Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 7 of 7
Full-Text Articles in Computer Engineering
Fuzzy Expert Systems: A More Human-Based Approach For Sensorial Evaluation Of Coffee-Bean Attributes To Derive Quality Scoring, Javier A. Livio
Fuzzy Expert Systems: A More Human-Based Approach For Sensorial Evaluation Of Coffee-Bean Attributes To Derive Quality Scoring, Javier A. Livio
Theses and Dissertations
In the coffee industry, "cupping" is the process of sensorial evaluations of coffee beans, also known as Sample Evaluation. This process is done for three major reasons: to determine the actual sensory differences between coffee samples, to describe the flavors of the samples, and to determine preference of product. In totality, cupping targets the measurement of the coffee's quality related to fragrance, taste, and appearance which are expressed with a final numerical score. When cupping, the expert judge writes down the individual components' scores (fragrance, aftertaste, acidity, body, etc.) and ranks their intensities for reference. Despite the fact the cuppers …
An Exploration Of Rule Clustering In Cellular Automata Rule Spaces, Jordon Huffman
An Exploration Of Rule Clustering In Cellular Automata Rule Spaces, Jordon Huffman
Theses and Dissertations
The study of complex systems examines the global behavior of a system and how the individual parts of the system affect that behavior [1]. The study of complex systems spans across many fields of science like biology, physics, engineering, and computer science. One area of complex systems that has not been fully explored is cellular automata. Since its discovery by John von Neumann, there have been no consistent ways of categorizing similarities between cellular automata rules or collecting similar rules for observation. This thesis introduces an approach to identifying clusters of similar rules and extracting rules from that cluster. Several …
An Arithmetic-Based Deterministic Centroid Initialization Method For The K-Means Clustering Algorithm, Matthew Michael Mayo
An Arithmetic-Based Deterministic Centroid Initialization Method For The K-Means Clustering Algorithm, Matthew Michael Mayo
Theses and Dissertations
One of the greatest challenges in k-means clustering is positioning the initial cluster centers, or centroids, as close to optimal as possible, and doing so in an amount of time deemed reasonable. Traditional fc-means utilizes a randomization process for initializing these centroids, and poor initialization can lead to increased numbers of required clustering iterations to reach convergence, and a greater overall runtime. This research proposes a simple, arithmetic-based deterministic centroid initialization method which is much faster than randomized initialization. Preliminary experiments suggest that this collection of methods, referred to herein as the sharding centroid initialization algorithm family, often outperforms random …
Using A Nearest Neighbor Algorithm And Logistic Regression To Assess Hazard Identification In The U.S. Army Risk Management Process, Heath L. Mccormick
Using A Nearest Neighbor Algorithm And Logistic Regression To Assess Hazard Identification In The U.S. Army Risk Management Process, Heath L. Mccormick
Theses and Dissertations
No abstract provided.
Using Unrestricted Mobile Sensors To Infer Tapped And Traced User Inputs, Trang Duyen Nguyen
Using Unrestricted Mobile Sensors To Infer Tapped And Traced User Inputs, Trang Duyen Nguyen
Theses and Dissertations
No abstract provided.
Developing A Fuzzy Expert System To Examine Hazard Analysis In The United States Army, Charles J. Karels
Developing A Fuzzy Expert System To Examine Hazard Analysis In The United States Army, Charles J. Karels
Theses and Dissertations
No abstract provided.
An Adaptive Educational Game To Help Students Learn How To Solve Systems Of Linear Equations, Wang Zhang
An Adaptive Educational Game To Help Students Learn How To Solve Systems Of Linear Equations, Wang Zhang
Theses and Dissertations
No abstract provided.