Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (1413)
- Physical Sciences and Mathematics (1255)
- Environmental Sciences (427)
- Electrical and Computer Engineering (422)
- Computer Sciences (407)
-
- Electrical and Electronics (385)
- Mechanical Engineering (277)
- Chemical Engineering (250)
- Education (189)
- Business (180)
- Biomedical Engineering and Bioengineering (177)
- Chemistry (156)
- Life Sciences (155)
- Physics (140)
- Civil and Environmental Engineering (124)
- Arts and Humanities (93)
- Mathematics (73)
- Operations Research, Systems Engineering and Industrial Engineering (72)
- Civil Engineering (61)
- Sustainability (56)
- Social and Behavioral Sciences (55)
- Medicine and Health Sciences (53)
- Environmental Engineering (49)
- Databases and Information Systems (48)
- Information Security (48)
- Manufacturing (48)
- Other Physics (46)
- Computer Engineering (45)
- Business Administration, Management, and Operations (44)
- Water Resource Management (42)
- Institution
-
- Rochester Institute of Technology (3079)
- New Jersey Institute of Technology (1746)
- United Arab Emirates University (597)
- Munster Technological University (304)
- University of Alabama in Huntsville (247)
-
- Lindenwood University (226)
- North Carolina Agricultural and Technical State University (99)
- Southern Illinois University Carbondale (79)
- University of Missouri, St. Louis (66)
- The University of Notre Dame Australia (63)
- University of San Diego (33)
- Jacksonville State University (23)
- Technological University Dublin (20)
- Seton Hall University (12)
- University of North Alabama (11)
- St. Mary's University (7)
- Sigma Theta Tau International Honor Society of Nursing (1)
- Zayed University (1)
- Keyword
-
- None provided (236)
- Machine learning (131)
- Thesis (85)
- Imaging science (79)
- Mechanical engineering (76)
-
- Computer vision (60)
- Deep learning (57)
- Printing (47)
- Image processing (44)
- Remote sensing (39)
- Simulation (39)
- Artificial intelligence (37)
- Computer graphics (36)
- Finite element method (36)
- Education (35)
- Optimization (35)
- Computer engineering (32)
- Cryptography (32)
- Graphic design (30)
- Modeling (29)
- Design (26)
- Image quality (26)
- Security (26)
- Electrical engineering (24)
- Photography (24)
- Machine Learning (23)
- Algorithms (21)
- Hyperspectral (21)
- Sliding mode control (21)
- Computer science (20)
- Publication Year
- Publication Type
Articles 2941 - 2970 of 6614
Full-Text Articles in Entire DC Network
Evaluating Logical Pluralism, David Pruitt
Evaluating Logical Pluralism, David Pruitt
Theses
Recently some philosophers, in particular J. C. Beall and Greg Restall, have defended a view they refer to as ‘logical pluralism’. This is the position that there are, in fact, several equally good but distinct logical systems according to which different arguments come out valid and invalid. No one system, they claim, is any more ‘correct’ than any other. I will have several criticisms of this view. I first argue that the phenomena of logical recapture causes problems for the pluralist. Somewhat roughly a logic is recaptured if, though all its argument forms were not valid in the full language, …
A Symbol Layout Classification For Mathematical Formula Using Layout Context, Ling Ouyang
A Symbol Layout Classification For Mathematical Formula Using Layout Context, Ling Ouyang
Theses
We describe a symbol classification technique for identifying the expected locations of neighboring symbols in mathematical expressions. We use the seven symbol layout classes of the DRACULAE math notation parser (Zanibbi, et al., 2002) to represent expected locations for neighboring symbols: Ascender, Descender, Centered, Open Bracket, Non-Scripted, Variable Range (e.g., integrals) and Root. A new feature based on the shape context (Belongie, et al., 2002), named layout context, is used to describe the arrangement of neighboring symbols relative to a reference symbol, and the nearest neighbor rule is used for classification. 1917 mathematical symbols from the University of Washington III …
Hyperspectral Clustering And Unmixing Of Satellite Imagery For The Study Of Complex Society State Formation, Justin Kwong
Hyperspectral Clustering And Unmixing Of Satellite Imagery For The Study Of Complex Society State Formation, Justin Kwong
Theses
