Digital Commons Network^™

Sparse Representation And Dictionary Learning For Biometrics And Object Tracking, Rahman Khorsandi

Open Access Dissertations

Biometrics attracted the attention of researchers in computer vision and machine learning for its use in many applications. We propose systems for face and ear recognition, gender classification and object tracking. First, we present a fully automated system for recognition from ear images based upon sparse representation. In sparse representation, extracted features from the training data is used to develop a dictionary. Classification is achieved by representing the extracted features of the test data as a linear combination of entries in the dictionary. In fact, there are many solutions for this problem and the goal is to find the sparsest …

Mitigation Of Disagreement In Peer Review Among L2 Learners And Native Speakers In A College Writing Class (Mitigación Del Impacto De Las Opiniones De Desacuerdo En El Proceso De Revisión Por Pares Entre Estudiantes De Una Segunda Lengua Y Hablantes Nativos En Una Clase De Escritura A Nivel Universitario), Katherine Christoffersen

Writing and Language Studies Faculty Publications and Presentations

Peer review is now a commonplace practice in process-oriented writing instruction. A crucial aspect of peer review is assessing another classmate’s work, which encompasses the act of disagreement. Given its prevalence in the classroom, it is necessary to analyze how L2 learners mitigate disagreement in the context of peer review with other L2 learners and native speakers. The present paper presents a qualitative analysis of action research from an introductory English writing class at the university level including native speakers of English and international students from different linguistic and cultural backgrounds. The conversation-based peer review sessions were analyzed for various …

Levee Slide Detection Using Synthetic Aperture Radar Magnitude And Phase, Ramakalavathi Marapareddy

Theses and Dissertations

The objectives of this research are to support the development of state-of-the-art methods using remotely sensed data to detect slides or anomalies in an efficient and cost-effective manner based on the use of SAR technology. Slough or slump slides are slope failures along a levee, which leave areas of the levee vulnerable to seepage and failure during high water events. This work investigates the facility of detecting the slough slides on an earthen levee with different types of polarimetric Synthetic Aperture Radar (polSAR) imagery. The source SAR imagery is fully quad-polarimetric L-band data from the NASA Jet Propulsion Laboratory’s (JPL’s) …

Bm3d Image Denoising Using Learning-Based Adaptive Hard Thresholding, Farhan Bashar

Electronic Thesis and Dissertation Repository

Image denoising is an important pre-processing step in most imaging applications. Block Matching and 3D Filtering (BM3D) is considered to be the current state-of-art algorithm for additive image denoising. But this algorithm uses a fixed hard thresholding scheme to attenuate noise from a 3D block. Experiments show that this fixed hard thresholding deteriorates the performance of BM3D because it does not consider the context of corresponding blocks. In this thesis, we propose a learning based adaptive hard thresholding method to solve this issue. Also, BM3D algorithm requires as an input the value of the noise level in the input image. …

A Generalized Model Of Cognitive Workload, Taylor Carpenter

Theses

Numerous catastrophic accidents have been the result of human operators making poor judgement calls stemming from suboptimal decision making. This suboptimal decision making, in many cases, arises when an operator is either in a high cognitive workload state, overwhelmed with information leading to a greater chance of missing an important detail, or in a low cognitive workload state, distracted and overall not paying attention to the task at hand. If the cognitive workload of an individual can be properly monitored, suboptimal operator conditions can be recognized or prevented, reducing the chance of an accident. While previous research has led to …

Capstone Projects Mining System For Insights And Recommendations, Melvrivk Aik Chun Goh, Swapna Gottipati, Venky Shankararaman

Research Collection School Of Computing and Information Systems

In this paper, we present a classification based system to discover knowledge and trends in higher education students’ projects. Essentially, the educational capstone projects provide an opportunity for students to apply what they have learned and prepare themselves for industry needs. Therefore mining such projects gives insights of students’ experiences as well as industry project requirements and trends. In particular, we mine capstone projects executed by Information Systems students to discover patterns and insights related to people, organization, domain, industry needs and time. We build a capstone projects mining system (CPMS) based on classification models that leverage text mining, natural …

Students’ Attitude To Cataloguing And Classification In An Academic Institution (The Case Of Federal Polytechnic Offa), Tunde Idris Yusuf

Library Philosophy and Practice (e-journal)

