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Title: Feature selection techniques and applications in bioinformatics.
Creator: Dittman, David, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Possibly the largest problem when working in bioinformatics is the large amount of data to sift through to find useful information. This thesis shows that the use of feature selection (a method of removing irrelevant and redundant information from the dataset) is a useful and even necessary technique to use in these large datasets. This thesis also presents a new method in comparing classes to each other through the use of their features. It also provides a thorough analysis of the use of...
Show morePossibly the largest problem when working in bioinformatics is the large amount of data to sift through to find useful information. This thesis shows that the use of feature selection (a method of removing irrelevant and redundant information from the dataset) is a useful and even necessary technique to use in these large datasets. This thesis also presents a new method in comparing classes to each other through the use of their features. It also provides a thorough analysis of the use of various feature selection techniques and classifier in different scenarios from bioinformatics. Overall, this thesis shows the importance of the use of feature selection in bioinformatics.
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Date Issued: 2011
PURL: http://purl.flvc.org/FAU/3175016
Subject Headings: Bioinformatifcs, Data mining, Technological innovations, Computational biology, Combinatorial group theory, Filters (Mathematics), Ranking and selection (Statistics)
Format: Document (PDF)

Title: 2006-2007 Program Review Computer Science and Engineering.
Creator: Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2006-2007
PURL: http://purl.flvc.org/fau/fd/FA00007722
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2006-2007 Program Review Electrical Engineering.
Creator: Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2006-2007
PURL: http://purl.flvc.org/fau/fd/FA00007723
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Computer and Electrical Engineering and Computer Science.
Creator: Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2013-2014
PURL: http://purl.flvc.org/fau/fd/FA00007736
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Computer and Electrical Engineering and Computer Science.
Creator: Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2014-2015
PURL: http://purl.flvc.org/fau/fd/FA00007739
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Computer and Electrical Engineering and Computer Science.
Creator: Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2012-2013
PURL: http://purl.flvc.org/fau/fd/FA00007733
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Computer and Electrical Engineering and Computer Science.
Creator: Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2010-2011
PURL: http://purl.flvc.org/fau/fd/FA00007730
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Computer and Electrical Engineering and Computer Science.
Creator: Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2009-2010
PURL: http://purl.flvc.org/fau/fd/FA00007727
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Computer and Electrical Engineering and Computer Science.
Creator: Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2016-2017
PURL: http://purl.flvc.org/fau/fd/FA00007745
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Computer and Electrical Engineering and Computer Science.
Creator: Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2015-2016
PURL: http://purl.flvc.org/fau/fd/FA00007742
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: Software reliability engineering with genetic programming.
Creator: Liu, Yi., Florida Atlantic University, Khoshgoftaar, Taghi M., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Software reliability engineering plays a vital role in managing and controlling software quality. As an important method of software reliability engineering, software quality estimation modeling is useful in defining a cost-effective strategy to achieve a reliable software system. By predicting the faults in a software system, the software quality models can identify high-risk modules, and thus, these high-risk modules can be targeted for reliability enhancements. Strictly speaking, software...
Show moreSoftware reliability engineering plays a vital role in managing and controlling software quality. As an important method of software reliability engineering, software quality estimation modeling is useful in defining a cost-effective strategy to achieve a reliable software system. By predicting the faults in a software system, the software quality models can identify high-risk modules, and thus, these high-risk modules can be targeted for reliability enhancements. Strictly speaking, software quality modeling not only aims at lowering the misclassification rate, but also takes into account the costs of different misclassifications and the available resources of a project. As a new search-based algorithm, Genetic Programming (GP) can build a model without assuming the size, shape, or structure of a model. It can flexibly tailor the fitness functions to the objectives chosen by the customers. Moreover, it can optimize several objectives simultaneously in the modeling process, and thus, a set of multi-objective optimization solutions can be obtained. This research focuses on building software quality estimation models using GP. Several GP-based models of predicting the class membership of each software module and ranking the modules by a quality factor were proposed. The first model of categorizing the modules into fault-prone or not fault-prone was proposed by considering the distinguished features of the software quality classification task and GP. The second model provided quality-based ranking information for fault-prone modules. A decision tree-based software classification model was also proposed by considering accuracy and simplicity simultaneously. This new technique provides a new multi-objective optimization algorithm to build decision trees for real-world engineering problems, in which several trade-off objectives usually have to be taken into account at the same time. The fourth model was built to find multi-objective optimization solutions by considering both the expected cost of misclassification and available resources. Also, a new goal-oriented technique of building module-order models was proposed by directly optimizing several goals chosen by project analysts. The issues of GP , bloating and overfitting, were also addressed in our research. Data were collected from three industrial projects, and applied to validate the performance of the models. Results indicate that our proposed methods can achieve useful performance results. Moreover, some proposed methods can simultaneously optimize several different objectives of a software project management team.
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Date Issued: 2003
PURL: http://purl.flvc.org/fau/fd/FADT12047
Subject Headings: Computer software--Quality control, Genetic programming (Computer science), Software engineering
Format: Document (PDF)

