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Experimental Study of an Information-Based Complexity Metric
Title
An Experimental Study of an Information-Based Complexity Metric.
Creator
Danaher, Mary Schindlbeck, Florida Atlantic University, Coulter, Neal S., Harold, Frederick G., Munson, John C.
Abstract/Description
Through a small contained environment, this study evaluates an information-based complexity metric theory and its relationship to the effort expended in constructing a program. The metric, which calculates the amount of information present in a program specification, determines the specification's complexity measure. The observed measures of programmer effort were the numbers of keystrokes, insertions, deletions, and runs needed to complete the program specification. It was theorized that a...
Show moreThrough a small contained environment, this study evaluates an information-based complexity metric theory and its relationship to the effort expended in constructing a program. The metric, which calculates the amount of information present in a program specification, determines the specification's complexity measure. The observed measures of programmer effort were the numbers of keystrokes, insertions, deletions, and runs needed to complete the program specification. It was theorized that a program with a higher complexity value than that of another program will require more programmer resources to complete. A significant relationship between the metric and the number of keystrokes was found.
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Date Issued
1987
PURL
http://purl.flvc.org/fcla/dt/14412
Subject Headings
Computer programs, Multivariate analysis
Format
Document (PDF)
GENERALIZED PADE APPROXIMATION TECHNIQUES AND MULTIDIMENSIONAL SYSTEMS
Title
GENERALIZED PADE APPROXIMATION TECHNIQUES AND MULTIDIMENSIONAL SYSTEMS.
Creator
MESSITER, MARK A., Florida Atlantic University, Shamash, Yacov A., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Two algorithms for greatest common factor (GCF) extraction from two multivariable polynomials, based on generalized Pade approximation, are presented. The reduced transfer matrices for two-dimensional (20) systems are derived from two 20 state-space models. Tests for product and sum separabilities of multivariable functions are also given.
Date Issued
1983
PURL
http://purl.flvc.org/fcla/dt/14175
Subject Headings
Multivariate analysis, Padé approximant, Polynomials
Format
Document (PDF)
Relationships between seagrass bed characteristics and juvenile queen conch (Strombus gigas Linne) abundance in the Bahamas
Title
Relationships between seagrass bed characteristics and juvenile queen conch (Strombus gigas Linne) abundance in the Bahamas.
Creator
Stoner, Allan W., Lin, Junda, Hanisak, M. Dennis
Date Issued
1995
PURL
http://purl.flvc.org/FCLA/DT/3174041
Subject Headings
Seagrasses, Queen conch, Algae, Multivariate analysis, Sediment, Suspended
Format
Document (PDF)
Bayesian approach to an exponential hazard regression model with a change point
Title
Bayesian approach to an exponential hazard regression model with a change point.
Creator
Abraha, Yonas Kidane, Qian, Lianfen, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Mathematical Sciences
Abstract/Description
This thesis contains two parts. The first part derives the Bayesian estimator of the parameters in a piecewise exponential Cox proportional hazard regression model, with one unknown change point for a right censored survival data. The second part surveys the applications of change point problems to various types of data, such as long-term survival data, longitudinal data and time series data. Furthermore, the proposed method is then used to analyse a real survival data.
Date Issued
2014
PURL
http://purl.flvc.org/fau/fd/FA00004013
Subject Headings
Bayesian statistical decision theory, Mathematical statistics, Multivariate analysis -- Data processing
Format
Document (PDF)
An Application of Artificial Neural Networks for Hand Grip Classification
Title
An Application of Artificial Neural Networks for Hand Grip Classification.
Creator
Gosine, Robbie R., Zhuang, Hanqi, Florida Atlantic University
Abstract/Description
The gripping action as performed by an average person is developed over their life and changes over time. The initial learning is based on trial and error and becomes a natural action which is modified as the physiology of the individual changes. Each grip type is a personal expression and as the grip changes over time to accommodate physiologically changes, it can be considered to be a grip-signature. lt is postulated that an ANN can deliver a classification mechanism that is able to make...
