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Articles 18571 - 18600 of 25748
Full-Text Articles in Engineering
Asynchronous Logic Design With Increased Fault Tolerance And Optimized For Subthreshold Operation, Ivan Santos
Asynchronous Logic Design With Increased Fault Tolerance And Optimized For Subthreshold Operation, Ivan Santos
Open Access Theses & Dissertations
Synchronization has always been an essential feature in electronic circuits, in which functionality is achieved by an appropriate flow of data with respect to time. An ideal concept of logic design would require every operation to happen instantly; however, the application of this principle to electronics is governed by the laws of physics, which influence the time to execute a process. In fact, the speed at which a microprocessor can perform logic operations is determined by the time that charging and discharging capacitive loads requires, and the time that electric signals spend when traveling through the circuitry. Consequently, the variation …
Querie: Collaborative Database Exploration, Magdalini Eirinaki, S. Abraham, N. Polyzotis, N. Shaikh
Querie: Collaborative Database Exploration, Magdalini Eirinaki, S. Abraham, N. Polyzotis, N. Shaikh
Faculty Publications
Interactive database exploration is a key task in information mining. However, users who lack SQL expertise or familiarity with the database schema face great difficulties in performing this task. To aid these users, we developed the QueRIE system for personalized query recommendations. QueRIE continuously monitors the user’s querying behavior and finds matching patterns in the system’s query log, in an attempt to identify previous users with similar information needs. Subsequently, QueRIE uses these “similar” users and their queries to recommend queries that the current user may find interesting. In this work we describe an instantiation of the QueRIE framework, where …
Book Review: Professional Penetration Testing: Creating And Learning In A Hacking Lab 2e, Joshua Bartolomie
Book Review: Professional Penetration Testing: Creating And Learning In A Hacking Lab 2e, Joshua Bartolomie
Journal of Digital Forensics, Security and Law
Organizations often strive for proactive information security programs in an effort to limit occurrence and impact of security breaches. However, traditional security programs run the risk of being unable to provide adequate insight and proactive awareness into real attack vectors that may exist within their organizations. With attack methods and efforts becoming increasingly aggressive, and effective, organizations must take equally assertive measures to protect their critical information and assets. Penetration testing is one of those tools that is often misunderstood, overlooked, and undervalued. A true adversary would not hesitate to exploit every potential to gain entry or cause a disruption …
Classification Models In Clinical Decision Making, Eleazar Gil-Herrera
Classification Models In Clinical Decision Making, Eleazar Gil-Herrera
USF Tampa Graduate Theses and Dissertations
In this dissertation, we present a collection of manuscripts describing the development of prognostic models designed to assist clinical decision making. This work is motivated by limitations of commonly used techniques to produce accessible prognostic models with easily interpretable and clinically credible results. Such limitations hinder prognostic model widespread utilization in medical practice.