This project is an application of remote sensing techniques to the field of archaeology. Clustering and unmixing algorithms are applied to hyperspectral Hyperion imagery over Oaxaca, Mexico. Oaxaca is the birthplace of the Zapotec civilization, the earliest state-level society in Mesoamerica. A passionate debate is ongoing over whether the Zapotecs' evolution was environmentally deterministic or socioeconomic. Previous archaeological remote sensing has focused on the difficult tasks of feature detection using low spatial resolution imagery or visual inspection of spectral data. This project attempts to learn about a civilization on the macro level, using unsupervised land classification techniques. Overlapping 158 band …
Thermal Conductivity Measurement Of Gas Diffusion Layer Used In Pemfc, Arjun Radhakrishnan
Thermal Conductivity Measurement Of Gas Diffusion Layer Used In Pemfc, Arjun Radhakrishnan
Theses
The objective of the present work is to develop an apparatus to measure the thermal conductivity of gas diffusion layer (GDL) as a function of temperature and compression, and also to develop an effective thermal conductivity (ETC) model to predict thermal conductivity of fibrous media as a function of compression. Thermal conductivity of GDL at different operating conditions is essential for accurate thermal modeling in a Proton exchange membrane (PEM) fuel cell stack. Steady state method of guarded hot plate method was used to perform the thermal conductivity measurements and the measurements were carried out on commercially available GDL samples …
Anisotropic Acid Catalyst Displacement In A Chemically Amplified Photoresist Via Application Of An Electric Field, Ward A. Johnson
Anisotropic Acid Catalyst Displacement In A Chemically Amplified Photoresist Via Application Of An Electric Field, Ward A. Johnson
Theses
Electrostatic force theory and Fickean diffusion theory both predict that anisotropic movement can be conveyed to chemically amplified resist (CAR) acid catalysts via an electric field during the post exposure bake (PEB). A demonstration of this effect was attempted through photoresist thickness loss measurements with and without the addition of an electric field. The experimental design underwent multiple evolutionary iterations and measured as much as 86 nm of additional thickness loss with the presence of an electric field compared to a PEB control. Repeatability was inconsistent and several principal assumptions were found to be in violation. From measurements of current …
Chascript: A Chinese Interactive Typographic Drawing Application, Yiyi Lu
Chascript: A Chinese Interactive Typographic Drawing Application, Yiyi Lu
Theses
Chinese characters have a complex beauty as well as individual meanings. People, like artists and designers, are often drawn to this. But it is not easy for non-Chinese people to use these characters to design. This work explores how interactive multimedia can be utilized as a tool for users in type drawing. Divided in to four main sections, this thesis will offer general information about Chinese characters, will explain what stroke and stroke order is, will offer a pictograph form, and will allow the user to try and play with Chinese characters interactively in order to get the art work …
Smooth Flexible Models Of Nonhomogeneous Poisson Processes Fit To One Or More Process Realizations, Shalaka C. Deo
Smooth Flexible Models Of Nonhomogeneous Poisson Processes Fit To One Or More Process Realizations, Shalaka C. Deo
Theses
Simulation is a technique of creating representations or models of real world systems or processes and conducting experiments to predict behavior of actual systems. Input modeling is a critical aspect of simulation modeling. Stochastic input models are used to model various aspects of the system under uncertainty including process times and interarrival times. This research focuses on input models for nonstationary arrival processes that can be represented as nonhomogeneous Poisson processes (NHPPs). In particular, a smooth flexible model for the mean-value function (or integrated rate function) of a general NHPP is estimated. To represent the mean-value function, the method utilizes …
Cactuss: Clustering Of Attack Tracks Using Significant Services, Christopher Thomas Murphy
Cactuss: Clustering Of Attack Tracks Using Significant Services, Christopher Thomas Murphy
Theses
Network analysts are bombarded with large amounts of low level data, posing great challenges for them to differentiate and recognize critical multistage attacks. Multistage attacks are performed by hackers to compromise one or more machines in a network to gradually gain access to critical information or network operation hidden behind layers of firewall rules. These multistage attacks, composed of correlated Intrusion Detection System (IDS) alerts, can be diverse in the way they progress and penetrate the network. There exists no current literature defining how these diverse multistage attacks may be classified or categorized. This work aims to perform unsupervised learning …
