Computer Science: Recent submissions
Now showing items 181-200 of 409
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Sentiment Analysis of Global Warming Using Twitter Data
(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 ... -
Systematic Approaches to Improve Test Case Prioritization Using Requirements and Risks
(North Dakota State University, 2016)The use of system requirements and their risks enables software testers to identify more important test cases that can reveal faults associated with risky components. Having identified important test cases, software testers ... -
Understanding Human Errors to Improve Requirements Quality
(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 ... -
Effect of Prompting Techniques and Learning Styles on Requirements Elicitation
(North Dakota State University, 2016)Research efforts on improving requirements elicitation are focused on developing and validating better techniques for eliciting a comprehensive set of requirements. However, there isn't enough empirical evidence available ... -
Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge
(North Dakota State University, 2016)The problem of inferring novel knowledge from implicit facts by logically connecting independent fragments of literature is known as Literature Based Discovery (LBD). In LBD, to discover hidden links, it is important to ... -
Mining Interesting Subnetworks from Graphs with Node Attributes
(North Dakota State University, 2018)A lot of complex data in many scientific domains such as social networks, computational biology and internet of things (IoT) is represented using graphs. With the global expansion of internet, social networks had an explosive ... -
Classification of LiDar Data Using Window-Based Techniques
(North Dakota State University, 2016)Given LiDAR maps, we focus on identifying anthropologically relevant ditches automatically on the map. Archeologists can identify these features visually at the site, but approaches based on remotely sensed data would be ... -
Quantifying Relationships Between Two Time Series Data Sets
(North Dakota State University, 2016)One of the popular methods for quantifying the relationship between two time series data sets is canonical correlations; however, it is linear and cannot accommodate more complex scenarios, such as time series data for ... -
Classifying Gene Coexpression Networks Using Discrimination Pattern Mining
(North Dakota State University, 2016)Several algorithms for graph classi cation have been proposed. Algorithms that map graphs into feature vectors encoding the presence/absence of speci c subgraphs, have shown excellent performance. Most of the existing ... -
Analyzing Access Logs Data using Stream Based Architecture
(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 ... -
A General Framework for Developing Multi-Surface Environments
(North Dakota State University, 2016)Since multi-touch technique has been used widely for personal device, such as smartphone, personal computer and tabletop, many forms of interaction are developed and served for user’s daily usage. But forms of interaction ... -
An Automated Approach for Discovering Functional Risk-Inducing Flaws in Software Designs
(North Dakota State University, 2015)For safety critical applications, it is necessary to ensure that risk-inducing flaws do not exist in the final product. To date, many risk-based testing techniques were proposed. The majority of these techniques address ... -
Sliding Window Based Technique to Obtain Correlation Between Field Variables
(North Dakota State University, 2015)In agriculture, finding correlation between field variables such as yield, NDVI, etc. is a classic problem. The most popular solution for finding correlation is to use regression analysis over complete field. In a field, ... -
Increasing Usability and Accessibility of GIS Technology Through Extension of Existing Software Tools
(North Dakota State University, 2015)As the popularity of Geographic Information System (GIS) technology increases and its use extends from specialized users to the general public, tools available to users must adapt to take these changes into account. Virtual ... -
A Data Mining Approach for Identifying Pavement Distress Signatures
(North Dakota State University, 2015)This work introduces signature-based data mining of pavement distress data. The goal is to understand the factors that influence pavement distress. The presented approach maintains multiple types of flexible pavement ... -
Immune Network Optimization of Composite SaaS for Cloud Computing
(North Dakota State University, 2015)Serving the needs efficiently for a wide gamut of cloud users is a challenge. One way to address this challenge is to decompose SaaS (Software as a Service) into application components and then consider them as loosely ... -
Domain Ontology Based Detection Approach to Identify Effect Types of Security Requirements upon Functional Requirements
(North Dakota State University, 2015)Requirements engineering is a subfield of software engineering that is concerned with analyzing software requirements specifications. An important process of requirement engineering is tracing requirements to investigate ... -
The Fusion of Ultrasonic and Spatially Aware System in Mobile - Interaction Device
(North Dakota State University, 2016)Over the past four decades, the prophecy from computer pundits and prognosticators pointed that looming arrival of the paperless office era was coming. However, forty years later, physical paper documents are still playing ... -
Multi-Variate Attribute Selection for Agricultural Data
(North Dakota State University, 2015)Farmers always have been concerned about the quantity of crops (yield) as well as the quality of crops (sugar content of the sugar beets). The quality and quantity of crops are affected by various attributes, some are ... -
Particle Swarm Optimization and Particle Filter Applied to Object Tracking
(North Dakota State University, 2016)The particle filter is usually used as a tracking algorithm in non-linear under the Bayesian tracking framework. However, the problems of degeneracy and impoverishment degrade its performance. The particle filter is ...