The study examined the students’ attitude to cataloguing and classification in an academic institution using department of library and Information Science, federal polytechnic offa as a case study. It was a survey study and therefore questionnaire was the instrument for the collection of data. Random sampling method was used in selecting the sample from HND II, HND I and ND II students. The study revealed that some students perceived the courses as difficult with their practical which attributed to insufficient practical, also tradition method of teaching employed by lecturers teaching the courses makes the courses not interested. Recommendations among the …

Development And Characterization Of Microsatellite Loci For Common Raven (Corvus Corax) And Cross Species Amplification In Other Corvidae, Christin L. Pruett, Leping Wan, Tianyu Li, Cory Spern, Stacey Lyn Lance, Travis C. Glenn, Brant C. Faircloth, Kevin S. Winker

Biomedical Engineering and Sciences Faculty Publications

Background: A priority for conservation is the identification of endemic populations. We developed microsatellite markers for common raven (Corvus corax), a bird species with a Holarctic distribution, to identify and assess endemic populations in Alaska. Results: From a total of 50 microsatellite loci, we isolated and characterized 15 loci. Eight of these loci were polymorphic and readily scoreable. Eighteen to 20 common ravens from Fairbanks, Alaska were genotyped showing the following variability: 3-8 alleles per locus, 0.25-0.80 observed heterozygosity (Ho), and 0.30-0.80 expected heterozygosity (He). All loci were in Hardy-Weinberg equilibrium and linkage equilibrium and many loci amplified and were …

Photoacoustic Imaging For Ovarian Cancer Detection: System Development And Classification Algorithm, Hai Li

Doctoral Dissertations

Ovarian cancer is relatively rare but it has the highest mortality with a five-year survival rate of only 30% comparing with other gynecologic cancers. Most of ovarian cancers are diagnosed at late stages because of no efficacious screening techniques. So there is an urgent need to develop new imaging techniques for early stage ovarian cancer detection. Photoacoustic imaging (PAI) inherently combines the merits of optical imaging and ultrasound imaging. In PAI, photoacoustic waves are generated by illuminating tissue samples with a short laser pulse. Photoacoustic waves are then measured by ultrasound transducers to reconstruct optical absorption at ultrasound resolution, which …

Predictive Validity And Classification Accuracy Of Actigraph Energy Expenditure Equations And Cut-Points In Young Children, Xanne Janssen, Dylan P. Cliff, John J. Reilly, Trina Hinkley, Rachel A. Jones, Marijka Batterham, Ulf Ekelund, Soren Brage, Anthony D. Okely

Dr Marijka Batterham

Objectives Evaluate the predictive validity of ActiGraph energy expenditure equations and the classification accuracy of physical activity intensity cut-points in preschoolers. Methods Forty children aged 4–6 years (5.3±1.0 years) completed a ~150-min room calorimeter protocol involving age-appropriate sedentary, light and moderate-to vigorous-intensity physical activities. Children wore an ActiGraph GT3X on the right mid-axillary line of the hip. Energy expenditure measured by room calorimetry and physical activity intensity classified using direct observation were the criterion methods. Energy expenditure was predicted using Pate and Puyau equations. Physical activity intensity was classified using Evenson, Sirard, Van Cauwenberghe, Pate, Puyau, and Reilly, ActiGraph cut-points. …

Fusion Of Completed Local Binary Pattern Features With Curvelet Features For Mammogram Classification, Syed Jamal Safdar Gardezi, Ibrahima Faye

Applied Mathematics & Information Sciences

In this paper, fusion of texture features to improve classification accuracy by false positive reduction in mammograms is proposed. The method uses texture features obtained from completed local binary pattern (CLBP) and grey level texture features obtained from the Curvelet sub-bands. In the current experiments, mass and normal patches were obtained from Mammographic image analysis Society (MIAS) and Image retrieval in medical applications (IRMA) datasets for mammograms. Texture features from both methods are combined together to obtain the feature fusion matrix. Then Nearest neighbor classifier was used for classification to evaluate the individual as well as enhanced features obtained from …

Using Machine Learning Techniques For Finding Meaningful Transcripts In Prostate Cancer Progression, Siva Charan Reddy Singi Reddy

