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Articles 271 - 300 of 378
Full-Text Articles in Computer Sciences
Pedestrian Detection In Low Quality Moving Camera Videos, Saurabh Hinduja
Pedestrian Detection In Low Quality Moving Camera Videos, Saurabh Hinduja
USF Tampa Graduate Theses and Dissertations
Pedestrian detection is one of the most researched areas in computer vision and is rapidly gaining importance with the emergence of autonomous vehicles and steering assistance technology. Much work has been done in this field, ranging from the collection of extensive datasets to benchmarking of new technologies, but all the research depends on high-quality hardware such as high-resolution cameras, Light Detection and Ranging (LIDAR) and radar.
For detection in low-quality moving camera videos, we use image deblurring techniques to reconstruct image frames and use existing pedestrian detection algorithms and compare our results with the leading research done in this area.
Parallelization Of Push-Based System For Molecular Simulation Data Analysis With Gpu, Iliiazbek Akhmedov
Parallelization Of Push-Based System For Molecular Simulation Data Analysis With Gpu, Iliiazbek Akhmedov
USF Tampa Graduate Theses and Dissertations
Modern simulation systems generate big amount of data, which consequently has to be analyzed in a timely fashion. Traditional database management systems follow principle of pulling the needed data, processing it, and then returning the results. This approach is then optimized by means of caching, storing in different structures, or doing some sacrifices on precision of the results to make it faster. When it comes to the point of doing various queries that require analysis of the whole data, this design has the following disadvantages: considerable overhead on traditional disk random I/O framework while reading from the simulation output files …
Efficient Algorithms And Applications In Topological Data Analysis, Junyi Tu
Efficient Algorithms And Applications In Topological Data Analysis, Junyi Tu
USF Tampa Graduate Theses and Dissertations
Topological Data Analysis (TDA) is a new and fast growing research field developed over last two decades. TDA finds many applications in computer vision, computer graphics, scientific visualization, molecular biology, and material science, to name a few. In this dissertation, we make algorithmic and application contributions to three data structures in TDA: contour trees, Reeb graphs, and Mapper. From the algorithmic perspective, we design a parallel algorithm for contour tree construction and implement it in OpenCL. We also design and implement critical point pairing algorithms to compute persistence diagrams directly from contour trees, Reeb graphs, and Mapper. In terms of …
Authentication In Wireless Body Area Networks (Wban), Nagalaxmi Yenuganti
Authentication In Wireless Body Area Networks (Wban), Nagalaxmi Yenuganti
USF Tampa Graduate Theses and Dissertations
With the advancements in technology and computing environment capabilities, the number of devices that people carry has increased exponentially. This increase initially occurred as a result of necessity to monitor the human body condition due to chronic diseases, heart problems etc. Later, individuals’ interest was drawn towards self-monitoring their physiology and health care. This is achieved by implanting various sensors that can proactively monitor the human body based on medical necessity and the health condition of the user. Sensors connected on a human body perceive phenomena such as locomotion or heartbeat, and act accordingly to form a Body Area Network. …
A Smartphone-Based System For Clinical Gait Assessment, Andres Alfredo Perez Leon
A Smartphone-Based System For Clinical Gait Assessment, Andres Alfredo Perez Leon
USF Tampa Graduate Theses and Dissertations
Patients with lower limbs problems are an increasing population in the US and many of them require surgery and its subsequent post-op Physical Therapy (PT). For all these patients, tracking their progress and evolution towards full recovery is very important. To assess the patients and track their progress, patients are usually required to perform very specific tests administered by a physical therapist. These tests either require very expensive equipment or rather require the subjective experience of the physical therapist who administer them. One of these tests is the Functional Gait Assessment (FGA) test, perhaps the most widely adopted one for …
Impact Of Visualization On Engineers – A Survey, Dhaval Kashyap Shah
Impact Of Visualization On Engineers – A Survey, Dhaval Kashyap Shah
USF Tampa Graduate Theses and Dissertations
In the recent years, there has been a tremendous growth in data. Numerous research and technologies have been proposed and developed in the field of Visualization to cope with the associated data analytics. Despite these new technologies, the pace of people’s capacity to perform data analysis has not kept pace with the requirement. Past literature has hinted as to various reasons behind this disparity. The purpose of this research is to demonstrate specifically the usage of Visualization in the field of engineering. We conducted the research with the help of a survey identifying the places where Visualization educational shortcomings may …
Oversampling Methods For Imbalanced Dataset Classification And Their Application To Gynecological Disorder Diagnosis, Iman Nekooeimehr
Oversampling Methods For Imbalanced Dataset Classification And Their Application To Gynecological Disorder Diagnosis, Iman Nekooeimehr
USF Tampa Graduate Theses and Dissertations
In many applications, the dataset for classification may be highly imbalanced where most of the instances in the training set may belong to some of the classes (majority classes), while only a few instances are from the other classes (minority classes). Conventional classifiers will strongly favor the majority class and ignore the minority instances. The imbalance problem can occur in both binary data classification and also in ordinal regression. Ordinal regression is a supervised approach for learning the ordinal relationship between classes. Extensive research has been performed for addressing imbalanced datasets for binary classification; however, current methods do not address …