Our methodology is based on Rough Set Theory (RST) as a mathematical tool for clinical data anal- ysis. We focus on developing rule-based prognostic models for end-of life care decision making in an effort to improve the hospice referral process. The development of the prognostic models is …
Prevention And Detection Of Intrusions In Wireless Sensor Networks, Ismail Butun
Prevention And Detection Of Intrusions In Wireless Sensor Networks, Ismail Butun
USF Tampa Graduate Theses and Dissertations
Wireless Sensor Networks (WSNs) continue to grow as one of the most exciting and challenging research areas of engineering. They are characterized by severely constrained computational and energy
resources and also restricted by the ad-hoc network operational
environment. They pose unique challenges, due to limited power
supplies, low transmission bandwidth, small memory sizes and limited energy. Therefore, security techniques used in traditional networks cannot be directly adopted. So, new ideas and approaches are needed, in order to increase the overall security of the network. Security applications in such resource constrained WSNs with minimum overhead provides significant challenges, and is the …
Dynamics And Control Of Higher-Order Nonholonomic Systems, Jaime Rubio HerváS
Dynamics And Control Of Higher-Order Nonholonomic Systems, Jaime Rubio HerváS
Doctoral Dissertations and Master's Theses
A theoretical framework is established for the control of higher-order nonholonomic systems, defined as systems that satisfy higher-order nonintegrable constraints. A model for such systems is developed in terms of differential-algebraic equations defined on a higher-order tangent bundle. A number of control-theoretic properties such as nonintegrability, controllability, and stabilizability are presented. Higher-order nonholonomic systems are shown to be strongly accessible and, under certain conditions, small time locally controllable at any equilibrium. There are important examples of higher-order nonholonomic systems that are asymptotically stabilizable via smooth feedback, including space vehicles with multiple slosh modes and Prismatic-Prismatic-Revolute (PPR) robots moving open liquid …
Nonlinear Control For Dual Quaternion Systems, William D. Price
Nonlinear Control For Dual Quaternion Systems, William D. Price
Doctoral Dissertations and Master's Theses
The motion of rigid bodies includes three degrees of freedom (DOF) for rotation, generally referred to as roll, pitch and yaw, and 3 DOF for translation, generally described as motion along the x, y and z axis, for a total of 6 DOF. Many complex mechanical systems exhibit this type of motion, with constraints, such as complex humanoid robotic systems, multiple ground vehicles, unmanned aerial vehicles (UAVs), multiple spacecraft vehicles, and even quantum mechanical systems. These motions historically have been analyzed independently, with separate control algorithms being developed for rotation and translation. The goal of this research is to study …
Design Of A Highly Portable Data Logging Embedded System For Naturalistic Motorcycle Study, Noureddine Elmehraz
Design Of A Highly Portable Data Logging Embedded System For Naturalistic Motorcycle Study, Noureddine Elmehraz
USF Tampa Graduate Theses and Dissertations
According to Motorcycle Industrial Council (MIC), in USA the number of owned
motorcycle increased during last few years and most likely will keep increasing. However, the
number of the deadly crash accidents associated with motorcycles is on the rise. Although MIC
doesn't explain why the accident rate has increased, the unprotected motorcyclist gear can be one
of the reasons. The most recent National Highway Traffic Safety Administration (NHTSA)
annual report stated that its data analyses are based on their experiences and the best judgment is
not based on solid scientific experiment [3]. Thus, building a framework for the data acquisition …
Indirect Measures Of Learning Transfer Between Real And Virtual Environments, Michael J. Garrett, Mark T. Mcmahon
Indirect Measures Of Learning Transfer Between Real And Virtual Environments, Michael J. Garrett, Mark T. Mcmahon
Research outputs 2013
This paper reports on research undertaken to determine the effectiveness of a 3D simulation environment used to train mining personnel in emergency evacuation procedures, designated the Fires in Underground Mines Evacuation Simulator (FUMES). Owing to the operational constraints of the mining facility, methods for measuring learning transfer were employed which did not require real world performance evaluation. Transfer measures that examined simulator performance relative to real world experience, fidelity assessment, and appraisal of the training value of the platform were utilised. Triangulation of results across all three measures indicated the presence of learning transfer, suggesting the viability of indirect measures …
