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Articles 1 - 11 of 11
Full-Text Articles in Engineering
A Comparison And Evaluation Of Three Different Pose Estimation Algorithms In Detecting Low Texture Manufactured Objects, Robert Kriener
A Comparison And Evaluation Of Three Different Pose Estimation Algorithms In Detecting Low Texture Manufactured Objects, Robert Kriener
All Theses
This thesis examines the problem of pose estimation, which is the problem of determining the pose of an object in some coordinate system. Pose refers to the object's position and orientation in the coordinate system. In particular, this thesis examines pose estimation techniques using either monocular or binocular vision systems.
Generally, when trying to find the pose of an object the objective is to generate a set of matching features, which may be points or lines, between a model of the object and the current image of the object. These matches can then be used to determine the pose of …
Radio Frequency Micro/Nano-Fluidic Devices For Microwave Dielectric Property Characterizations, Chunrong Song
Radio Frequency Micro/Nano-Fluidic Devices For Microwave Dielectric Property Characterizations, Chunrong Song
All Dissertations
In this dissertation, a number of different topics in microwave dielectric property measurements have been covered by a systematic approach to the goals of development of dielectric spectroscopy and study of its high electric field effects with integrated on-chip microwave microfluidic / nanofluidic devices.
A method of parasitic effects cancellation for dielectric property measurement is proposed, analyzed, and experimentally evaluated for microwave characterization of small devices and materials that yield low intensity signals. The method dramatically reduces parasitic effects to uncover the otherwise buried signals. A high-sensitive radio frequency (RF) device is then developed and fabricated to detect small dielectric …
The Performance Of Serial, Matched-Filter Packet Acquisition Using Transmit And Receive Antenna Diversity, Shivram Ramanathan
The Performance Of Serial, Matched-Filter Packet Acquisition Using Transmit And Receive Antenna Diversity, Shivram Ramanathan
All Theses
The performance of serial, matched-filter acquisition is evaluated for asynchronous packet radio communications using transmit or receive antenna diversity. Transmit diversity is achieved using dual antenna transmissions of orthogonal preamble sequences and receive diversity is achieved using dual antenna reception of a single preamble sequence. Sequential test statistics are formed using non-coherent combining of the outputs from the orthogonal preamble matched-filters if transmitter diversity is used; the test statistics are formed using non coherent combining of the outputs from the preamble matched-filter in each receiver chain if receiver diversity is used. Threshold-based acquisition of the test statistics using both fixed …
New Analytical Bounds On The Probability Of Code-Word Error For Convolution Codes With Viterbi Decoding, Shweta Tomar
New Analytical Bounds On The Probability Of Code-Word Error For Convolution Codes With Viterbi Decoding, Shweta Tomar
All Theses
New analytical bounds are developed for the probability of code-word error in a communication system with convolutional coding and soft-decision Viterbi decoding. The bounds are applicable to communications in channels with asynchronous interferers which are modeled as independent, partial-time white Gaussian interference sources. This model is often used in simulations to reflect the circumstances encountered in many packet radio communication networks. The new results include both purely analytical bounds and offline-simulation-aided bounds that permit implementation of accurate communication-link models with much lower online computational and storage requirements than are required with traditional Monte Carlo simulations of link performance. They significantly …
Development Of Reduced Complexity Models For Electromagnetic Modeling, Changyi Su
Development Of Reduced Complexity Models For Electromagnetic Modeling, Changyi Su
All Dissertations
The current and field distributions of various structures can be calculated using full-wave numerical modeling codes. However, this approach is limited by the complex models and extensive computational resources required to analyze the details of each structure. In addition, brute-force modeling of the entire geometry provides relatively little physical insight into the electromagnetic interference (EMI) source mechanisms. Alternatively an effective equivalent model can be obtained by eliminating sources and structures that do not contribute significantly to the radiated emissions and focusing on the features that could possibly be significant sources of EMI. Equivalent models are generally much simpler than model-everything …
Low-Resolution Vision For Autonomous Mobile Robots, Vidya Nariyambut Murali
Low-Resolution Vision For Autonomous Mobile Robots, Vidya Nariyambut Murali
All Dissertations
The goal of this research is to develop algorithms using low-resolution images to perceive and understand a typical indoor environment and thereby enable a mobile robot to autonomously navigate such an environment. We present techniques for three problems: autonomous exploration, corridor classification, and minimalistic geometric representation of an indoor environment for navigation.