Show moreThe gripping action as performed by an average person is developed over their life and changes over time. The initial learning is based on trial and error and becomes a natural action which is modified as the physiology of the individual changes. Each grip type is a personal expression and as the grip changes over time to accommodate physiologically changes, it can be considered to be a grip-signature. lt is postulated that an ANN can deliver a classification mechanism that is able to make sense of the varying gripping inputs that are linearly inseparable and uniquely attributed to user physiology. Succinctly, in this design, the stifnulus is characterized by a voltage that represents the applied force in a grip. This signature of forces is then used to train an ANN to recognize the grip that produced the signature, the ANN in turn is used to successfully classify three unique states of grip-signatures collected from the gripping action of various individuals as they hold, lift and crush a paper coffee-cup. A comparative study is done for three types of classification: K-Means, Backpropagation Feedforward Neural Networks and Recurrent Neural Networks, with recommendations made in selecting more effective classification methods.
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Date Issued
2007
PURL
http://purl.flvc.org/fau/fd/FA00012522
Subject Headings
Neural networks (Computer science), Pattern perception, Back propagation (Artificial intelligence), Multivariate analysis (Computer programs)
Format
Document (PDF)
An Empirical Study of Ordinal and Non-ordinal Classification Algorithms for Intrusion Detection in WLANs
Title
An Empirical Study of Ordinal and Non-ordinal Classification Algorithms for Intrusion Detection in WLANs.
Creator
Gopalakrishnan, Leelakrishnan, Khoshgoftaar, Taghi M., Florida Atlantic University
Abstract/Description
Ordinal classification refers to an important category of real world problems, in which the attributes of the instances to be classified and the classes are linearly ordered. Many applications of machine learning frequently involve situations exhibiting an order among the different categories represented by the class attribute. In ordinal classification the class value is converted into a numeric quantity and regression algorithms are applied to the transformed data. The data is later...
Show moreOrdinal classification refers to an important category of real world problems, in which the attributes of the instances to be classified and the classes are linearly ordered. Many applications of machine learning frequently involve situations exhibiting an order among the different categories represented by the class attribute. In ordinal classification the class value is converted into a numeric quantity and regression algorithms are applied to the transformed data. The data is later translated back into a discrete class value in a postprocessing step. This thesis is devoted to an empirical study of ordinal and non-ordinal classification algorithms for intrusion detection in WLANs. We used ordinal classification in conjunction with nine classifiers for the experiments in this thesis. All classifiers are parts of the WEKA machinelearning workbench. The results indicate that most of the classifiers give similar or better results with ordinal classification compared to non-ordinal classification.
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Date Issued
2006
PURL
http://purl.flvc.org/fau/fd/FA00012521
Subject Headings
Wireless LANs--Security measures, Computer networks--Security measures, Data structures (Computer science), Multivariate analysis
Format
Document (PDF)
genetic algorithm for non-constrained process and economic process optimization
Title
A genetic algorithm for non-constrained process and economic process optimization.
Creator
Chirdchid, Sangthen., Florida Atlantic University, Masory, Oren, Mazouz, Abdel Kader, College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description
Improving the quality of a product and manufacturing processes at a low cost is an economic and technological challenge which quality engineers and researches must contend with. In general, the quality of products and their cost are the main concerns for manufactures. This is because improving quality is very crucial for staying competitive and improving the organization's market position. However, some difficulty of finding where the standard of good quality is still remains. Customers'...
Show moreImproving the quality of a product and manufacturing processes at a low cost is an economic and technological challenge which quality engineers and researches must contend with. In general, the quality of products and their cost are the main concerns for manufactures. This is because improving quality is very crucial for staying competitive and improving the organization's market position. However, some difficulty of finding where the standard of good quality is still remains. Customers' satisfaction is a key for setting up the quality target. One possible solution is to develop control limits, which are the limits for indicating the area of nonconforming product on the basis of minimizing the total cost or loss to the customer as well as to the manufacturer. Therefore, the goal of this dissertation is to develop an effective tool to improve a high quality of product while maintaining a minimum cost.
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Date Issued
2004
PURL
http://purl.flvc.org/fau/fd/FADT12081
Subject Headings
Genetic algorithms, Quality of products--Cost effectiveness--Econometric models, Multivariate analysis, Taguchi methods (Quality control)
Format
Document (PDF)