Enforcing Security Policies On Gpu Computing Through The Use Of Aspect-Oriented Programming Techniques, Bader Albassam
Enforcing Security Policies On Gpu Computing Through The Use Of Aspect-Oriented Programming Techniques, Bader Albassam
USF Tampa Graduate Theses and Dissertations
This thesis presents a new security policy enforcer designed for securing parallel computation on CUDA GPUs. We show how the very features that make a GPGPU desirable have already been utilized in existing exploits, fortifying the need for security protections on a GPGPU. An aspect weaver was designed for CUDA with the goal of utilizing aspect-oriented programming for security policy enforcement. Empirical testing verified the ability of our aspect weaver to enforce various policies. Furthermore, a performance analysis was performed to demonstrate that using this policy enforcer provides no significant performance impact over manual insertion of policy code. Finally, future …
Fast Computation On Processing Data Warehousing Queries On Gpu Devices, Sam Cyrus
Fast Computation On Processing Data Warehousing Queries On Gpu Devices, Sam Cyrus
USF Tampa Graduate Theses and Dissertations
Current database management systems use Graphic Processing Units (GPUs) as dedicated accelerators to process each individual query, which results in underutilization of GPU. When a single query data warehousing workload was run on an open source GPU query engine, the utilization of main GPU resources was found to be less than 25%. The low utilization then leads to low system throughput. To resolve this problem, this paper suggests a way to transfer all of the desired data into the global memory of GPU and keep it until all queries are executed as one batch. The PCIe transfer time from CPU …
Digital Integration, Jacob C. Boccio
Digital Integration, Jacob C. Boccio
USF Tampa Graduate Theses and Dissertations
Artificial intelligence is an emerging technology; something far beyond smartphones, cloud integration, or surgical microchip implantation. Utilizing the work of Ray Kurzweil, Nick Bostrom, and Steven Shaviro, this thesis investigates technology and artificial intelligence through the lens of the cinema. It does this by mapping contemporary concepts and the imagined worlds in film as an intersection of reality and fiction that examines issues of individual identity and alienation. I look at a non-linear timeline of films involving machine advancement, machine intelligence, and stages of post-human development; Elysium (2013) and Surrogates (2009) are about technology as an extension of the self, …
Secure Communication Scheme In Smart Home Environment, Hari Krishna Jonnalagadda
Secure Communication Scheme In Smart Home Environment, Hari Krishna Jonnalagadda
USF Tampa Graduate Theses and Dissertations
Internet of Things, has started to mark its existence from past few years. Right from its inception with a coke machine at Carnegie Mellon University, it has come a long way, connecting billions of devices to internet. This journey is well supported by the advancements in networking, hardware miniaturization and sensing capabilities. Diverse nature of applications of Internet of Things, has cut the communication barriers between the varieties of fields ranging from manufacturing industry to health-care industry. Smart Home is one such application of Internet of Things. Connectivity of home appliances, to achieve automation in living, defines Smart Home. Out …
Video Data Collection For Continuous Identity Assurance, Janani Venkatesan
Video Data Collection For Continuous Identity Assurance, Janani Venkatesan
USF Tampa Graduate Theses and Dissertations
Frequently monitoring the identity of a person connected to a secure system is an important component in a cyber-security system. Identity Assurance (IA) mechanisms which continuously confirm and verify users’ identity after the initial authentication process ensure integrity and security. Such systems prevent unauthorized access and eliminate the need of an authorized user to present credentials repeatedly for verification. Very few cyber-security systems deploy such IA modules. These IA modules are typically based on computer vision and machine learning algorithms. These algorithms work effectively when trained with representative datasets. This thesis describes our effort at collecting a small dataset of …
Blind And Visually Impaired Users Adaptation To Web Environments: A Qualitative Study, Raneem Saqr
Blind And Visually Impaired Users Adaptation To Web Environments: A Qualitative Study, Raneem Saqr
USF Tampa Graduate Theses and Dissertations
Although much research exists on human behavior in online environments, research on users with disabilities is still rare. To draw more attention to this population, this dissertation explored browsing patterns and adaptive behaviors of people with visual disability across different online environments common in daily activities: social network, e-commerce, online information, and search engines’ websites. The main objective of this study is to propose a conceptual framework of how blind and visually impaired users browse and adapt to different web environments. We achieve this objective using a qualitative approach through three studies. In the first study, the researchers collect data …
Msspark: Implementation Of Molecular Simulation Queries Using Apache Spark, Parneet Kaur
Msspark: Implementation Of Molecular Simulation Queries Using Apache Spark, Parneet Kaur
USF Tampa Graduate Theses and Dissertations
Huge amount of data is being generated in almost every field and it cannot be avoided, rather is essential for the advancement of the field. Analysis of this data requires intensive computing power. Molecular Simulation is a powerful tool for understanding the behavior of natural systems. The simulation generates large amount data while observing the spatial and temporal relationships. The challenge is to handle the analytical queries that are often compute intensive.