A Window Of Opportunity: Assessing Behavioural Scoring, Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany, Michael O'Sullivan, Neil Watson
A Window Of Opportunity: Assessing Behavioural Scoring, Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany, Michael O'Sullivan, Neil Watson
Articles
After credit has been granted, lenders use behavioural scoring to assess the likelihood of default occurring during some specific outcome period. This assessment is based on customers’ repayment performance over a given fixed period. Often the outcome period and fixed performance period are arbitrarily selected, causing instability in making predictions. Behavioural scoring has failed to receive the same attention from researchers as application scoring. The bias for application scoring research can be attributed, in part, to the large volume of data required for behavioural scoring studies. Furthermore, the commercial sensitivities associated with such a large pool of customer data often …
A New Simplified Federated Single Sign-On System, Chen Liang
A New Simplified Federated Single Sign-On System, Chen Liang
Masters
The work presented in this MPhil thesis addresses this challenge by developing a new simplified FSSO system that allows end-users to access desktop systems, web-based services/applications and non-web based services/applications using one authentication process. This new system achieves this using two major components: an “Authentication Infrastructure Integration Program (AIIP)" and an “Integration of Desktop Authentication and Web-based Authentication (IDAWA)." The AIIP acquires Kerberos tickets (for end-users who have been authenticated by a Kerberos single sign-on system in one net- work domain) from Kerberos single sign-on systems in different network domains without establishing trust between these Kerberos single sign-on systems. The …
Accelerated Data Delivery Architecture, Michael L. Grecol
Accelerated Data Delivery Architecture, Michael L. Grecol
College of Graduate Studies: Theses & Dissertations
This paper introduces the Accelerated Data Delivery Architecture (ADDA). ADDA establishes a framework to distribute transactional data and control consistency to achieve fast access to data, distributed scalability and non-blocking concurrency control by using a clean declarative interface. It is designed to be used with web-based business applications. This framework uses a combination of traditional Relational Database Management System (RDBMS) combined with a distributed Not Only SQL (NoSQL) database and a browser-based database. It uses a single physical and conceptual database schema designed for a standard RDBMS driven application. The design allows the architect to assign consistency levels to entities …
Application Of Self-Monitoring For Situational Awareness, Christopher Trickler
Application Of Self-Monitoring For Situational Awareness, Christopher Trickler
College of Graduate Studies: Theses & Dissertations
Self-monitoring devices and services are used for physical wellness, personal tracking and self-improvement. These individual devices and services can only provide information based on what they can measure directly or historically without an intermediate system. This paper proposes a self-monitoring system to perform situational awareness which may extend into providing insight into predictable behaviors. Knowing an individual’s current state and likelihood of particular behaviors occurring is a general solution. This knowledge-based solution derived from sensory data has many applications. The proposed system could monitor current individual situational status, automatically provide personal status as it changes, aid personal improvement, contribute to …
Automatic Detection Of Polypoid Skin Lesions: The Squash Sign, Saurabh G. Karnik
Automatic Detection Of Polypoid Skin Lesions: The Squash Sign, Saurabh G. Karnik
Masters Theses
“Earlier detection of malignant melanoma can save lives. Automatic in-vivo methods of melanoma detection including smart-phone applications are now available, but specificity is low, i.e. too many benign lesions are detected as possible melanomas. Polypoids, elevated and rounded lesions are one class of benign lesions. These raised lesions with piecewise circular borders, predominantly intradermal nevi and cutaneous polyps (IDNs), are always benign. Variegated coloring present in polypoid lesions can lead physicians to perform an unneeded biopsy. Contact dermatoscope plates with gel squash these lesions, leaving a “squash sign” marker of benignancy which can be automatically detected. We present a method …