Title: Software quality classification using rule-based modeling.
Creator: Mao, Meihui., Florida Atlantic University, Khoshgoftaar, Taghi M., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Software-based products are part of our daily life. They can be encountered in most of the systems we interact with. This reliance on software products generates a strong need for better software reliability, reducing the cost associated with potential failures. Reliability in software systems may be achieved by using additional testing. However, extensive software testing is expensive and time consuming. Software quality classification models provide an early prediction of a module's quality...
Show moreSoftware-based products are part of our daily life. They can be encountered in most of the systems we interact with. This reliance on software products generates a strong need for better software reliability, reducing the cost associated with potential failures. Reliability in software systems may be achieved by using additional testing. However, extensive software testing is expensive and time consuming. Software quality classification models provide an early prediction of a module's quality. Boolean Discriminant Function (BDF), Generalized Boolean Discriminant Function (GBDF), and Rule-Based Modeling (RBM) can be used as classification models. This thesis demonstrates the ability of GBDF and RBM to correctly classify modules. The introduction of the AND operator in the GBDF model and the customizable outcomes for the rules in RBM, enhanced the discriminating quality of GBDF and RBM as compared to BDF. Furthermore, they also yielded better balances for the misclassification rates.
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Date Issued: 2002
PURL: http://purl.flvc.org/fcla/dt/12886
Subject Headings: Computer software--Quality control, Software measurement
Format: Document (PDF)

Title: Software-implemented fault tolerance in a hypercube multiprocessor.
Creator: Sahai, Shankar., Florida Atlantic University, Fernandez, Eduardo B., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: This thesis analyzes how software fault tolerance can be implemented in a hypercube multiprocessor. For concreteness we consider a multiprocessor using Intel 80286/386/486 processors. The Recovery Metaprogram approach (an architecture that isolates all fault tolerance functions in a special layer) has been used to implement application transparent and application specific fault tolerance technigues such as recovery blocks, N-version programming, exceptions and others. A fault tolerant routing...
Show moreThis thesis analyzes how software fault tolerance can be implemented in a hypercube multiprocessor. For concreteness we consider a multiprocessor using Intel 80286/386/486 processors. The Recovery Metaprogram approach (an architecture that isolates all fault tolerance functions in a special layer) has been used to implement application transparent and application specific fault tolerance technigues such as recovery blocks, N-version programming, exceptions and others. A fault tolerant routing algorithm is also described. While the details are specific to the 80286/386/486 processor these results apply also to any other processor with similar features.
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Date Issued: 1990
PURL: http://purl.flvc.org/fcla/dt/14633
Subject Headings: Hypercube networks (Computer networks), Intel 80x86 (Microprocessor)
Format: Document (PDF)

Title: Survey of design techniques for signal integrity.
Creator: Karnati, Raghuveer., Florida Atlantic University, Shankar, Ravi, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Signal Integrity is a major bottleneck for DSM designs. Signal integrity refers to wide variety of problems, which leads to misconception. Signal integrity causes delay or noise at the high-level, but this boils down to resistance, capacitance and inductance (RLC) at circuit level. Several analysis and reduction techniques were proposed for reducing these effects on signal integrity. This work solves the misconception by encompassing different problems Chat effect signal integrity and can be...
Show moreSignal Integrity is a major bottleneck for DSM designs. Signal integrity refers to wide variety of problems, which leads to misconception. Signal integrity causes delay or noise at the high-level, but this boils down to resistance, capacitance and inductance (RLC) at circuit level. Several analysis and reduction techniques were proposed for reducing these effects on signal integrity. This work solves the misconception by encompassing different problems Chat effect signal integrity and can be good reference for a integrated circuit designer. The objective is to analyze these modeling methods, reduction techniques, tools and make recommendations that aids in developing a methodology for perfect design closure with an emphasis on signal integrity. These recommendations would form a basis for developing a methodology to analyze interference effects at higher levels of abstraction.
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Date Issued: 2003
PURL: http://purl.flvc.org/fcla/dt/13065
Subject Headings: Integrated circuits--Design and construction, Signal processing, Electronic circuit design
Format: Document (PDF)