Although various tools exist to tackle this problem, but in this paper we have tried an alternate approach that uses Apache Spark- a modern big data platform – …
A Communication Protocol For Nanogrids And Its Application In Off-Grid Rural Areas Of Developing Countries, Sowmya Srikanth
A Communication Protocol For Nanogrids And Its Application In Off-Grid Rural Areas Of Developing Countries, Sowmya Srikanth
USF Tampa Graduate Theses and Dissertations
In a developing country such as India, 44% of the population does not have access to power and for many others, the power supply is unreliable. A nanogrid, defined as “a single domain for voltage, reliability and administration”, is a possible solution to distribute power to such off-grid areas. Built from the bottom up, nanogrids have the ability to function independently, using locally generated power (such as solar power) as the power source. Such grids enable residents to lead more productive lives, with improved access to power. This thesis designs a new communication protocol for nanogrids to enable matching demand …
Determining The Effectiveness Of Soil Treatment On Plant Stress Using Smart-Phone Cameras, Anurag Panwar
Determining The Effectiveness Of Soil Treatment On Plant Stress Using Smart-Phone Cameras, Anurag Panwar
USF Tampa Graduate Theses and Dissertations
Plants are vital to the health of our biosphere, and effectively sustaining their growth is fundamental to the existence of life on this planet. A critical aspect, which decides the sustainability of plant growth is the quality of soil. All other things being fixed, the quality of soil greatly impacts the plant stress, which in turn impacts overall health. Although plant stress manifests in many ways, one of the clearest indicators are colors of the leaves. In this thesis, we conducted an experimental study in a greenhouse for detecting plant stress caused by nutrient deficienceies in soil using smartphone cameras, …
The Role Of Social Ties In Dynamic Networks, Xiang Zuo
The Role Of Social Ties In Dynamic Networks, Xiang Zuo
USF Tampa Graduate Theses and Dissertations
Social networks are everywhere, from face-to-face activities to online social networks such as Flickr, YouTube and Facebook. In social networks, ties (relationships) are connections between people. The change of social relationships over time consequently leads to the evolution of the social network structure. At the same time, ties serve as carriers to transfer pieces of information from one person to another.