Visualization Of Protein 3d Structures In Reduced Representation With Simultaneous Display Of Intra And Inter-Molecular Interactions, Vrunda Sheth
Theses
Protein structure representation is an important tool in structural biology. There exists different methods of representing the protein 3D structures and different biologists favor different methods based on the information they require. Currently there is no available method of protein 3D structure representation which captures enough chemical information from the protein sequence and clearly shows the intra-molecular and the inter-molecular H-bonds and VDW interactions at the same time. This project aims to reduce the 3D structure of a protein and display the reduced representation along with inter-molecular and the intra-molecular H-bonds and van der Waals interactions. A reduced protein representation …
Dynamic Modeling And Analysis Of Multiple Sofc System Configurations, Andrew J. Slippey
Dynamic Modeling And Analysis Of Multiple Sofc System Configurations, Andrew J. Slippey
Theses
Solid oxide fuel cells (SOFC) are a variety of high temperature fuel cells with particular advantages such as fuel flexibility, internal fuel reforming capability, and combined heat and power (CHP) applications. To aid in the advancement of this technology, this work develops dynamic, computer-based, mathematical models of two SOFC configurations employing different SOFC and reformer technologies. Starting from an existing recirculation-based tubular SOFC system with a steam reformer, new component models are developed for a planar SOFC stack and a partial oxidation (POX) reformer. Both the new and existing component models were updated and improved by including new pressure dynamics …
An Application Of The Bass Diffusion Model To Border Security And Illegal Immigration, Ayeh Ohene-Asah
An Application Of The Bass Diffusion Model To Border Security And Illegal Immigration, Ayeh Ohene-Asah
Theses
This research's objective was to apply the Bass Diffusion model to border security and illegal immigration. The Potential Actual Illegal Immigration Population (PAIIP) model was created using the Vensim software program to illustrate and simulate illegal border crossings and assess the impact of detention, deportation, and amnesty on the communication between potential and actual illegal immigrants. This systems modeling approach combined with a secondary analysis method was used for data collection and analysis. Results indicate that no single or combination of policies solves the problem of illegal immigration. This study's conclusions point out that the greater the quality of information …
Gpu Acceleration Of Object Classification Algorithms Using Nvidia Cuda, Jesse Patrick Harvey
Gpu Acceleration Of Object Classification Algorithms Using Nvidia Cuda, Jesse Patrick Harvey
Theses
The field of computer vision has become an important part of today's society, supporting crucial applications in the medical, manufacturing, military intelligence and surveillance domains. Many computer vision tasks can be divided into fundamental steps: image acquisition, pre-processing, feature extraction, detection or segmentation, and high-level processing. This work focuses on classification and object detection, specifically k-Nearest Neighbors, Support Vector Machine classification, and Viola & Jones object detection. Object detection and classification algorithms are computationally intensive, which makes it difficult to perform classification tasks in real-time. This thesis aims in overcoming the processing limitations of the above classification algorithms by offloading …
Automated 3d Object Modeling From Aerial Video Imagery, Prudhvi K. Gurram
Automated 3d Object Modeling From Aerial Video Imagery, Prudhvi K. Gurram
Theses
Research in physically accurate 3D modeling of a scene is gaining momentum because of its far reaching applications in civilian and defense sectors. The modeled 3D scene must conform both geometrically and spectrally to the real world for all the applications. Geometric modeling of a scene can be achieved in many ways of which the two most popular methods are - a) using multiple 2D passive images of the scene also called as stereo vision and b) using 3D point clouds like Lidar (Light detection and ranging) data. In this research work, we derive the 3D models of objects in …
Game Engine Architecture : A Comprehensive View, Donald Kehoe
Game Engine Architecture : A Comprehensive View, Donald Kehoe
Theses
