Browsing by Author "Choe, Yoonsuck"
Now showing items 1-20 of 138
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Gosangi, Rakesh (2013-07-17)Chemical sensors are generally used as one-dimensional devices, where one measures the sensor’s response at a fixed setting, e.g., infrared absorption at a specific wavelength, or conductivity of a solid-state sensor at a ...
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Huang, Jin (2016-04-08)Spectrometers are the cornerstone of analytical chemistry. Recent advances in microoptics manufacturing provide lightweight and portable alternatives to traditional spectrometers. In this dissertation, we developed a ...
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Narayana, Sushirdeep (2017-05-08)Affect is the psychological display of emotion often described with three principal dimensions: 1) valence 2) arousal and 3) dominance. This thesis work explores the ability of computers to recognize human emotions using ...
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Chen, Feilong (Texas A&M University, 2004-09-30)Fault detection, isolation, and recovery are some of the most critical activities in which astronauts and flight controllers participate. Recent systems to perform the FDIR activity lack portability and extensibility, and ...
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Yi, Gang Man (2012-07-16)The increased availability of data in biological databases provides many opportunities for understanding biological processes through these data. As recent attention has shifted from sequence analysis to higher-level ...
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Wang, Ye (2019-11-22)Sequence Learning is the cornerstone of data mining, and is significant in extracting useful information, from sequencing sounds in a speech to sequencing semantics in linguistics. Before sequence learning, finding a proper ...
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Awoleke, Obadare O. (2011-02-22)Water production is a challenge in production operations because it is generally costly to produce, treat, and it can hamper hydrocarbon production. This is especially true for gas wells in unconventional reservoirs like ...
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Bub, CassandraIn this paper, we look at the performance of a time-delay neural network in a scenario requiring memory as well as reactivity. Utilizing a ball catching scenario where the agent will have to move to catch a falling ball, ...
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Wang, Qian (2016-08-02)Quintillions of bytes of data are generated every day in this era of big data. Machine learning techniques are utilized to perform predictive analysis on these data, to reveal hidden relationships and dependencies and ...
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Negi, Pallav (Texas A&M University, 2007-09-17)Borrowing ideas from natural immunity, Artificial Immune Systems (AIS) offer a novel approach to solving many diagnosis, optimization and control problems. In the course of this research this paradigm was applied to the ...
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Nam, Changjoo (2016-07-11)Multi-robot task allocation is a general approach to coordinate a team of robots to complete a set of tasks collectively. The classical works adopt relevant theories from other disciplines (e.g., operations research, ...
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D'Souza, Aswin Cletus (2009-05-15)Cell count is an important metric in neurological research. The loss in numbers of certain cells like neurons has been found to accompany not only the deterioration of important brain functions but disorders like clinical ...
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Yang, Wenjie (2014-10-30)The 3D reconstruction of neurovascular network plays an important role in understanding the functions of the blood vessels in different brain regions. Many techniques have been applied to acquire microscopic neurovascular ...
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Lim, Sungjun (2015-12-12)3D reconstruction of the neurovascular networks in the brain is a first step toward the analysis of their function. However, existing three dimensional imaging techniques have not been able to image tissues on a large scale ...
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An, Woo Kyung (2016-08-08)The Knife-Edge Scanning Microscope (KESM), developed at the Brain Network Laboratory at Texas A&M University, can image a whole small animal brain at sub- micrometer resolution. Nissl data from the KESM enable us to look ...
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Parulkar, Amey (2015-08-12)The fly visual system, although tiny when compared to the mammalian visual system, can still perform highly sophisticated functions to help the animal navigate through the environment. An example of such a function is the ...
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Hsieh, Pin-Chun (Texas A&M University, 2008-10-10)The objective of this research is to demonstrate a robotic wheelchair moving in an unknown environment with collision-avoidance navigation. A real-time path-planning algorithm was implemented by detecting the range to ...
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Fan, David Dawei (2015-04-17)The Theta neuron model is a spiking neuron model which, unlike traditional Leaky-Integrate-and-Fire neurons, can model spike latencies, threshold adaptation, bistability of resting and tonic firing states, and more. Previous ...
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Zhang, Ming (2009-05-15)In this dissertation, I investigated computing algorithms for automated retinal blood vessel detection. Changes in blood vessel structures are important indicators of many diseases such as diabetes, hypertension, etc. Blood ...
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Bansal, Nitin Kumar (2018-12-10)1This work seeks to answer the question: as the (near-) orthogonality of weights is found to be a favorable property for training deep convolutional neural networks, how we can enforce it in more effective and easy-to-use ...