Studying social ties is critical to understanding the fundamental processes behind the network. Although many studies on social networks have been carried out over the last many decades, most of the work either used small in-lab datasets, or focused …
Design Exploration And Application Of Reversible Circuits In Emerging Technologies, Saurabh Kotiyal
Design Exploration And Application Of Reversible Circuits In Emerging Technologies, Saurabh Kotiyal
USF Tampa Graduate Theses and Dissertations
The reversible logic has promising applications in emerging computing paradigms, such as quantum computing, quantum dot cellular automata, optical computing, etc. In reversible logic gates, there is a unique one-to-one mapping between the inputs and outputs. To generate a useful gate function, the reversible gates require some constant ancillary inputs called ancilla inputs. Also to maintain the reversibility of the circuits some additional unused outputs are required that are referred to as the garbage outputs. The number of ancilla inputs, the number of garbage outputs and quantum cost plays an important role in the evaluation of reversible circuits. Thus minimizing …
A Quantified Model Of Security Policies, With An Application For Injection-Attack Prevention, Donald James Ray
A Quantified Model Of Security Policies, With An Application For Injection-Attack Prevention, Donald James Ray
USF Tampa Graduate Theses and Dissertations
This dissertation generalizes traditional models of security policies, from specifications of whether programs are secure, to specifications of how secure programs are. This is a generalization from qualitative, black-and-white policies to quantitative, gray policies. Included are generalizations from traditional definitions of safety and liveness policies to definitions of gray-safety and gray-liveness policies. These generalizations preserve key properties of safety and liveness, including that the intersection of safety and liveness is a unique allow-all policy and that every policy can be written as the conjunction of a single safety and a single liveness policy. It is argued that the generalization provides …
Modeling And Survival Analysis Of Breast Cancer: A Statistical, Artificial Neural Network, And Decision Tree Approach, Venkateswara Rao Mudunuru
Modeling And Survival Analysis Of Breast Cancer: A Statistical, Artificial Neural Network, And Decision Tree Approach, Venkateswara Rao Mudunuru
USF Tampa Graduate Theses and Dissertations
Survival analysis today is widely implemented in the fields of medical and biological sciences, social sciences, econometrics, and engineering. The basic principle behind the survival analysis implies to a statistical approach designed to take into account the amount of time utilized for a study period, or the study of time between entry into observation and a subsequent event. The event of interest pertains to death and the analysis consists of following the subject until death. Events or outcomes are defined by a transition from one discrete state to another at an instantaneous moment in time. In the recent years, research …
Label Noise Cleaning Using Support Vector Machines, Rajmadhan Ekambaram
Label Noise Cleaning Using Support Vector Machines, Rajmadhan Ekambaram
USF Tampa Graduate Theses and Dissertations
Mislabeled examples affect the performance of supervised learning algorithms. Two novel approaches to this problem are presented in this Thesis. Both methods build on the hypothesis that the large margin and the soft margin principles of support vector machines provide the characteristics to select mislabeled examples. Extensive experimental results on several datasets support this hypothesis. The support vectors of the one-class and two-class SVM classifiers captures around 85% and 99% of the randomly generated label noise examples (10% of the training data) on two character recognition datasets. The numbers of examples that need to be reviewed can be reduced by …
Predictive Analytics Of Organizational Decisions And The Role Of Rationality, Arash Barfar
Predictive Analytics Of Organizational Decisions And The Role Of Rationality, Arash Barfar
USF Tampa Graduate Theses and Dissertations
How can we predict key decisions made by organizations in the presence of big data and on-demand information? In this dissertation we exploit a large repository of B2B real-time transactional data with service quality indicators and present evidence that organizational decision analytics apply both rational and boundedly-rational (i.e. behavioral) economic models. The dissertation’s findings demonstrate that both utility and heuristic models, respectively, play significant roles in predicting organizational decisions on churn, a key decision in this context. In the presence of a large data set the assumed rationality of organizations appears to provide accurate predictions in uncontrolled experiences and selected …
Direct Solutions To Perceptual Organization Problems, Ravi Kumar Panchumarthy
Direct Solutions To Perceptual Organization Problems, Ravi Kumar Panchumarthy
USF Tampa Graduate Theses and Dissertations
Quadratic optimization problems arise in various real world application domains including engineering design, microeconomics, genetic algorithms, integrated circuit chip design, probabilistic graphical models and computer vision. In particular, there are many problems in computer vision that require binary quadratic optimization such as motion segmentation, correspondences, figure-ground segmentation, clustering, grouping, subgraph matching, and digital matting. The objective of an optimization algorithm can be related to the state of a physical system, where the goal is to bring the initial arbitrary state of the system to a state with minimum possible energy. By recognizing that the Hamiltonian of nanomagnets can be expressed …
Content Abuse And Privacy Concerns In Online Social Networks, Md Imrul Kayes
Content Abuse And Privacy Concerns In Online Social Networks, Md Imrul Kayes
