Recent Submissions

  • Performance Comparison of Apache Spark MLlib 

    Sharma, Pallavi (North Dakota State University, 2018)
    This study makes an attempt to understand the performance of Apache Spark and the MLlib platform. To this end, the cluster computing system of Apache Spark is set up and five supervised machine learning algorithms (Naïve-Bayes, ...
  • Multi-Style Web Content Restructuring for Efficient Mobile Web Browsing 

    Xia, Xiaojun; Xia, Xiaojun (North Dakota State University, 2011)
    Mobile devices such as smart phones, PDAs, and tablets are getting more and more popular every day. As a result, more people tend to use mobile devices to access Web contents. Therefore, mobile browsing becomes an important ...
  • Health Risk Prediction Using Big Medical Data - a Collaborative Filtering-Enhanced Deep Learning Approach 

    Li, Xin (North Dakota State University, 2018)
    Deep learning has yielded immense success on many different scenarios. With the success in other real world application, it has been applied into big medical data. However, discovering knowledge from these data can be very ...
  • Stock Price Prediction Using Recurrent Neural Networks 

    Jahan, Israt (North Dakota State University, 2018)
    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, ...
  • Investment Behavior Analysis Based on Tail Risk Management 

    Sun, Yu; Sun, Yu (North Dakota State University, 2018)
    As behavioral finance is becoming more prevalent in academic area, a study is worth conducting to pinpoint investors’ preference through managing tail risk of asset portfolios. This study investigates investors’ investment ...
  • Comparison between Symfony, ASP.NET MVC, And Node.js Express for Web Development 

    Mao, Xiaoli; Mao, Xiaoli (North Dakota State University, 2018)
    Web development technologies have been developing tremendously in recent years. While new technologies such as Node.js come with various frameworks, traditional technologies such as ASP.NET and PHP are also being used with ...
  • Agent Based Modeling for Simulation of Microbial Community 

    Tekeste, Noah Daniel; Tekeste, Noah Daniel (North Dakota State University, 2018)
    Agent based modeling uses interacting agents and a governing rule to understand a complex phenomenon. It is an important mode of inquiry in the field of life sciences. For this paper a Haploid Evolutionary Constructor (HEC) ...
  • Sentiment Analysis of Global Warming Using Twitter Data 

    Mucha, Nithisha; Mucha, Nithisha (North Dakota State University, 2018)
    Global warming or climate change is one of the most discussed topics of the decade. Some people think global warming is a severe threat to the planet whereas some people think, it is a hoax. The goal of this paper is to ...
  • Robust D-Optimal Design for Multiple Nominal Parameter Values under the 5PL-1P Model 

    Liang, Cuiping; Liang, Cuiping (North Dakota State University, 2018)
    A robust D-optimal design that works well for multiple nominal parameter values is presented in this paper. In general, D-optimal design works very well for estimating the model parameters, but it is very sensitive to ...
  • Exploring Associations between Lifestyles and Metabolic Syndrome in Middle-Age Chinese Population 

    Zhou, Xiaoyi; Zhou, Xiaoyi (North Dakota State University, 2018)
    Nowadays the prevalence of Metabolic Syndrome (MetS) affects many middle-age people in China. MetS is associated with the risk of type 2 diabetes and cardiovascular disease. Identifying the potential risk factors contribute ...
  • Understanding Students’ Perceptions of Difficulty and the Effect Difficulty Has on Mathematical Anxiety 

    Larson, Caleb Bridger; Larson, Caleb Bridger (North Dakota State University, 2018)
    There exists a growing atmosphere surrounding mathematics that allows individuals to exclaim their belief they are deficient in math without any societal judgement. Compared to a state like being illiterate, we have reached ...
  • Understanding Human Errors to Improve Requirements Quality 

    Manjunath, Kavitha; Manjunath, Kavitha (North Dakota State University, 2018)
    Requirements engineering is the first and perhaps the most important phase of software life cycle. Software faults committed during the requirements development, if left undetected can affect downstream activities. While ...
  • Analyzing Access Logs Data using Stream Based Architecture 

    Gautam, Nitendra; Gautam, Nitendra (North Dakota State University, 2018)
    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 ...
  • Using Message Queuing to Drive Polyglot Identity and Access Management Development 

    Frovarp, Richard Ernest Orvin; Frovarp, Richard Ernest Orvin (North Dakota State University, 2017)
    This paper describes a method of using an Advanced Message Queuing Protocol (AMQP) broker, RabbitMQ in particular, to facilitate the management of accounts across a variety of systems. Higher education poses a unique ...
  • Implementation of Weighted Centroid Neural Network for Edge Preserving Image Compression 

    Depa, Amarender Reddy; Depa, Amarender Reddy (North Dakota State University, 2017)
    Image compression is a type of data compression applied to images. The objective of image compression is to reduce the cost for storage or transmission. Image compression is associated with removing redundant information ...
  • A Java Class Analysis Program Development By ASM Library 

    Qiu, Chengxiang; Qiu, Chengxiang (North Dakota State University, 2017)
    Class analysis is useful technique that can be used in many situations, from the syntaxes parsing, potential bugs finding, and unused code detecting to reverse engineer coding. In this paper, I write a small program classasm ...
  • Classification Algorithms Applied to a Brain Computer Interface System Based On P300 

    Gaur, Himanshu; Gaur, Himanshu (North Dakota State University, 2017)
    A BCI or Brain Computer Interface is defined as a method of communication that converts neural activities generated by brain of living being (without the use of peripheral muscles and nerves) into computer commands or other ...
  • The Insurance Manager - Mobile Application 

    Sharma, Aditi; Sharma, Aditi (North Dakota State University, 2017)
    People buy several expensive products with the insurance whether it is a Camera, Phone, Television etc. Insurance usually comes with an end date and other important information like: Product Name, Vendor Name, Price of the ...
  • Perception about GMOs between the USA and Europe through Twitter 

    Chang, Feng; Chang, Feng (North Dakota State University, 2017)
    Twitter is one of the most popular social networking and microblogging services in the internet world. By the end of Jan 24, 2017, there were at least 100 million active users daily around the world. Due to such a huge ...
  • Finding Hidden Relationships between Medical Concepts by Leveraging Metamap and Text Mining Techniques 

    Yang, Weikang; Yang, Weikang (North Dakota State University, 2017)
    A lot of efforts have been made in order to make new discoveries in the biomedical filed. However, those valuable information may be hidden in text without applying appropriate text mining techniques. In this paper, I ...

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