Effect Of Hydrodynamic Force On Microcantilever Vibrations: Applications To Liquid-Phase Chemical Sensing, I. Dufour, E. Lemaire, B. Caillard, H. Debeda, C. Lucat, Stephen M. Heinrich, Fabien Josse, O. Brand
Effect Of Hydrodynamic Force On Microcantilever Vibrations: Applications To Liquid-Phase Chemical Sensing, I. Dufour, E. Lemaire, B. Caillard, H. Debeda, C. Lucat, Stephen M. Heinrich, Fabien Josse, O. Brand
Electrical and Computer Engineering Faculty Research and Publications
At the microscale, cantilever vibrations depend not only on the microstructure’s properties and geometry but also on the properties of the surrounding medium. In fact, when a microcantilever vibrates in a fluid, the fluid offers resistance to the motion of the beam. The study of the influence of the hydrodynamic force on the microcantilever’s vibrational spectrum can be used to either (1) optimize the use of microcantilevers for chemical detection in liquid media or (2) extract the mechanical properties of the fluid. The classical method for application (1) in gas is to operate the microcantilever in the dynamic transverse bending …
Time Resolved Gain And Excess Noise Properties Of Ingaas/Inalas Avalanche Photodiodes With Cascaded Discrete Gain Layer Multiplication Regions, Georges M. Williams, David A. Ramirez, Majeed M. Hayat, Andrew S. Huntington
Time Resolved Gain And Excess Noise Properties Of Ingaas/Inalas Avalanche Photodiodes With Cascaded Discrete Gain Layer Multiplication Regions, Georges M. Williams, David A. Ramirez, Majeed M. Hayat, Andrew S. Huntington
Electrical and Computer Engineering Faculty Research and Publications
To predict pulse detection performance when implemented in high speed photoreceivers, temporally resolved measurements of a 10-stage InAlAs/InGaAs single carrier multiplication (SCM) avalanche photodiode (APD)'s avalanche response to short multi-photon laser pulses were explained using instantaneous (time resolved) pulse height statistics of the device's impulse response. Numeric models of the junction carrier populations as a function of the time following injection of a primary photo-electron were used to create the probability density functions (pdfs) of the instances of the avalanche buildup process. The numeric pdfs were used to generate low frequency gain and excess noise models, which were in good …
Forecasting Natural Gas Demand For Electric Power Generation, Ronald H. Brown, George Corliss, Richard J. Povinelli
Forecasting Natural Gas Demand For Electric Power Generation, Ronald H. Brown, George Corliss, Richard J. Povinelli
Electrical and Computer Engineering Faculty Research and Publications
No abstract provided.
Communication Protocols For Integrated Fiber Optic Sensor Interrogator, Tameem Ahmed Khan
Communication Protocols For Integrated Fiber Optic Sensor Interrogator, Tameem Ahmed Khan
Masters Theses
"Fiber optic sensors have gained rapid recognition in sensing environmental factors such as strain, stress, acoustics, pressure, temperature among emerging other sensing applications. Major advantages of fiber based systems are small size, light weight, multiplex-ability of sensors on a single fiber, and immunity to Radio Frequency (RF) interference. However, single most major disadvantage of such technology is that traditionally the interrogation systems are typically bulky and heavy lab only equipment. Embed-ability of sensors into different structures and environments requires that the whole systems (sensors + interrogator) be small, modular and portable. This thesis presents such a custom Fiber optic Sensor …
Trough-Silicon-Via Inductor: Is It Real Or Just A Fantasy?, Rongbo Yang
Trough-Silicon-Via Inductor: Is It Real Or Just A Fantasy?, Rongbo Yang
Masters Theses
"Through-silicon-vias (TSVs) can potentially be used to implement inductors in three-dimensional (3D) integrated system for minimal footprint and large inductance. However, different from conventional 2D spiral inductor, TSV inductors are buried in lossy substrate, thus suffering from low quality factors. This thesis presents how various process and design parameters affect their performance. A few interesting phenomena that are unique to TSV inductors are observed. We then proposed a novel shield mechanism utilizing the micro-channel, a technique conventionally used for heat removal, to reduce the substrate loss. The technique increases the quality factor and inductance of the TSV inductor by up …
