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Dissertationen zum Thema „ROI tracking“

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1

Zhao, Yue. "Biopsy needles localization and tracking methods in 3d medical ultrasound with ROI-RANSAC-KALMAN." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0015/document.

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Dans les examens médicaux et les actes de thérapie, les techniques minimalement invasives sont de plus en plus utilisées. Des instruments comme des aiguilles de biopsie, ou des électrodes sont utilisés pour extraire des échantillons de cellules ou pour effectuer des traitements. Afin de réduire les traumatismes et de faciliter le suivi visuelle de ces interventions, des systèmes d’assistance par imagerie médicale, comme par exemple, par l’échographie 2D, sont utilisés dans la procédure chirurgicale. Nous proposons d’utiliser l’échographie 3D pour faciliter la visualisation de l’aiguille, mais
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Čevorová, Nina. "Problematika ROI v oblasti získávání a výběru zaměstnanců." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-77881.

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The paper brings answers on the the question whether it is possible to measure the field of recruitment. Via quantifying the administrative process of recrutment, the paper reflects the savings of time and costs by using e-recruitment application (applicant tracking system ATS) and it searchs for the relationship between quality of hire and increase of company value and its profit.
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Öberg, Andreas, and Martin Hulterström. "Semantic segmentation using convolutional neural networks to facilitate motion tracking of feet : For real-time analysis of perioperative microcirculation images in patients with critical limb thretening ischemia." Thesis, Linköpings universitet, Avdelningen för medicinsk teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176795.

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This thesis investigates the use of Convolutional Neural Networks (CNNs) toperform semantic segmentation of feet during endovascular surgery in patientswith Critical Limb Threatening Ischemia (CLTI). It is currently being investigatedwhether objective assessment of perfusion can aid surgeons during endovascularsurgery. By segmenting feet, it is possible to perform automatic analysis of perfusion data which could give information about the impact of the surgery in specificRegions of Interest (ROIs). The CNN was developed in Python with a U-net architecture which has shownto be state of the art
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Rubino, Vincenzo. "Studio della dinamica di perfusione per la valutazione della endometriosi ureterale." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23018/.

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L’endometriosi è una patologia provocata dalla disseminazione o dalla crescita di tessuto endometriale in sedi anomale o dall’insorgenza del tessuto endometriale, per un processo di metaplasia, al di fuori della sede abituale. Le manifestazioni cliniche dell’endometriosi possono essere molto differenti. Accanto a pazienti prive di sintomi, si ritrovano pazienti con una sintomatologia dolorosa estremamente invalidante. L’endometriosi rappresenta una delle patologie ginecologiche più controverse: infatti, nonostante il particolare interesse riservatole negli ultimi decenni dall’intera comunit
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Colson, Chelsea M. "Eye Gaze and Cortisol Levels in Socially Anxious Young Adults During an Interactive Real World Task." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/honors_theses/101.

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Social anxiety is a disorder where people fear social interactions and is associated with physiological changes. Eye tracking studies have shown that people with social anxiety spent more time gazing at emotional faces presented on a computer screen and spent more time gazing at the eye region. There has been limited studies on tracking eye gaze in a real-life setting interacting with another person. We used a wearable eye tracker during a brief one-on-one interview about participants’ challenges faced at work or school. Along with self-report psychological measures about social anxiety and sh
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Nguyen, Anthony Ngoc. "Importance Prioritised Image Coding in JPEG 2000." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/16005/1/Anthony_Nguyen_Thesis.pdf.

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Importance prioritised coding is a principle aimed at improving the interpretability (or image content recognition) versus bit-rate performance of image coding systems. This can be achieved by (1) detecting and tracking image content or regions of interest (ROI) that are crucial to the interpretation of an image, and (2)compressing them in such a manner that enables ROIs to be encoded with higher fidelity and prioritised for dissemination or transmission. Traditional image coding systems prioritise image data according to an objective measure of distortion and this measure does not correlate w
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Nguyen, Anthony Ngoc. "Importance Prioritised Image Coding in JPEG 2000." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16005/.

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Importance prioritised coding is a principle aimed at improving the interpretability (or image content recognition) versus bit-rate performance of image coding systems. This can be achieved by (1) detecting and tracking image content or regions of interest (ROI) that are crucial to the interpretation of an image, and (2)compressing them in such a manner that enables ROIs to be encoded with higher fidelity and prioritised for dissemination or transmission. Traditional image coding systems prioritise image data according to an objective measure of distortion and this measure does not correlate w
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Vestin, Albin, and Gustav Strandberg. "Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms." Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

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Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. Validation of the tracking performance is often done in staged traffic scenarios, where additional sensors, mounted on the vehicles, are used to obtain their true positions and velocities. The difficulty of evaluating the tracking performance complicates its development. An alternative approach studied in this thesis, is to record sequences and use non-causal algorithms, such as smoothing, i
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Dong, Weizhen. "Time Blanking for GBT Data with RADAR RFI." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd468.pdf.