Title: Subspace detection and scale evolutionary eigendecomposition.
Creator: Kyperountas, Spyros C., Florida Atlantic University, Erdol, Nurgun, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: A measure of the potential of a receiver for detection is detectability. Detectability is a function of the signal and noise, and given any one of them the detectability is fixed. In addition, complete transforms of the signal and noise cannot change detectability. Throughout this work we show that "Subspace methods" as defined here can improve detectability in specific subspaces, resulting in improved Receiver Operating Curves (ROC) and thus better detection in arbitrary noise environments....
Show moreA measure of the potential of a receiver for detection is detectability. Detectability is a function of the signal and noise, and given any one of them the detectability is fixed. In addition, complete transforms of the signal and noise cannot change detectability. Throughout this work we show that "Subspace methods" as defined here can improve detectability in specific subspaces, resulting in improved Receiver Operating Curves (ROC) and thus better detection in arbitrary noise environments. Our method is tested and verified on various signals and noises, both simulated and real. The optimum detection of signals in noise requires the computation of noise eigenvalues and vectors (EVD). This process neither is a trivial one nor is it computationally cheap, especially for non-stationary noise and can result in numerical instabilities when the covariance matrix is large. This work addresses this problem and provides solutions that take advantage of the subspace structure through plane rotations to improve on existing algorithms for EVD by improving their convergence rate and reducing their computational expense for given thresholds.
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Date Issued: 2001
PURL: http://purl.flvc.org/fcla/dt/11965
Subject Headings: Eigenvalues, Eigenvectors, Wavelets (Mathematics)
Format: Document (PDF)

Title: Subband coding of images using binomial QMF and vector quantization.
Creator: Rajamani, Kannan., Florida Atlantic University, Erdol, Nurgun, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: This thesis presents an image coding system using binomial QMF based subband decomposition and vector quantisation. An attempt was made to compress a still image of size 256 x 256 represented at a resolution of 8 bits/pixel to a bit rate of 0.5 bits/pixel using 16 channel subband decomposition with binomial QMFs and coding the subbands using a full search LBG Vector Quantizer (VQ). Simulations were done on SUN work station and the quality of the image was evaluated by computing the Signal to...
Show moreThis thesis presents an image coding system using binomial QMF based subband decomposition and vector quantisation. An attempt was made to compress a still image of size 256 x 256 represented at a resolution of 8 bits/pixel to a bit rate of 0.5 bits/pixel using 16 channel subband decomposition with binomial QMFs and coding the subbands using a full search LBG Vector Quantizer (VQ). Simulations were done on SUN work station and the quality of the image was evaluated by computing the Signal to Noise Ratio (SNR) between the original image and the reconstructed image.
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Date Issued: 1995
PURL: http://purl.flvc.org/fcla/dt/15203
Subject Headings: Image compression--Digital techniques, Image processing--Digital techniques, Image transmission--Digital techniques, Coding theory, Vector fields
Format: Document (PDF)

Title: Studies on cross-talk in microstriplines.
Creator: Kopp, Markus Benjamin., Florida Atlantic University, Ungvichian, Vichate, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: This thesis is concerned with the analysis of the current distributions in coplanar parallel microstripline structures, and the calculation of crosstalk in these structures. This is accomplished by using a Finite Element Method approach. Two parallel strips, a right angle bend junction, and a T junction are studied in order to gain an insight into the current distributions and the primary causes of crosstalk. The control of crosstalk is also investigated, with alternative geometries for...
Show moreThis thesis is concerned with the analysis of the current distributions in coplanar parallel microstripline structures, and the calculation of crosstalk in these structures. This is accomplished by using a Finite Element Method approach. Two parallel strips, a right angle bend junction, and a T junction are studied in order to gain an insight into the current distributions and the primary causes of crosstalk. The control of crosstalk is also investigated, with alternative geometries for microstrip designs. It is seen that the finite element method can yield results comparable with other accepted methods, and other perceivable physical models of the test structures. Also shown in the present study that crosstalk can be reduced by decreasing the trace-to-ground plane separation.
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Date Issued: 1993
PURL: http://purl.flvc.org/fcla/dt/14954
Subject Headings: Microwave wiring, Crosstalk, Finite element method, Strip transmission lines
Format: Document (PDF)

