tied with the physical attribute of the fabricated part. Thus, optimizing the processes plan for minimum part fabrication resource requirement is a matter of great interest. In this thesis, the hierarchical nature of the AM process plan steps are emphasized and both build direction and material deposition direction are optimized while considering the resource requirement. A novel combined two-step optimization methodology is presented to determine optimal build direction for the object and material deposition direction for layers while considering minimum contour plurality, surface quality, build height, fabrication factor, and layer contour concavity …

Go to article

Analysis And Identification Of Qtl For Resistance To Sclerotinia Sclerotiorum In Pea (Pisum Sativum L.), Rahil Ashtari Mahini Jan 2018

Analysis And Identification Of Qtl For Resistance To Sclerotinia Sclerotiorum In Pea (Pisum Sativum L.), Rahil Ashtari Mahini

Plant Sciences

White mold caused by Sclerotinia sclerotiorumi s one of the most devastating diseases infecting field pea (Pisum sativum L.) which causes severe yield loss worldwide. Population 17 (Lifter/ PI240515), and Population 19 (PI169603/ Medora) were developed by single seed descent and screened by greenhouse evaluation and detached stem assay to identify potential sources of white mold resistance. Twenty-two partial resistant inbred lines were identified with short internode which met at least two resistance criteria based on lesion expansion inhibition (LEI) and nodal transmission inhibition (NTI). To find SNPs (single nucleotide polymorphism) responsible for white mold resistance, Populations 17 and 19 …

Go to article

Effect Of Different Alumina Supports On Performance Of Cobalt Fischer-Tropsch Catalysts, Thomas H. Fletcher Jan 2018

Effect Of Different Alumina Supports On Performance Of Cobalt Fischer-Tropsch Catalysts, Thomas H. Fletcher

Faculty Publications

Four identically-prepared 20 wt% cobalt/0.15 wt% ruthenium Fischer-Tropsch catalysts, supported on different aluminas, were synthesized by incipient wetness impregnation, characterized, and compared based on their performance under standard Fischer-Tropsch synthesis conditions. Three alumina supports were obtained from commercial sources (Sasol, St. Gobain, and Alfa Aesar), while the fourth was made using a published technique that included 5 wt% silica. The silica-stabilized alumina catalyst produced superior Fischer-Tropsch rates of 49 mmol CO/gcat h, compared to the other catalysts on the commercial supports with rates of 26–39 mmol CO/gcat h. The improved performance of the silica-stabilized alumina support compared to the commercially …

Go to article

Polysyllabic Shortening In Speakers Exposed To Two Languages, Todd A. Gibson, Connie Summers Jan 2018

Polysyllabic Shortening In Speakers Exposed To Two Languages, Todd A. Gibson, Connie Summers

Faculty Publications

Polysyllabic shortening is used to maintain stress-timed rhythm in English, but used negligibly in Spanish. It is unknown how polysyllabic shortening is influenced when individuals are exposed to one language that employs it and one that does not. We calculated polysyllabic shortening for 35 functionally monolingual English-speaking adults and 19 relatively balanced Spanish–English bilingual peers who repeated English and Spanish nonwords. Results showed that speech motor patterns learned early in life might be sufficient to block cross-linguistic transfer of polysyllabic shortening despite limited language proficiency, and bilingual speakers appear to signal membership in the majority language by increasing polysyllabic shortening.

Go to article

Phosphorus Dynamics And Crop Productivity In Bakken Crude-Oil Remediated Soils, Samantha Jo Croat Jan 2018

Phosphorus Dynamics And Crop Productivity In Bakken Crude-Oil Remediated Soils, Samantha Jo Croat

Soil Science

Thermal desorption (TD), a remediation method used to remove hydrocarbons from contaminated soils, may cause changes in soil properties that threaten soil function and plant productivity. The goal of this research is to better understand the effect that TD treatment has on soils intended for agricultural use. A series of soil phosphorus (P) sorption and desorption experiments were conducted on soils before and after TD treatment to determine P availability for plant uptake and risk for run-off. TD-treated soils retained more P, likely due to mineral transformations of Fe- and Al-oxides. In addition, a three-year field study using mixtures of …