Game development is an ever growing interdisciplinary field. A variety of different skill sets need to come together to create a professional game. These range from art, audio and design through programming and development. It is difficult to isolate the different disciplines in game development since every aspect of the game is co-dependent on everything else. Even in the programming domain there are a number of sub-disciplines that a game can require such as physics programming, environmental programming, artificial intelligence and programming the core game engine, A game can even be developed in a number of different ways depending on …
Non-Foster Matching Of An Rfid Antenna, Nedime Pelin Yalcin
Non-Foster Matching Of An Rfid Antenna, Nedime Pelin Yalcin
Theses
In this thesis, novel designs of radio-frequency identification (RFID) tag antennas with better matching characteristics to achieve extended range for passive tags have been investigated in the ultra-high frequency (UHF) band. A variety of cavitybacked/coupled microstrip dipole antennas in 915 MHz range were considered. Additionally, a negative impedance converter designed to cancel out antenna's input capacitance at resonance frequency and to produce the real antenna input impedance was designed, simulated and implemented for an RFID antenna. Numerical simulations have been carried out using ORCAD software package (Cadence), ADS software package (Agilent) and HFSS software package (ANSYS/ANSOFT Inc). Antennas have been …
The Seven Prerequisites For Life, Jon Karafin
The Seven Prerequisites For Life, Jon Karafin
Theses
The Seven Prerequisites for Life is a biological sculpture that exhibits all of the main functions of a natural organism: growth, evolution, metabolism, response, reproduction, order, and regulation. Exhibited in Rochester, New York in December 2007, this sculpture has attained recognition in local news media and the internationally syndicated Ripley's Believe It or Not for its innovation in the field of art-science integration. The following thesis explores my artistic motivations behind this endeavor, traversing from early fascination with magic through more mature investigations into the relationship between the fine arts, sciences, and mathematics. Intertwined with my enduring attraction to photography …
A Segmented Aperture Space Telescope Modeling Tool And Its Application To Remote Sensing As Understood Through Image Quality And Image Utility, Michael E. Zelinski
A Segmented Aperture Space Telescope Modeling Tool And Its Application To Remote Sensing As Understood Through Image Quality And Image Utility, Michael E. Zelinski
Theses
The remote sensing community is constantly pushing technology forward to achieve bet- ter system performance, this is often done by improving signal-to-noise ratio and spatial and spectral resolution. However, improving one design parameter (such as spatial resolution) could detract from another (such as signal-to-noise). A flexible imaging system simulation tool capable of modeling the effects of changes in system parameters would be a great asset to design engineers. In words, this tool would manipulate a "perfect" image and produce an output image identical to one physically created by the imaging system. Having such a tool available would make it possible …
A Low-Signal-To-Noise-Ratio Sensor Framework Incorporating Improved Nighttime Capabilities In Dirsig, Anthony P. Rizzuto
A Low-Signal-To-Noise-Ratio Sensor Framework Incorporating Improved Nighttime Capabilities In Dirsig, Anthony P. Rizzuto
Theses
When designing new remote sensing systems, it is difficult to make apples-to-apples comparisons between designs because of the number of sensor parameters that can affect the final image. Using synthetic imagery and a computer sensor model allows for comparisons to be made between widely different sensor designs or between competing design parameters. Little work has been done in fully modeling low-SNR systems end-to-end for these types of comparisons. Currently DIRSIG has limited capability to accurately model nighttime scenes under new moon conditions or near large cities. An improved DIRSIG scene modeling capability is presented that incorporates all significant sources of …
The Predictive Utility Of The Model Of Multiple Identity Tracking In Air Traffic Control Performance, Ryan Hope
The Predictive Utility Of The Model Of Multiple Identity Tracking In Air Traffic Control Performance, Ryan Hope
Theses