Title: Self-calibration of parallel-link mechanisms.
Creator: Liu, Lixin., Florida Atlantic University, Zhuang, Hanqi, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Self-calibration is a desirable feature for an intelligent machine such as a robot that must function outside of controlled laboratory conditions. This is because it is inevitable that variations in the kinematic model arise from imperfections in the manufacturing process and changes of environment conditions. Self-calibration has the potential of (a) removing the dependence on external pose sensing, (b) producing high accuracy measurement data over the entire workspace of the system with an...
Show moreSelf-calibration is a desirable feature for an intelligent machine such as a robot that must function outside of controlled laboratory conditions. This is because it is inevitable that variations in the kinematic model arise from imperfections in the manufacturing process and changes of environment conditions. Self-calibration has the potential of (a) removing the dependence on external pose sensing, (b) producing high accuracy measurement data over the entire workspace of the system with an extremely fast measurement rate, (c) being automated and completely non invasive, (d) facilitating on-line accuracy compensation, and (e) being cost effective. This dissertation concentrates on the study of self-calibrating parallel-link mechanisms. A framework of self-calibration of a parallel-link mechanism is created, which is based on kinematic analysis and the construction of measurement residuals utilizing the information provided by redundant sensors embedded in the system. Forward and inverse kinematic measurement residuals of the mechanisms are proposed. To avoid the estimation of redundant kinematic parameters of the mechanism, the concept of relative residuals is introduced. Guidelines for placement of sensors for self-calibration are presented. An approach to determining the number of independent kinematic parameters of the mechanism is introduced. Extensive simulation and experimental studies conducted on a parallel-link mechanism, the Stewart platform built in the Robotics Center at Florida Atlantic University, confirm the effectiveness of the proposed approach.
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Date Issued: 1997
PURL: http://purl.flvc.org/fcla/dt/12539
Subject Headings: Manipulators (Mechanism)--Calibration, Robots--Control systems, Robotics
Format: Document (PDF)

Title: Selective texture characterization using Gabor filters.
Creator: Boutros, George., Florida Atlantic University, Sudhakar, Raghavan, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The objective of this dissertation is to develop effective algorithms for texture characterization, segmentation and labeling that operate selectively to label image textures, using the Gabor representation of signals. These representations are an analog of the spatial frequency tuning characteristics of the visual cortex cells. The Gabor function, of all spatial/spectral signal representations, provides optimal resolution between both domains. A discussion of spatial/spectral representations...
Show moreThe objective of this dissertation is to develop effective algorithms for texture characterization, segmentation and labeling that operate selectively to label image textures, using the Gabor representation of signals. These representations are an analog of the spatial frequency tuning characteristics of the visual cortex cells. The Gabor function, of all spatial/spectral signal representations, provides optimal resolution between both domains. A discussion of spatial/spectral representations focuses on the Gabor function and the biological analog that exists between it and the simple cells of the striate cortex. A simulation generates examples of the use of the Gabor filter as a line detector with synthetic data. Simulations are then presented using Gabor filters for real texture characterization. The Gabor filter spatial and spectral attributes are selectively chosen based on the information from a scale-space image in order to maximize resolution of the characterization process. A variation of probabilistic relaxation that exploits the Gabor filter spatial and spectral attributes is devised, and used to force a consensus of the filter responses for texture characterization. We then perform segmentation of the image using the concept of isolation of low energy states within an image. This iterative smoothing algorithm, operating as a Gabor filter post-processing stage, depends on a line processes discontinuity threshold. Selection of the discontinuity threshold is obtained from the modes of the histogram of the relaxed Gabor filter responses using probabilistic relaxation to detect the significant modes. We test our algorithm on simple synthetic and real textures, then use a more complex natural texture image to test the entire algorithm. Limitations on textural resolution are noted, as well as for the resolution of the image segmentation process.
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Date Issued: 1993
PURL: http://purl.flvc.org/fcla/dt/12342
Subject Headings: Image processing--Digital techniques, Computer vision
Format: Document (PDF)

Title: Software design using case based reasoning.
Creator: Smith, Nancy T., Florida Atlantic University, Ganesan, Krishnamurthy, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The project that was created for this thesis is a Case Based Reasoning application to be used in high level software design for Siemens' Telecommunications software. Currently, design engineers search for existing subtasks in the software that are similar to subtasks in their new designs by reading documentation and consulting with other engineers. The prototype for Software Design Using Case Based Reasoning (SDUCBR) stores these subtasks in a case library and enables the design engineer to...
Show moreThe project that was created for this thesis is a Case Based Reasoning application to be used in high level software design for Siemens' Telecommunications software. Currently, design engineers search for existing subtasks in the software that are similar to subtasks in their new designs by reading documentation and consulting with other engineers. The prototype for Software Design Using Case Based Reasoning (SDUCBR) stores these subtasks in a case library and enables the design engineer to locate relevant subtasks via three different indexing techniques. This thesis addresses knowledge representation and indexing mechanisms appropriate for this application. SDUCBR is domain-dependent. Cases are stored in a relational hierarchy to facilitate analyzing the existing implementation from various perspectives. The indexing mechanisms were designed to provide the software design engineer with the flexibility of describing a problem differently based on the objective, level of granularity, and special characteristics of the subtask.
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Date Issued: 1995
PURL: http://purl.flvc.org/fcla/dt/15198
Subject Headings: Computer software--Development, Case-based reasoning, Artificial intelligence--Data processing, System design
Format: Document (PDF)

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