Browsing Computer Science Doctoral Work by Title
Now showing items 42-61 of 67
-
Scalable Particle Swarm Optimization and Differential Evolution Approaches Applied to Classification
(North Dakota State University, 2019)Applying the nature-inspired methods in the data mining area has been gaining more attention by researchers. Classification is one of the data mining tasks which aims to analyze historical data by discovering hidden ... -
A Secure and Reliable Interference-Aware Wireless Mesh Network Design
(North Dakota State University, 2012)A wireless mesh network (WMN) is a multihop wireless network consisting of a large number of wireless nodes of which some are called gateway nodes and connected with a wired network. Wireless mesh network have attracted ... -
Simulating Multi-Agent Decision Making for a Self Healing Smart Grid
(North Dakota State University, 2013)Dynamic real-time power systems like the national power grid operate in continuously changing environments such as adverse weather conditions, power line malfunctions, device failures, etc. These disruptions can lead to ... -
Software Engineering Methodologies in Developing a Railway Condition Monitoring System
(North Dakota State University, 2022)With the continuous growth of rail track geometry irregularities due to aging, environmental factors, and wheel loads, rail track requires frequent maintenance. Railroads often rely on the precise and correct localization ... -
Spatially Aware Computing for Natural Interaction
(North Dakota State University, 2013)Spatial information refers to the location of an object in a physical or digital world. Besides, it also includes the relative position of an object related to other objects around it. In this dissertation, three systems ... -
Stock Prediction Analyzing Investor Sentiments
(North Dakota State University, 2018)We are going through a phase of data evolution where a major portion of the data from our daily lives is now been stored on social media platforms. In recent years, social media has become ubiquitous and important for ... -
A Structural Metric Model to Predict the Complexity of Web Interfaces
(North Dakota State University, 2017)The complexity of web pages has been widely investigated. Many experimental studies used several metrics to measure certain aspects of the users, tasks or GUIs. In this research, we focusing on the visual structure of web ... -
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 ... -
Towards Better Engineering of Enterprise Resource Planning Systems
(North Dakota State University, 2016)In spite of their high implementation failure rate, Enterprise Resource Planning (ERP) software remains a popular choice for most businesses. When it succeeds, ERP software provides effective integration of formerly isolated ... -
Towards Change Propagating Test Models In Autonomic and Adaptive Systems
(North Dakota State University, 2012)The major motivation for self-adaptive computing systems is the self-adjustment of the software according to a changing environment. Adaptive computing systems can add, remove, and replace their own components in response ... -
Towards Improving P300-based Brain-Computer Interfaces: From Desktop to Mobile
(North Dakota State University, 2014)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. ... -
Towards Test Focus Selection for Integration Testing Using Software Metrics
(North Dakota State University, 2013)Object-oriented software systems contain a large number of modules which make the unit testing, integration testing, and system testing very difficult and challenging. While the aim of the unit testing is to show that ... -
Tracking Vehicles from Mobile Phone Received Signal Strength Sequences
(North Dakota State University, 2015)We address the problem of tracking vehicles from received signal strength (RSS) sequences generated by mobile phones carried in them. Our main objectives are to provide travel-time estimates for selected roads and provide ... -
Trust and Anti-Autonomy Modelling of Autonomous Systems
(North Dakota State University, 2020)Human trust in autonomous vehicles is built upon their safe and secure operability in the most ethical, law abiding manner possible. Despite the technological advancements that autonomous vehicles are equipped with, their ... -
A Two-phase Security Mechanism for Anomaly Detection in Wireless Sensor Networks
(North Dakota State University, 2013)Wireless Sensor Networks (WSNs) have been applied to a wide range of application areas, including battle fields, transportation systems, and hospitals. The security issues in WSNs are still hot research topics. The constrained ... -
Understanding Contextual Factors in Regression Testing Techniques
(North Dakota State University, 2016)The software regression testing techniques of test case reduction, selection, and prioritization are widely used and well-researched in software development. They allow for more efficient utilization of scarce testing ... -
Understanding the Patterns of Microservice Intercommunication From A Developer Perspective
(North Dakota State University, 2022)Microservices Architecture is the modern paradigm for designing software. Based on the divide-and-conquer strategy, microservices architecture organizes the application by furnishing it with a fine-level granularity. Each ... -
Usability Construct for Mobile Applications: A Clustering based Approach
(North Dakota State University, 2015)The growth of mobile applications that run on cell phones and other handheld devices has introduced a broad range of usability challenges that were not faced by the web and standalone PC environments. The current usability ... -
User-Behavior Trust Modeling in Cloud Security
(North Dakota State University, 2019)With the cloud computing increasing in popularity by providing a massive number of services such as recourses and data center, the number of attacks is increasing. Security is a basic concern in cloud computing, and threats ... -
Using Cyberlearning Environment to Improve Student’s Learning and Engagement in Introductory Computer Programming Courses
(North Dakota State University, 2019)All Computer Science majors are required to take introductory programming (CS1) as a fundamental course which has a high dropout rate. Researchers report that CS1 students lack motivation and need constant resource support. ...