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Articles 1  13 of 13
FullText Articles in Engineering
Multivalent Rechargeable Batteries, Sudhaprasanna Kumar Padigi
Multivalent Rechargeable Batteries, Sudhaprasanna Kumar Padigi
Dissertations and Theses
Li^{+} ion batteries have been the mainstay of high energy storage devices that have revolutionized the operating life time of consumer electronic devices for the past two decades. However, there is a steady increase in demand for energy storage devices with the ability to store more energy and deliver them at high power at low cost, without comprising safety and lifetime.
Liion batteries have had significant challenges in increasing the amount of stored energy without affecting the overall lifetime and the ability to deliver stored energy. In order to store and deliver more energy, more lithium ions need to be ...
Revealing Structural Organization With Liquid CrystalBased Spectral Imaging Polarimetry, James Campbell Gladish
Revealing Structural Organization With Liquid CrystalBased Spectral Imaging Polarimetry, James Campbell Gladish
Dissertations and Theses
Structural organization refers to the particular ordering of scatterers. Probing structural organization by imaging polarized spectral scatter provides insight into the composition of a medium, and can aid in remote sensing, the identification of tissue pathologies, and material characterization and differentiation. The vector nature of polarized light enables it to interact with optical anisotropies within a medium, while the spectral aspect of polarization is sensitive to smallscale structure. However, many polarization studies have limitations, as they provide qualitative image analysis, incomplete anisotropy information, or both. The ability to image the effects of anisotropy and smallscale structure at multiple wavelengths is ...
Chemical Reaction Network Control Systems For AgentBased Foraging Tasks, Joshua Stephen Moles
Chemical Reaction Network Control Systems For AgentBased Foraging Tasks, Joshua Stephen Moles
Dissertations and Theses
Chemical reaction networks are an unconventional computing medium that could benefit from the ability to form basic control systems. In this work, we demonstrate the functionality of a chemical control system by evaluating classic genetic algorithm problems: Koza's Santa Fe trail, Jefferson's John Muir trail, and three Santa Fe trail segments. Both Jefferson and Koza found that memory, such as a recurrent neural network or memories in a genetic program, are required to solve the task. Our approach presents the first instance of a chemical system acting as a control system. We propose a delay line connected with ...
Detection Of Variable Retention Time In Dram, Neraj Kumar
Detection Of Variable Retention Time In Dram, Neraj Kumar
Dissertations and Theses
This thesis investigates a test method to detect the presence of Variable Retention Time (VRT) bits in manufactured DRAM. The VRT bits retention time is modeled as a 2state random telegraph process that includes miscorrelation between test and use. The VRT defect is particularly sensitive to test and use conditions. A new test method is proposed to screen the VRT bits by simulating the use conditions during manufacturing test. Evaluation of the proposed test method required a bitlevel VRT model to be parameterized as a function of temperature and voltage conditions. The complete 2state VRT bit model combines models for ...
Solar Data Analysis, Mike C. T. Ray
Solar Data Analysis, Mike C. T. Ray
Dissertations and Theses
The solar industry has grown considerably in the last few years. This larger scale has introduced more problems as well as possibilities. One of those possibilities is analyzing the data coming from the sites that are now being monitored, and using the information to answer a variety of questions.
We have four questions which are of prime importance identified in this thesis:
1. Can data from customers be trusted?
2. Can we use data from existing sites to determine which sites need the most improvement?
3. Can we implement a locationbased algorithm to reduce the amount of false positives for ...
A Parabolic Equation Analysis Of The Underwater Noise Radiated By Impact Pile Driving, Nathan Laws
A Parabolic Equation Analysis Of The Underwater Noise Radiated By Impact Pile Driving, Nathan Laws
Dissertations and Theses
Impact pile driving can produce extremely high underwater sound levels, which are of increasing environmental concern due to their deleterious effects on marine wildlife. Prediction of underwater sound levels is important to the assessment and mitigation of the environmental impacts caused by pile driving. Current prediction methods are limited and do not account for the dynamic pile driving source, inhomogeneities in bathymetry and sediment, or physicsbased sound wave propagation.
In this thesis, a computational model is presented that analyzes and predicts the underwater noise radiated by pile driving and is suitable for shallow, inhomogeneous environments and long propagation ranges. The ...
Computer Aided Design Of Permutation, Linear, And AffineLinear Reversible Circuits In The General And Linear NearestNeighbor Models, Ben Schaeffer
Computer Aided Design Of Permutation, Linear, And AffineLinear Reversible Circuits In The General And Linear NearestNeighbor Models, Ben Schaeffer
Dissertations and Theses
With the probable end of Moore's Law in the near future, and with advances in nanotechnology, new forms of computing are likely to become available. Reversible computing is one of these possible future technologies, and it employs reversible circuits. Reversible circuits in a classical form have the potential for lower power consumption than existing technology, and in a quantum form permit new types of encryption and computation.