Robustness Of Speech Quality Metrics To Background Noise And Network Degradations: Comparing Visqol, Pesq And Polqa, Andrew Hines, Naomi Harte, Jan Skoglund, Anil Kokaram
Robustness Of Speech Quality Metrics To Background Noise And Network Degradations: Comparing Visqol, Pesq And Polqa, Andrew Hines, Naomi Harte, Jan Skoglund, Anil Kokaram
Conference papers
The Virtual Speech Quality Objective Listener (ViSQOL) is a new objective speech quality model. It is a signal based full reference metric that uses a spectro-temporal measure of similarity between a reference and a test speech signal. ViSQOL aims to predict the overall quality of experience for the end listener whether the cause of speech quality degradation is due to ambient noise, or transmission channel degradations. This paper describes the algorithm and tests the model using two speech corpora: NOIZEUS and E4. The NOIZEUS corpus contains speech under a variety of background noise types, speech enhancement methods, and SNR levels. …
Detailed Comparative Analysis Of Pesq And Visqol Behaviour In The Context Of Playout Delay Adjustments Introduced By Voip Jitter Buffer Algorithms, Andrew Hines, Peter Pocta, Hugh Melvin
Detailed Comparative Analysis Of Pesq And Visqol Behaviour In The Context Of Playout Delay Adjustments Introduced By Voip Jitter Buffer Algorithms, Andrew Hines, Peter Pocta, Hugh Melvin
Conference papers
The default best-effort Internet presents significant challenges for delay-sensitive applications such as VoIP. To cope with non determinism, receiver playout strategies are utilised in VoIP applications that adapt to network condition. Such strategies can be divided into two different groups, namely per-talkspurt and per-packet. The former make use of silence periods within natural speech and adapt such silences to track network conditions, thus preserving the integrity of active speech talkspurts. Examples of this approach are described in [1, 2]. Per packet strategies are different in that adjustments are made both during silence periods and during talkspurts by time-scaling of packets, …
Monitoring The Effects Of Temporal Clipping On Voip Speech Quality, Andrew Hines, Naomi Harte, Jan Skoglund, Anil Kokaram
Monitoring The Effects Of Temporal Clipping On Voip Speech Quality, Andrew Hines, Naomi Harte, Jan Skoglund, Anil Kokaram
Conference papers
This paper presents work on a real-time temporal clipping monitoring tool for VoIP. Temporal clipping can occur as a result of voice activity detection (VAD) or echo cancellation where comfort noise in used in place of clipped speech segments. The algorithm presented will form part of a no-reference objective model for quantifying perceived speech quality in VoIP. The overall approach uses a modular design that will help pinpoint the reason for degradations in addition to quantifying their impact on speech quality. The new algorithm was tested for VAD compared over a range of thresholds and varied speech frame sizes. The …
Expecting The Unexpected : Measuring Uncertainties In Mobile Robot Path Planning In Dynamic Envionments, Yan Li, Brian Mac Namee, John D. Kelleher
Expecting The Unexpected : Measuring Uncertainties In Mobile Robot Path Planning In Dynamic Envionments, Yan Li, Brian Mac Namee, John D. Kelleher
Conference papers
Unexpected obstacles pose significant challenges to mobile robot navigation. In this paper we investigate how, based on the assumption that unexpected obstacles really follow patterns that can be exploited, a mobile robot can learn the locations within an environment that are likely to contain obstacles, and so plan optimal paths by avoiding these locations in subsequent navigation tasks. We propose the DUNC (Dynamically Updating Navigational Confidence) method to do this. We evaluate the performance of the DUNC method by comparing it with existing methods in a large number of randomly generated simulated test environments. our evaluations show that, by learning …
Uterine Cervical Cancer Histology Image Feature Extraction And Classification, Cheng Lu
Uterine Cervical Cancer Histology Image Feature Extraction And Classification, Cheng Lu
Masters Theses
"Cervical cancer, the second most common cancer affecting women worldwide and the most common in developing countries can be cured in almost all patients, if detected early and treated. However, cervical cancer incidence and mortality remain high in resource-poor regions, where early detection systems often cannot be maintained because of inherent complexity. The National Cancer Institute (NCI) has collected a vast amount of visual information, 100,000 cervigrams (35 mm color slides), screening thousands of women by this technique. In addition to the cervigrams, large digitized histology images are being archived.