USF Tampa Graduate Theses and Dissertations
Online Social Networks (OSNs) have seen an exponential growth over the last decade, with Facebook having more than 1.49 billion monthly active users and Twitter having 135,000 new users signing up every day as of 2015. Users are sharing 70 million photos per day on the Instagram photo-sharing network. Yahoo Answers question-answering community has more than 1 billion posted answers. The meteoric rise in popularity has made OSNs important social platforms for computer-mediated communications and embedded themselves into society’s daily life, with direct consequences to the offline world and activities. OSNs are built on a foundation of trust, where users …
Computational Methods For Biomarker Identification In Complex Disease, Amin Ahmadi Adl
Computational Methods For Biomarker Identification In Complex Disease, Amin Ahmadi Adl
USF Tampa Graduate Theses and Dissertations
In a modern systematic view of biology, cell functions arise from the interaction between molecular components. One of the challenging problems in systems biology with high-throughput measurements is discovering the important components involved in the development and progression of complex diseases, which may serve as biomarkers for accurate predictive modeling and as targets for therapeutic purposes. Due to the non-linearity and heterogeneity of these complex diseases, traditional biomarker identification approaches have had limited success at finding clinically useful biomarkers. In this dissertation we propose novel methods for biomarker identification that explicitly take into account the non-linearity and heterogeneity of complex …
Precise Detection Of Injection Attacks On Concrete Systems, Clayton Whitelaw
Precise Detection Of Injection Attacks On Concrete Systems, Clayton Whitelaw
USF Tampa Graduate Theses and Dissertations
Injection attacks, including SQL injection, cross-site scripting, and operating system command injection, rank the top two entries in the MITRE Common Vulnerability Enumeration (CVE) [1]. Under this attack model, an application (e.g., a web application) uses some untrusted input to produce an output program (e.g., a SQL query). Applications may be vulnerable to injection attacks because the untrusted input may alter the output program in malicious ways. Recent work has established a rigorous definition of injection attacks. Injections are benign iff they obey the NIE property, which states that injected symbols strictly insert or expand noncode tokens in the output …
A Comparative Study Of Formal Verification Techniques For Authentication Protocols, Hernan Miguel Palombo
A Comparative Study Of Formal Verification Techniques For Authentication Protocols, Hernan Miguel Palombo
USF Tampa Graduate Theses and Dissertations
Protocol verification is an exciting area of network security that intersects engineering and formal methods. This thesis presents a comparison of formal verification tools for security protocols for their respective strengths and weaknesses supported by the results from several case studies. The formal verification tools considered are based on explicit model checking (SPIN), symbolic analysis (Proverif) and theorem proving (Coq). We formalize and provide models of several well-known authentication and key-establishment protocols in each of the specification languages, and use the tools to find attacks that show protocols insecurity. We contrast the modelling process on each of the tools by …
Embedded System Design Of A Real-Time Parking Guidance System, Omkar Dokur
Embedded System Design Of A Real-Time Parking Guidance System, Omkar Dokur
USF Tampa Graduate Theses and Dissertations
The primary objective of this work is to design a parking guidance system to reliably detect entering/exiting vehicles to a parking garage in a cost-efficient manner. Existing solutions (inductive loops, RFID based systems, and video image processors) at shopping malls, universities, airports etc., are expensive due to high installation and maintenance costs. There is a need for a parking guidance system that is reliable, accurate, and cost-effective. The proposed parking guidance system is designed to optimize the use of parking spaces and to reduce wait times. Based on a literature review we identify that the ultrasonic sensor is suitable to …
Developing A Compiler For A Regular Expression Based Policy Specification Language, Cory Michael Juhlin
Developing A Compiler For A Regular Expression Based Policy Specification Language, Cory Michael Juhlin
USF Tampa Graduate Theses and Dissertations
Security policy specification languages are a response to today's complex and vulnerable software climate. These languages allow an individual or organization to restrict and modify the behavior of third-party applications such that they adhere to the rules specified in the policy. As software grows in complexity, so do the security policies that govern them. Existing policy specification languages have not adapted to the growing complexity of the software they govern and as a result do not scale well, often resulting in code that is overly complex or unreadable. Writing small, isolated policies as separate modules and combining them is known …
Blindcanseeql: Improved Blind Sql Injection For Db Schema Discovery Using A Predictive Dictionary From Web Scraped Word Based Lists, Ryan Wheeler
USF Tampa Graduate Theses and Dissertations
SQL Injections are still a prominent threat on the web. Using a custom built tool, BlindCanSeeQL (BCSQL), we will explore how to automate Blind SQL attacks to discover database schema using fewer requests than the standard methods, thus helping avoid detection from overloading a server with hits. This tool uses a web crawler to discover keywords that assist with autocompleting schema object names, along with improvements in ASCII bisection to lower the number of requests sent to the server. Along with this tool, we will discuss ways to prevent and protect against such attacks.