One fundamental challenge in synthesizing the most general type of reversible circuit is that the storage space for fully specifying inputoutput descriptions becomes exponentially large as the number of inputs increases linearly ...
Methods For Efficient Synthesis Of Large Reversible Binary And Ternary Quantum Circuits And Applications Of Linear Nearest Neighbor Model, Maher Mofeid Hawash
Methods For Efficient Synthesis Of Large Reversible Binary And Ternary Quantum Circuits And Applications Of Linear Nearest Neighbor Model, Maher Mofeid Hawash
Dissertations and Theses
This dissertation describes the development of automated synthesis algorithms that construct reversible quantum circuits for reversible functions with large number of variables. Specifically, the research area is focused on reversible, permutative and fully specified binary and ternary specifications and the applicability of the resulting circuit to the physical limitations of existing quantum technologies.
Automated synthesis of arbitrary reversible specifications is an NP hard, multiobjective optimization problem, where 1) the amount of time and computational resources required to synthesize the specification, 2) the number of primitive quantum gates in the resulting circuit (quantum cost), and 3) the number of ancillary qubits ...
A Survey Of Systems For Predicting Stock Market Movements, Combining Market Indicators And Machine Learning Classifiers, Jeffrey Allan Caley
A Survey Of Systems For Predicting Stock Market Movements, Combining Market Indicators And Machine Learning Classifiers, Jeffrey Allan Caley
Dissertations and Theses
In this work, we propose and investigate a series of methods to predict stock market movements. These methods use stock market technical and macroeconomic indicators as inputs into different machine learning classifiers. The objective is to survey existing domain knowledge, and combine multiple techniques into one method to predict daily market movements for stocks. Approaches using nearest neighbor classification, support vector machine classification, Kmeans classification, principal component analysis and genetic algorithms for feature reduction and redefining the classification rule were explored. Ten stocks, 9 companies and 1 index, were used to evaluate each iteration of the trading method. The classification ...
Joint Angle Tracking With Inertial Sensors, Mahmoud Ahmed ElGohary
Joint Angle Tracking With Inertial Sensors, Mahmoud Ahmed ElGohary
Dissertations and Theses
The need to characterize normal and pathological human movement has consistently driven researchers to develop new tracking devices and to improve movement analysis systems. Movement has traditionally been captured by either optical, magnetic, mechanical, structured light, or acoustic systems. All of these systems have inherent limitations. Optical systems are costly, require fixed cameras in a controlled environment, and suffer from problems of occlusion. Similarly, acoustic and structured light systems suffer from the occlusion problem. Magnetic and radio frequency systems suffer from electromagnetic disturbances, noise and multipath problems. Mechanical systems have physical constraints that limit the natural body movement. Recently, the ...
Material Characterization Of Zinc Oxide In Bulk And Nanowire Form At Terahertz Frequencies, Forest Emerson Kernan
Material Characterization Of Zinc Oxide In Bulk And Nanowire Form At Terahertz Frequencies, Forest Emerson Kernan
Dissertations and Theses
Many new applications are being proposed and developed for use in the terahertz (THz) frequency region. Similarly, many new materials are being characterized for possible use in this area. Nanostructured forms are of particular interest since they may yield desirable properties, but they remain especially challenging to characterize. This work focuses on the characterization of zinc oxide (ZnO) in bulk and nanowire form. A method for characterizing nanostructures at THz by use of a parallelplate waveguide (PPWG) is presented. This method is novel in that it is simple, both in theory and practice, and does not require the use of ...
Evolved Design Of A Nonlinear Proportional Integral Derivative (Npid) Controller, Shubham Chopra
Evolved Design Of A Nonlinear Proportional Integral Derivative (Npid) Controller, Shubham Chopra
Dissertations and Theses
This research presents a solution to the problem of tuning a PID controller for a nonlinear system. Many systems in industrial applications use a PID controller to control a plant or the process. Conventional PID controllers work in linear systems but are less effective when the plant or the process is nonlinear because PID controllers cannot adapt the gain parameters as needed. In this research we design a Nonlinear PID (NPID) controller using a fuzzy logic system based on the Mamdani type Fuzzy Inference System to control three different DC motor systems. This fuzzy system is responsible for adapting the ...
A Simplified Approach To Reduce Blocking And Ringing Artifacts In TransformCoded Images, Jianping Hu
A Simplified Approach To Reduce Blocking And Ringing Artifacts In TransformCoded Images, Jianping Hu
Dissertations and Theses
Presently Blockbased Discrete Cosine Transform (BDCT) image coding techniques are widely used in image and video compression applications such as JPEG and MPEG. At a moderate bit rate, BDCT is usually a quite satisfactory solution to most of practical coding applications. However, for high rate compression it produces noticeable blocking and ringing artifacts in the decompressed image. It has been an active research area for a decade for reducing these artifacts. In this thesis, a novel postprocessing algorithm is proposed to remove the blocking and ringing artifacts at low bit rate. It is noniterative and uses both spatial and transform ...