First, we present a technique for mobile robot exploration in unknown indoor environments using only a single forward-facing camera. Rather than processing all the data, the method intermittently examines only small 32X24 downsampled grayscale images. We show that for the task of indoor exploration the visual information is …
Eeg Data Analysis, Feature Extraction And Classifiers, Jing Zhou
Eeg Data Analysis, Feature Extraction And Classifiers, Jing Zhou
All Theses
Epileptiform transients (ETs) are an important kind of EEG signal. They have various morphologies and can be difficult to detect. This thesis describes several approaches to detecting and classifying epileptiform transients (ETs), including Bayesian classification (with Gaussian Assumption), artificial neural networks (Backpropagation FeedForward Network) and k-NNR. Various features were extracted, including the shape, frequency domain and wavelet transform coefficients. The long term goal of this research is to determine the required size of a dataset to obtain clinically significant machine classification results. The immediate goal is to identify a reasonable feature set which can achieve acceptable classification performance with reasonable …
Unified Point-Edgelet Feature Tracking, Kalaivani Sundararajan
Unified Point-Edgelet Feature Tracking, Kalaivani Sundararajan
All Theses
Feature tracking algorithms have conventionally tracked `corner' features or windows with high spatial frequency content. However, this conventional point feature representation of scenes would be inappropriate for poorly textured image sequences like indoor image sequences. To overcome this problem, we propose a feature tracking algorithm which tracks point features and edgelets
simultaneously. Edgelets are straight line approximations of intensity edges in an image. Hence, a combination of point features and edgelets provides a better representation of untextured sequences with the point features and edgelets complementing each other. We show that this property results in more robust tracking.
Tracking edgelets is …
A Quantitative, Technology Independent, Fidelity Metric For Evaluating Bioprinted Patterned Co-Cultures, Matthew Pepper
A Quantitative, Technology Independent, Fidelity Metric For Evaluating Bioprinted Patterned Co-Cultures, Matthew Pepper
All Theses
The study of cell-cell interactions is crucial in the understanding of cell behaviors such as tumor genesis, proliferation, migration, metastasis, and apoptosis. To break down the complex web of signals in vivo, researchers must replicate some parts of this environment with in vitro tissue test systems, composed of multiple cell types arranged close enough to communicate with their neighbors, i.e. high-resolution co-culture patterns. The field of bioprinting is specifically focused on creating co-culture patterns for the purposes of cell studies, but the sample resolutions of most bioprinting systems are still too coarse to permit cell communication. No way currently exists …
Improved Line Outage Detection Using Synchrophasor Measurements, Nick Mahoney
Improved Line Outage Detection Using Synchrophasor Measurements, Nick Mahoney
All Theses
The recent advent of synchronized phasor measurements has allowed a power system to be more readily observable. In fact, when multiple buses are observed, applications that were never before possible become a reality. One such application is the detection of line outages in remote or unobserved parts of the system. Two such methods of line outage detection are examined. First, principal component analysis is used to show that highly accurate line outage detection is possible. Using concepts similar to principal component analysis, a novel line outage detection algorithm is developed. Lastly, the efficacy of the novel line outage detection algorithm …
Segmentation Of Floors In Corridor Images For Mobile Robot Navigation, Yinxiao Li
Segmentation Of Floors In Corridor Images For Mobile Robot Navigation, Yinxiao Li
All Theses
This thesis presents a novel method of floor segmentation from a single image for mobile robot navigation. In contrast with previous approaches that rely upon homographies, our approach does not require multiple images (either stereo or optical flow). It also does not require the camera to be calibrated, even for lens distortion. The technique combines three visual cues for evaluating the likelihood of horizontal intensity edge line segments belonging to the wall-floor boundary. The combination of these cues yields a robust system that works even in the presence of severe specular reflections, which are common in indoor environments. The nearly …