This paper reports an experiment designed to investigate whether the Model of Multiple Identity Tracking can be use to predict air traffic controller performance in terms of situation awareness. The experiment tests a number of predictions derived from the Model of Multiple Identity Tracking. This model posits that when tracking multiple moving objects, the location of 4-5 objects can be acquired in parallel but the identification of any one target needs serial attention. While one object is being identified, an error factor associated with the location of all other objects increases with respect to an objects speed and the amount …
Methodologies For Power Analysis Attacks On Hardware Implementations Of Aes, Kenneth James Smith
Methodologies For Power Analysis Attacks On Hardware Implementations Of Aes, Kenneth James Smith
Theses
Side Channel Attacks (SCA) exploit weaknesses in implementations of cryptographic functions resulting from unintended inputs and outputs such as execution timing, power consumption, electromagnetic radiation, thermal and acoustic emanations. Power Analysis Attacks (PAA) are a type of SCA in which an attacker measures the power consumption of a cryptographic device during normal execution. An attempt is then made to uncover a relationship between the instantaneous power consumption and secret key information. PAAs can be subdivided into Simple Power Analysis (SPA), Differential Power Analysis (DPA), and Correlation Power Analysis (CPA). Many attacks have been documented since PAAs were first described in …
Determination Of 3-Dimensional Deformations Of The Alveolar Sac During Simulated Breathing, Joseph M. Ferrara
Determination Of 3-Dimensional Deformations Of The Alveolar Sac During Simulated Breathing, Joseph M. Ferrara
Theses
Mechanical properties of the parenchyma of the lung are currently unknown and difficult to quantify. Creating a computer model with valid property values will allow researchers to further investigate particle mixing in the lung during inhalation and exhalation. One challenge with modeling the material of the lung is the intricate geometry of the alveolar sac. Researchers are currently trying to model particle deposition within the lung using computational fluid dynamics. However, the mechanical properties of alveolar sac structure are currently undetermined. Due to the complexity of the physical structure of an alveolar sac, it has been a challenge to model …
Control Of A Magnetically Levitated Ventricular Assist Device, Arnold David Gomez
Control Of A Magnetically Levitated Ventricular Assist Device, Arnold David Gomez
Theses
This work presents theoretical and experimental means for achieving impeller stability in a magnetically levitated left ventricular assist device (LVAD). These types of medical devices are designed to boost the native heart`s ability to pump blood by means of mechanical energy transfer using a rotating impeller. Magnetic suspension of the impeller eliminates bearing friction and reduces blood damage, but it requires active controls that monitor the impeller`s position and speed in order to generate the forces and torques required to regulate its dynamic behavior. To accomplish this goal, this work includes: 1) a dynamic system model derived using energy and …
Gpu-Based Implementation Of Real-Time System For Spiking Neural Networks, Dmitri Yudanov
Gpu-Based Implementation Of Real-Time System For Spiking Neural Networks, Dmitri Yudanov
Theses
Real-time simulations of biological neural networks (BNNs) provide a natural platform for applications in a variety of fields: data classification and pattern recognition, prediction and estimation, signal processing, control and robotics, prosthetics, neurological and neuroscientific modeling. BNNs possess inherently parallel architecture and operate in continuous signal domain. Spiking neural networks (SNNs) are type of BNNs with reduced signal dynamic range: communication between neurons occurs by means of time-stamped events (spikes). SNNs allow reduction of algorithmic complexity and communication data size at a price of little loss in accuracy. Simulation of SNNs using traditional sequential computer architectures results in significant time …
Use Of Wireless Sensors To Improve Robot Lifetime For Multi-Threat Containment, Michael D. Ellis
Use Of Wireless Sensors To Improve Robot Lifetime For Multi-Threat Containment, Michael D. Ellis
Theses
Autonomous robots can be used in a decentralized environment to contain threats. While working in this capacity, these motor propelled robots are constantly moving, therefore drawing a large amount of current from the battery. If these algorithms are to be implemented in hardware, it is important to ensure that the robots move only when necessary in an effort to optimize battery life. This work introduces static wireless sensors to assist robots in detecting threats. By having a sufficient number of wireless sensors available to detect threats, it is hypothesized that a similar containment performance can be achieved with less robot …