In this research, a framework for automatic recognition and classification …
Performance Evaluation Of Data Intensive Computing In The Cloud, Bhagavathi Kaza
Performance Evaluation Of Data Intensive Computing In The Cloud, Bhagavathi Kaza
UNF Graduate Theses and Dissertations
Big data is a topic of active research in the cloud community. With increasing demand for data storage in the cloud, study of data-intensive applications is becoming a primary focus. Data-intensive applications involve high CPU usage for processing large volumes of data on the scale of terabytes or petabytes. While some research exists for the performance effect of data intensive applications in the cloud, none of the research compares the Amazon Elastic Compute Cloud (Amazon EC2) and Google Compute Engine (GCE) clouds using multiple benchmarks. This study performs extensive research on the Amazon EC2 and GCE clouds using the TeraSort, …
Performance Evaluation Of Linq To Hpc And Hadoop For Big Data, Ravishankar Sivasubramaniam
Performance Evaluation Of Linq To Hpc And Hadoop For Big Data, Ravishankar Sivasubramaniam
UNF Graduate Theses and Dissertations
There is currently considerable enthusiasm around the MapReduce paradigm, and the distributed computing paradigm for analysis of large volumes of data. The Apache Hadoop is the most popular open source implementation of MapReduce model and LINQ to HPC is Microsoft's alternative to open source Hadoop. In this thesis, the performance of LINQ to HPC and Hadoop are compared using different benchmarks.
To this end, we identified four benchmarks (Grep, Word Count, Read and Write) that we have run on LINQ to HPC as well as on Hadoop. For each benchmark, we measured each system’s performance metrics (Execution Time, Average CPU …
An Evaluation Of De-Embedding Techniques For Tsvs, Nicholas Garrett Erickson
An Evaluation Of De-Embedding Techniques For Tsvs, Nicholas Garrett Erickson
Masters Theses
"One of the most important aspects of modern electronic designs is device measurement and characterization. Without device measurement and characterization, the functionality of end designs cannot be guaranteed. At the silicon level (on-wafer), extracting the electrical performance of devices and structures has grown increasingly more complex with the continual shrink of feature sizes. Compared to the overall measurement setup (VNA, cables, probes, interposers, etc.), the ultra small size of on-wafer structures leads to their electrical performance being easily overshadowed by other, larger fixtures. Thus, many scientists and engineers have worked to devise ever more accurate calibration and de-embedding techniques for …
Fuzzy Logic Color Detection: Blue Areas In Dermoscopy Melanoma Images, Mounika Lingala
Fuzzy Logic Color Detection: Blue Areas In Dermoscopy Melanoma Images, Mounika Lingala
Masters Theses
"Malignant melanoma is one of the deadliest forms of skin cancer and is one of the most rapidly increasing cancers in the world. Image analysis techniques for the early detection of melanoma are dependent upon the detection of multiple color shades in melanoma images. Use of magnified visible-light imaging by dermoscopy allows detailed investigation of these color shades. This research explores the fuzzy logic methods for the detection and characterization of blue color shades to discriminate melanoma from benign skin lesions. Standard thresholds are placed on the RGB dermoscopy images firstly and then the restrictiveness is explored by implementing fuzzy …
Science Column: Reconstruction: The Experimental Side Of Digital Forensics, Fred Cohen
Science Column: Reconstruction: The Experimental Side Of Digital Forensics, Fred Cohen
Journal of Digital Forensics, Security and Law
Many in digital forensics seem to forget that the science part of digital forensics means experimentation and that implies a whole lot of things that most practitioners never learned.
Analysis Of A Second Hand Google Mini Search Appliance, Stephen Larson
Analysis Of A Second Hand Google Mini Search Appliance, Stephen Larson
Journal of Digital Forensics, Security and Law
Information and the technological advancements for which mankind develops with regards to its storage has increased tremendously over the past few decades. As the total amount of data stored rapidly increases in conjunction with the amount of widely available computer-driven devices being used, solutions are being developed to better harness this data (LaTulippe, 2011). One of these solutions is commonly known as a search appliance. Search appliances have been used in e-discovery for several years. The Google Mini Search Appliance (Mini) has not only been used for e-discovery, but for indexing and searching internal documents. To accomplish these tasks, search …