Go to article

Building A Predictive Model On State Of Good Repair By Machine Learning Algorithm On Public Transportation Rolling Stock, Dilip Mistry Jan 2018

Building A Predictive Model On State Of Good Repair By Machine Learning Algorithm On Public Transportation Rolling Stock, Dilip Mistry

Transportation Logistics and Finance

Achieving and maintaining public transportation rolling stocks in a state of good repair is very crucial to provide safe and reliable services to riders. Besides, transit agencies who seek federal grants must keep their transit assets in a state of good repair. Therefore, transit agencies need an intelligent predictive model for analyzing their transportation rolling stocks, finding out the current condition, and predicting when they need to be replaced or rehabilitated. Since many transit agencies do not have good analytical tools for predicting the service life of vehicles, this simple predictive model would be a valuable resource for their state …

Go to article

Examining The Impact And Influence Of The Leisure Science Literature, Mat D. Duerden, Michael B. Edwards, Michael C. Goates, Justin Dyer Jan 2018

Examining The Impact And Influence Of The Leisure Science Literature, Mat D. Duerden, Michael B. Edwards, Michael C. Goates, Justin Dyer

Faculty Publications

This study explored the impact and influence of the leisure sciences literature through an analysis of highly cited articles. Discriminant function analysis identified whether articles had more exclusive impact inside or outside the field. Research themes and methodologies were examined based on these classifications. Results indicate articles with the greatest impact within the leisure literature tended to be quantitative studies drawing upon survey data and non-experimental designs focused on general leisure and outdoor/forest recreation. Articles with the greatest impact outside the leisure literature were more recent and focused on place attachment, psychological motivation, or community parks and recreation and used …

Go to article

Creating A Realistic Experimental Scenario For Hci-Based Deception Detection Research With Ground Truth And Un- Sanctioned Malicious Acts, Michael D. Byrd, Jeffrey L. Jenkins, Joseph S. Valacich, Parker A. Williams Jan 2018

Creating A Realistic Experimental Scenario For Hci-Based Deception Detection Research With Ground Truth And Un- Sanctioned Malicious Acts, Michael D. Byrd, Jeffrey L. Jenkins, Joseph S. Valacich, Parker A. Williams

Faculty Publications

This research-in-progress note reports on the design and execution of a study in HCI-based deception detection. The objective of the study is to examine the impact of knowledge of tracking and countermeasures on the neuromotor changes detected when subjects commit a malfeasant act. To examine this, an experimental context and design was required that would afford the subjects an opportunity to commit an un-sanctioned malicious act while tracking ground truth in an unobtrusive manner. The experimental design, study execution, and preliminary results are presented.

Go to article

Ontological Deep Data Cleaning, Scott N. Woodfield, Spencer Seeger, Samuel Litster, Stephen W. Liddle, Brenden Grace, David W. Embley Jan 2018

Ontological Deep Data Cleaning, Scott N. Woodfield, Spencer Seeger, Samuel Litster, Stephen W. Liddle, Brenden Grace, David W. Embley

Faculty Publications

Analytical applications such as forensics, investigative journalism, and genealogy require deep data cleaning in which applicationdependent semantic errors and inconsistencies are detected and resolved. To facilitate deep data cleaning, the application is modeled ontologically, and real-world crisp and fuzzy constraints are specified. Conceptualmodel- based declarative specification enables rapid development and modification of the usually large number of constraints. Field tests show the prototype’s ability to detect errors and either resolve them or provide guidance for user-involved resolution. A user study also shows the value of declarative specification in deep data cleaning applications.