Electronic Theses and Dissertations

Prostate Cancer is one of the most common types of cancer among Canadian men. Next generation sequencing that uses RNA-Seq can be valuable in studying cancer, since it provides large amounts of data as a source for information about biomarkers. For these reasons, we have chosen RNA-Seq data for prostate cancer progression in our study. In this research, we propose a new method for finding transcripts that can be used as genomic features. In this regard, we have gathered a very large amount of transcripts. There are a large number of transcripts that are not quite relevant, and we filter …

Stretching Conceptual Structures In Classifications Across Languages And Cultures., Barbara H. Kwasnik, Victoria L. Rubin

Victoria Rubin

The authors describe the difficulties of translating classifications from a source language and culture to another language and culture. To demonstrate these problems, kinship terms and concepts from native speakers of fourteen languages were collected and analyzed to find differences between their terms and structures and those used in English. Using the representations of kinship terms in the Library of Congress Classification (LCC) and the Dewey Decimal Classification (DDC) as examples, the authors identified the source of possible lack of mapping between the domain of kinship in the fourteen languages studied and the LCC and DDC. Finally, some preliminary suggestions …

John Stuart Mill On Taxonomy And Natural Kinds, P.D. Magnus

Philosophy Faculty Scholarship

The accepted narrative treats John Stuart Mill's Kinds as the historical prototype for our natural kinds, but Mill actually employs two separate notions: Kinds and natural groups. Considering these, along with the accounts of Mill's 19th-century interlocutors, forces us to recognize two distinct questions. First, what marks a natural kind as worthy of inclusion in taxonomy? Second, what exists in the world that makes a category meet that criterion? Mill's two notions offer separate answers to the two questions: natural groups for taxonomy, and Kinds for ontology. This distinction is ignored in many contemporary debates about natural kinds and is …

A Framework For A Formal Sovereign Debt Restructuring Mechanism: The Kiss Principle (Keep It Simple, Stupid) And Other Guiding Principles, Charles W. Mooney Jr.

All Faculty Scholarship

Given the ongoing work on a multilateral restructuring process for sovereign debt in the UN, consideration of the content and implementation of a sovereign debt restructuring mechanism (SDRM) is timely. The framework and content of the SDRM proposed here differs from earlier proposals in several important respects. For the classification and supermajority voting of claims in the approval a restructuring plan, it would mimic the structure and operation of the model collective action clauses (Model CACs) proposed by the International Capital Markets Association. Restructuring under a qualified sovereign debt restructuring law (QSDRL) would be guided by four principles: (i) observe …

Should I Follow This Fault Localization Tool's Output? Automated Prediction Of Fault Localization Effectiveness, Tien-Duy B. Le, David Lo, Ferdian Thung

Research Collection School Of Computing and Information Systems

Debugging is a crucial yet expensive activity to improve the reliability of software systems. To reduce debugging cost, various fault localization tools have been proposed. A spectrum-based fault localization tool often outputs an ordered list of program elements sorted based on their likelihood to be the root cause of a set of failures (i.e., their suspiciousness scores). Despite the many studies on fault localization, unfortunately, however, for many bugs, the root causes are often low in the ordered list. This potentially causes developers to distrust fault localization tools. Recently, Parnin and Orso highlight in their user study that many debuggers …

Functionally Suspect: Reconceptualizing "Race" As A Suspect Classification, Lauren Sudeall Lucas

Michigan Journal of Race and Law

In the context of equal protection doctrine, race has become untethered from the criteria underlying its demarcation as a classification warranting heightened scrutiny. As a result, it is no longer an effective vehicle for challenging the existing social and political order; instead, its primary purpose under current doctrine is to signal the presence of an impermissible basis for differential treatment. This Symposium Article suggests that, to more effectively serve its underlying normative goals, equal protection should prohibit not discrimination based on race per se, but government actions that implicate the concerns leading to race’s designation as a suspect classification. For …

Cross-Cultural Emotion Classification Based On Incremental Learning And Lbp-Features, M. Sultan Zia, M. Arfan Jaffar

Applied Mathematics & Information Sciences

A number of studies have shown that facial expression representations are cultural dependent and not universal. Most facial expression recognition (FER) systems use one or two datasets for training and same for testing and show good results. While their performance mortify radically when datasets from different cultures were presented. To keep high accuracy for a long time and for all cultures, a FER system should learn incrementally. We proposed a FER system that can offer incremental learning capability. Local Binary Pattern (LBP) Features are used for Region of Interest (ROI) extraction and classification. We used static images of facial expressions …

Automatic Localization Of Epileptic Spikes In Eegs Of Children With Infantile Spasms, Supachan Traitruengsakul

Theses

Infantile Spasms (ISS) characterized by electroencephalogram (EEG) recordings exhibiting hypsarrythmia (HYPS) are a severe form of epilepsy. Many clinicians have been trying to improve ISS outcomes; however, quantification of discharges from hypsarrythmic EEG readings remains challenging.