Disaster Recovery Heuristic, Sapna Guniguntla Murthy
Disaster Recovery Heuristic, Sapna Guniguntla Murthy
Theses
A need exists to develop a software simulation that demonstrates the most effective methods of evacuation for disaster scenarios. In a real-world situation this heuristic coupled with real-time data gathered by sensors could serve to provide an efficient rescue plan. Data gathered about the terrain in the immediate aftermath of the situation is invaluable in deciding a plan of action. With this type of information many different routes can be planned so that recovery or rescue can be made as optimal as possible. But of course in any rescue mission speed also is of the utmost importance. This is why …
Recognition Of Human Interactions Using Limb-Level Feature Points, Michael David Dudley
Recognition Of Human Interactions Using Limb-Level Feature Points, Michael David Dudley
Theses
Human activity recognition is an emerging area of research in computer vision with applications in video surveillance, human-computer interaction, robotics, and video annotation. Despite a number of recent advances, there are still many opportunities for new developments, especially in the area of person-person and person-object interaction. Many proposed algorithms focus on recognizing solely single person, person-person or person-object activities. An algorithm which can recognize all three types would be a significant step toward the real-world application of this technology. This thesis investigates the design and implementation of such an algorithm. It utilizes background subtraction to extract the subjects in the …
Development Of A Novel Method For Autonomous Navigation And Landing Of Unmanned Aerial Vehicles, David Grymin
Development Of A Novel Method For Autonomous Navigation And Landing Of Unmanned Aerial Vehicles, David Grymin
Theses
In this work, control techniques for the autonomous navigation and landing of an Unmanned Aerial Vehicle (UAV) are developed and compared. Controllers were developed and implemented on two different aircraft models: the Lockheed-Martin F-16 and AAI Corporation/Israel Aircraft Industries RQ-2 Pioneer. Due to the expense of modifying the pre-existing F-16 flight control system, the controller is implemented outside of the closed loop. Proportional-integral-derivative and proportional-integral controllers are developed for holding the aircraft at a desired velocity and altitude. The aircraft are approximated as Dubins vehicles constrained to travel on a two-dimensional surface for decreased simulation time. Using the simplified model …
A Pedagogy Of Process: Using Arts Based Research With Community Development Co-Researchers To Explore Campus Community Dialogue, Brian Hand
Theses
This thesis will outline how I employed an arts informed participatory research process with four women members of the Southend family resource centre in Wexford town. The primary context for this research was the introduction of a module in community based learning on the BA (hons) in Art at the Wexford Campus of I.T. Carlow combined with a desire to participate more actively in the community sector outside the campus. The choice of an arts based methodology was to capture knowledge in a multifaceted way, to give depth to the many meanings of individual experiences and finally to suggest a …
The Effect Of Prior Knowledge In Undergraduate Performance In Chemistry: A Correlation – Prediction Study, Michael K. Seery
The Effect Of Prior Knowledge In Undergraduate Performance In Chemistry: A Correlation – Prediction Study, Michael K. Seery
Theses
No abstract provided.
An Optimization Approach To Plant-Controller Co-Design, Jared S. Russell
An Optimization Approach To Plant-Controller Co-Design, Jared S. Russell
Theses
Improving the behavior of a controlled mechanical device is traditionally accomplished by manipulating the parameters of the control system in isolation. If permitted, a better solution can be achieved by including the physical attributes of the mechanical structure as optimization variables. However, this expansion of the search space increases the importance of properly formulating the optimization problem to avoid undesirable behavior. Some modern (e.g. H∞) methods can be used to simultaneously optimize dynamic performance and robustness, but they require high levels of understanding and do not handle nonlinearities and arbitrary optimization constraints without additional augmentation. This work proposes and applies …