Go to article

Comparing The Effectiveness Of Scenario-Based Learning Vs. Traditional Training Method On An Individual’S Call Quality Score: A Case Study, Kritika Sharma Jan 2018

Comparing The Effectiveness Of Scenario-Based Learning Vs. Traditional Training Method On An Individual’S Call Quality Score: A Case Study, Kritika Sharma

Education

This study investigated the effect of Scenario-Based Learning versus the traditional training method used in customer service employee call quality scores. A secondary purpose was to see how Scenario-Based Training method would impact customer service representative’s perceptions of their learning environment. The research questions were generated and tested by interviews, examining the mean scores for call quality in the two methods of training and a t-test was also conducted to see if there was a significance difference between the call quality scores from the use of both training methods. The findings showed that altering the training method from traditional to …

Go to article

Sentiment Analysis On Twitter Data Using Different Algorithms, Monzuma Nazma Jan 2018

Sentiment Analysis On Twitter Data Using Different Algorithms, Monzuma Nazma

Computer Science

Sentiment analysis is the process of determining opinion expressed in a text, or an estimation of emotion related to the certain topic if it is negative, positive or neutral. The massive growth of social media, Twitter has played an important role since it allows people to express their feelings about a subject. Classification algorithms are necessary in the process of sentiment analysis. In this paper, we build a model to acquire people’s opinion on any concerning subject and evaluate the classification algorithms on the dataset. To accomplish the goal, we use a large set of Tweets which refer to a …

Go to article

Cement Changes And Their Effects On Shrinkage And Durability Of Concrete, Achintyamugdha Surendra Sharma Jan 2018

Cement Changes And Their Effects On Shrinkage And Durability Of Concrete, Achintyamugdha Surendra Sharma

Engineering

In this work, the effects of different cementitious combinations on drying shrinkage and durability of concrete are investigated. Shrinkage is caused due to loss of water from concrete due to evaporation. Cement paste is the most vulnerable part of concrete to shrinkage. As concrete consists of cement paste and aggregates, the latter pose as restraints to the shrinking paste. As a result, tensile stresses are formed thereby leading to the formation of cracks. Cracks in concrete are responsible for the ingress of deleterious chemical ions such as, Chloride and Sulfate ions, which may form expansive compounds. Chloride ions also induce …

Go to article

Computational Model For Behavior Shaping As An Adaptive Health Intervention Strategy, Vincent Berardi, Ricardo Carretero-González, Neil E. Klepeis, Sahar Ghanipoor Machiani, Arash Jahangiri, John Bellettiere, Melbourne Hovell Jan 2018

Computational Model For Behavior Shaping As An Adaptive Health Intervention Strategy, Vincent Berardi, Ricardo Carretero-González, Neil E. Klepeis, Sahar Ghanipoor Machiani, Arash Jahangiri, John Bellettiere, Melbourne Hovell

Psychology Faculty Articles and Research

Adaptive behavioral interventions that automatically adjust in real-time to participants’ changing behavior, environmental contexts, and individual history are becoming more feasible as the use of real-time sensing technology expands. This development is expected to improve shortcomings associated with traditional behavioral interventions, such as the reliance on imprecise intervention procedures and limited/short-lived effects. JITAI adaptation strategies often lack a theoretical foundation. Increasing the theoretical fidelity of a trial has been shown to increase effectiveness. This research explores the use of shaping, a well-known process from behavioral theory for engendering or maintaining a target behavior, as a JITAI adaptation strategy. A computational …

Go to article

Entropy, Order, And Agency: The Cognitive Basis Of The Link Between Agents And Order, Adena Schachner, Minju Kim Jan 2018

Entropy, Order, And Agency: The Cognitive Basis Of The Link Between Agents And Order, Adena Schachner, Minju Kim

Psychology Faculty Articles and Research

People often believe that orderly structures were created by agents. We examine the cognitive basis of this tendency, asking if learned associations or causal reasoning drives us to link order with agents. Causal reasoning predicts that knowledge of an alternative physical-mechanical cause should ‘explain away’ orderliness, weakening the link with agents. In a preregistered experiment, we manipulated the context to provide (or not provide) a physical-mechanical explanation for orderly outcomes, and participants judged if an object or agent had been present. We compared outcomes differing in (a)levels of orderliness and (b)whether context provided an alternative explanation. We found that environmental …

Go to article

First Prev Next Last