This thesis describes the development of a novel method that assists clinicians to successfully localize the epileptic discharges associated with ISS in HYPS. The approach includes: construct the time-frequency domain (TFD) of the EEG recording using matching pursuit TFD (MP-TFD), decompose the TFD matrix into two submatrices using nonnegative matrix factorizations (NMF), and employ the decomposed vectors to locate the spikes.

The proposed method …

A Lexical Approach For Classifying Malicious Urls, Michael Darling

Electrical and Computer Engineering ETDs

Given the continuous growth of illicit activities on the Internet, there is a need for intelligent systems to identify malicious web pages. It has been shown that URL anal- ysis is an e\u21b5ective tool for detecting phishing, malware, and other attacks. Previous studies have performed URL classification using a combination of lexical features, network tra c, hosting information, and other strategies. These approaches require time-intensive lookups which introduce significant delay in real-time systems. This paper describes a lightweight approach for classifying malicious web pages using URL lexical analysis alone. The goal is to explore the upper-bound of the classification accuracy …

An Approach For Combining Airborne Lidar And High-Resolution Aerial Color Imagery Using Gaussian Processes, Yansong Liu, Sildomar Monteiro, Eli S. Saber

Presentations and other scholarship

Changes in vegetation cover, building construction, road network and traffic conditions caused by urban expansion affect the human habitat as well as the natural environment in rapidly developing cities. It is crucial to assess these changes and respond accordingly by identifying man-made and natural structures with accurate classification algorithms. With the increase in use of multi-sensor remote sensing systems, researchers are able to obtain a more complete description of the scene of interest. By utilizing multi-sensor data, the accuracy of classification algorithms can be improved. In this paper, we propose a method for combining 3D LiDAR point clouds and high-resolution …

Queering The Library Of Congress, Carlos R. Fernandez

Works of the FIU Libraries

This poster will attempt to apply the techniques used in Queer Theory to explore library and information science’s use and misuse of library classification systems; and to examine how “queering” these philosophical categories can not only improve libraries, but also help change social constructs.

For millennia, philosophers, such as Plato and Aristotle, have used and expounded upon categories and systems of classification. Their purpose is to make research and the retrieval of information easier. Unfortunately, the rules used to categorize and catalog make information retrieval more challenging for some, due to social constructs such as heteronormality.

The importance of this …

Event And Intrusion Detection Systems For Cyber-Physical Power Systems, Uttam Adhikari

Theses and Dissertations

High speed data from Wide Area Measurement Systems (WAMS) with Phasor Measurement Units (PMU) enables real and non-real time monitoring and control of power systems. The information and communication infrastructure used in WAMS efficiently transports information but introduces cyber security vulnerabilities. Adversaries may exploit such vulnerabilities to create cyber-attacks against the electric power grid. Control centers need to be updated to be resilient not only to well-known power system contingencies but also to cyber-attacks. Therefore, a combined event and intrusion detection systems (EIDS) is required that can provide precise classification for optimal response. This dissertation describes a WAMS cyber-physical power …

A Demographic Threat? Proposed Reclassification Of Arab Americans On The 2020 Census, Khaled A. Beydoun

Michigan Law Review First Impressions

“Arab Americans are white?” This question—commonly posed as a demonstration of shock or surprise—highlights the dissonance between how “Arab” and “white” are discursively imagined and understood in the United States today. These four words also encapsulate the dilemma that currently riddles Arab Americans. The population finds itself interlocked between formal classification as white, and de facto recognition as nonwhite. The Office of Management and Budget (OMB), the government agency that oversees the definition, categorization, and construction of racial categories, currently counts people from the Middle East and North Africa (MENA) as white. The United States Census Bureau (Census Bureau), the …

