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Now showing items 91-100 of 408
Modeling of Consumer Responses to Dynamic Pricing in a Smart Grid
(North Dakota State University, 2012)
This paper models the responses of three different types of consumers based on their sensitivity to dynamic price. Simulated household demand data is used to model the dynamic price of electricity. These prices are then ...
Computational Methods for Predicting Protein-Nucleic Acids Interaction
(North Dakota State University, 2015)
Since the inception of various proteomic projects, protein structures with unknown functions have been discovered at a fast speed. The proteins regulate many important biological processes by interacting with nucleic acids ...
Scalable Algorithms for Mining Maximal Quasi Frequent Subnetworks
(North Dakota State University, 2018)
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 ...
Finding the Most Predictive Data Source in Biological Data
(North Dakota State University, 2013)
Classification can be used to predict unknown functions of proteins by using known function information. In some cases, multiple sets of data are available for classification where prediction is only part of the problem, ...
Application of the Kusumoto Cost-Metric to Evaluate the Cost-Effectiveness of Software Inspections
(North Dakota State University, 2012)
Inspection and testing are two widely recommended techniques for software quality improvement with a common goal of defect detection and removal in software products. While testing cannot be conducted until software is ...
Sentiment Analysis on Twitter Data Using Different Algorithms
(North Dakota State University, 2018)
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 ...
Analyzing Student Learning Outcomes in Programming Course Using Individual Study Vs. Pair Programming
(North Dakota State University, 2014)
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 ...
Using Human Error Models to Improve the Quality of Software Requirements
(North Dakota State University, 2018)
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 ...
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 ...
Taxonomy of Gestures in Human Computer Interaction
(North Dakota State University, 2013)
Classification of gestures is important in the area of gestural interaction given the diversity, the complexity and the spontaneity of the gestures in different HCI application domains. Gesture designers for interactive ...