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Abbasi, Hoseini Afshin. "Experimental study of turbulent flow with dispersed rod-like particles through optical measurements." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for energi- og prosessteknikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-24956.

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The knowledge of the behavior of non-spherical particles suspended in turbulent flows covers a wide range of applications in engineering and science. Dispersed two-phase flows and turbulence are the most challenging subjects in engineering, and when combined it gives rise to more complexities as the result of the inherent stochastic nature of the turbulence of the carrier-phase together with the random distribution of the dispersed phase. Moreover, for anisotropic particles the coupling between the translation and rotation of particle increases the complication. Because of the practical import
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Couceiro, Mariana Afonso Abade. "Dinâmica de sedimentos coesivos em um estuário altamente estratificado: rio Araranguá, SC." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/21/21136/tde-24062015-145812/.

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O objetivo deste estudo é compreender a dinâmica das partículas no estuário do rio Araranguá (SC) em termos de transporte em suspensão, deposição e exportação, em diferentes condições físico-químicas da água, com pH baixo (<4,5) e normal (>=7), e sob condições de regime transiente da descarga fluvial. O estuário do rio Araranguá é classificado como altamente estratificado e dominado pela descarga fluvial. Um aspecto fundamental nos processos que controlam a dinâmica de materiais em suspensão no estuário é a atividade de lavra e beneficiamento do carvão, que gera uma drenagem ácida no rio Mãe L
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Fiorin, Diego. "Design and development of algorithms and web-based applications for the tracking of vascular structures and for the assessment of clinical parameters in retinal images." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3427482.

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This thesis deals with the automatic analysis of color fundus images and in partic-ular with the development of image analysis algorithms and the implementation of software applications for the evaluation of hypertensive and diabetic retinopathy in adult subjects, and of retinopathy of prematurity (ROP) in newborns. Microcirculation is affected, with different time courses, by both hypertension and diabetes, and retinopathy is one of the consequences of such circulation damage. The retinal vessels are very sensitive to changes in microvascular circulation, and it has been demonstrated that s
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Li, Tai-Kuang, and 李泰廣. "ROI Tracking and Enhancement in Low-Quality Video Sequences." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/84420821010600950479.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>97<br>Due to the cost consideration, most of surveillance systems adopt the low resolution format to record the video sequences. However, the low resolution image quality often results the interested object too vague to be identified. We propose a two folds algorithm- tracking and enhancement- to solve this problem. First, the block-based motion estimation is used for object tracking. Next, a novel image enhancement scheme is used to reconstruct an initial high resolution image acquired from the region of interested (ROI). The error back-projection is further used to
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Chien, Jui-Chen, and 簡瑞辰. "Accurate and Robust ROI Localization in CAMSHIFT Tracking Application." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/71918913979137437303.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>100<br>In this paper, we present an improved version of CAMSHIFT algorithm. We use a 2D histogram including hue and brightness to describe the color feature of the target. In this way, videos with poor quality or achromatic points can be better characterized. The Flooding process and contribution evaluation are used to obtain a precise target histogram which reflects true color information and discrimination ability. To be adaptive to the foreground/background variation, formula for updating ROI size and target histogram are proposed. The proposed method is compared
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"Continuous Spatio Temporal Tracking of Mobile Targets." Master's thesis, 2014. http://hdl.handle.net/2286/R.I.27520.

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abstract: There has been extensive study of the target tracking problems in the recent years. Very little work has been done in the problem of continuous monitoring of all the mobile targets using the fewest number of mobile trackers, when the trajectories of all the targets are known in advance. Almost all the existing research discretized time (and/or space), or assume infinite tracker velocity. In this thesis, I consider the problem of covering (tracking) target nodes using a network of Unmanned Airborne Vehicles (UAV's) for the entire period of observation by adding the constraint of fixed
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"Smart Phones and Dietary Tracking: A Feasibility Study." Master's thesis, 2012. http://hdl.handle.net/2286/R.I.9316.