Rough-Fuzzy Hybrid Approach For Identification Of Bio-Markers And Classification On Alzheimer's Disease Data, Changsu Lee, Chiou-Peng Lam, Martin Masek

Martin Masek

A new approach is proposed in this paper for identification of biomarkers and classification on Alzheimer's disease data by employing a rough-fuzzy hybrid approach called ARFIS (a framework for Adaptive TS-type Rough-Fuzzy Inference Systems). In this approach, the entropy-based discretization technique is employed first on the training data to generate clusters for each attribute with respect to the output information. The rough set-based feature reduction method is then utilized to reduce the number of features in a decision table obtained using the cluster information. Another rough set-based approach is employed for the generation of decision rules. After the construction and …

Statistical Shrinkage Methods For Classification, Prediction, And Feature Extraction Using Genomewide Gene Expression Data And Small Sample Sizes, Behrouz Madahian

Electronic Theses and Dissertations

With advent of new technologies, more data is being collected than ever before. Data is pouring in from every conceivable direction: from operational and transactional systems, from Micro array experiments and Genome Wide Association Studies, from inbound and outbound customer contact points, from mobile media and the Web to mention a few. Researchers and investigators in many fields are faced with the problem of identifying important effects among thousands of variables in high dimensional data sets. This process often results in non or weekly identified effects. Nowadays a common problem when processing data sets with large number of variables compared …

Active Semi-Supervised Approach For Checking App Behavior Against Its Description, Ma Siqi, Shaowei Wang, David Lo, Deng, Robert H., Cong Sun

Research Collection School Of Computing and Information Systems

Mobile applications are popular in recent years. They are often allowed to access and modify users' sensitive data. However, many mobile applications are malwares that inappropriately use these sensitive data. To detect these malwares, Gorla et al. Propose CHABADA which compares app behaviors against its descriptions. Data about known malwares are not used in their work, which limits its effectiveness. In this work, we extend the work by Gorla et al. By proposing an active and semi-supervised approach for detecting malwares. Different from CHABADA, our approach will make use of both known benign and malicious apps to predict other malicious …

Design And Implementation Of A Pivot Shift Prototype For Quantitative Analysis, Marco Antonio Espinoza Sanchez

Electrical and Computer Engineering ETDs

This thesis presents the utilization of a portable medical device intended to help in the diagnosis of the Anterior Cruciate Ligament(ACL) knee injury. The prototype consists of an embedded system integrated with various sensors including accelerometers and gyroscopes to provide force, orientation, and acceleration measurement. The prototype has been used to quantify the results of a medical test called pivot shift which tests the dynamic stability of the patients knee. With the initial prototype built, limited clinical trials were conducted. Two schemes (metric based classification and k nearest neighbors) have been applied to the data set to empirically learn and …

Scrutiny Of The Venire, Scrutiny From The Bench: Smithkline Beecham Corp. V. Abbott Laboratories And The Application Of Heightened Scrutiny To Sexual Orientation Classifications, Parker Williams

Catholic University Law Review

In SmithKline Beecham Corp. v. Abbott Laboratories, the Ninth Circuit Court of Appeals applied heightened scrutiny to a sexual orientation classification. Through SmithKline, the Ninth Circuit became one of the first federal circuit courts to do so explicitly; and by unequivocally applying a more exacting standard than rational basis, it furthered the framework developed in cases such as Romer v. Evans, Lawrence v. Texas, and United States v. Windsor. This Note asserts that SmithKline is a significant victory for the advancement of LGBT rights, as evidenced by its use to strike down several same-sex marriage bans …

An Integrated Neuroimaging Approach For The Prediction And Analysis Of Alzheimer’S Disease And Its Prodromal Stages, Qi Zhou

FIU Electronic Theses and Dissertations

This dissertation proposes to combine magnetic resonance imaging (MRI), positron emission tomography (PET) and a neuropsychological test, Mini-Mental State Examination (MMSE), as input to a multidimensional space for the classification of Alzheimer’s disease (AD) and it’s prodromal stages including amnestic MCI (aMCI) and non-amnestic MCI (naMCI). An assessment is provided on the effect of different MRI normalization techniques on the prediction of AD. Statistically significant variables selected for each combination model were used to construct the classification space using support vector machines. To combine MRI and PET, orthogonal partial least squares to latent structures is used as a multivariate analysis …