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abstract: Dietary self-monitoring has been shown to be a predictor of weight loss success and is a prevalent part of behavioral weight control programs. As more weight loss applications have become available on smartphones, this feasibility study investigated whether the use of a smartphone application, or a smartphone memo feature would improve dietary self-monitoring over the traditional paper-and-pencil method. The study also looked at whether the difference in methods would affect weight loss. Forty-seven adults (BMI 25 to 40 kg/m2) completed an 8-week study focused on tracking the differe
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"Empowering Apprentice Teachers: Tracking Instructional Practices with MyiLOGS." Doctoral diss., 2013. http://hdl.handle.net/2286/R.I.18163.

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abstract: Growing popularity of alternatively certifying teachers has created challenges for teacher preparation programs. Many non-traditional routes into classroom include no full-time mentor teacher. Absence of a mentor teacher in the classroom leaves teachers with a deficit. This study follows ten teachers on the intern certificate enrolled in both an alternative certification teacher preparation program and the Teach for America organization as they pursue a master's degree in education and state teaching certification from a large southwestern university. The five randomly chosen for the
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"Target Tracking in Environments of Rapidly Changing Clutter." Master's thesis, 2015. http://hdl.handle.net/2286/R.I.29894.

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abstract: Tracking targets in the presence of clutter is inevitable, and presents many challenges. Additionally, rapid, drastic changes in clutter density between different environments or scenarios can make it even more difficult for tracking algorithms to adapt. A novel approach to target tracking in such dynamic clutter environments is proposed using a particle filter (PF) integrated with Interacting Multiple Models (IMMs) to compensate and adapt to the transition between different clutter densities. This model was implemented for the case of a monostatic sensor tracking a single target mov
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Li, Min-Da, and 李岷達. "Design of Focusing and Tracking Controllers for DVD-ROM." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/68t5qg.

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碩士<br>國立臺北科技大學<br>電機工程系所<br>93<br>In the DVD-ROM, there are many complicated servo systems. The focusing and tracking servo systems are more important than other servo systems in DVD-ROM. The lead-lag compensator is employed as the focusing and tracking controller. Toady’s DVD-ROM manufactures still use the bilinear transformation to design servo controller in w-plane. In the special purpose servo chip for the DVD-ROM, because of the effect of the structure of the controller and the limits of the chip, the result of the controllers may not be implemented in the chip after designing, and redesi
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"Multiple Detection and Tracking in Complex Time-Varying Environments." Doctoral diss., 2014. http://hdl.handle.net/2286/R.I.27551.

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abstract: This work considers the problem of multiple detection and tracking in two complex time-varying environments, urban terrain and underwater. Tracking multiple radar targets in urban environments is rst investigated by exploiting multipath signal returns, wideband underwater acoustic (UWA) communications channels are estimated using adaptive learning methods, and multiple UWA communications users are detected by designing the transmit signal to match the environment. For the urban environment, a multi-target tracking algorithm is proposed that integrates multipath-to-measurement associa
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"Tracking the Humoral Immune Response In Type 1 Diabetes." Doctoral diss., 2015. http://hdl.handle.net/2286/R.I.29782.

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abstract: Type 1 diabetes (T1D) is a chronic autoimmune disease characterized by progressive autoimmune destruction of insulin-producing pancreatic β-cells. Genetic, immunological and environmental factors contribute to T1D development. The focus of this dissertation is to track the humoral immune response in T1D by profiling autoantibodies (AAbs) and anti-viral antibodies using an innovative protein array platform called Nucleic Acid Programmable Protein Array (NAPPA). AAbs provide value in identifying individuals at risk, stratifying patients with different clinical courses, improving our
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"The Evaluation of Information Visualization Techniques Using Eye Tracking." Doctoral diss., 2015. http://hdl.handle.net/2286/R.I.34899.

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abstract: Node-link diagrams are widely used to visualize the relational structure of real world datasets. As identical data can be visualized in infinite ways by simply changing the spatial arrangement of the nodes, one of the important research topics of the graph drawing community is to visualize the data in the way that can facilitate people's comprehension. The last three decades have witnessed the growth of algorithms for automatic visualization. However, despite the popularity of node-link diagrams and the enthusiasm in improving computational efficiency, little is known about how peopl
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"Efficient Implementation of a Low Cost Object Tracking System." Master's thesis, 2015. http://hdl.handle.net/2286/R.I.36403.

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abstract: Object tracking is an important topic in multimedia, particularly in applications such as teleconferencing, surveillance and human-computer interface. Its goal is to determine the position of objects in images continuously and reliably. The key steps involved in object tracking are foreground detection to detect moving objects, clustering to enable representation of an object by its centroid, and tracking the centroids to determine the motion parameters. In this thesis, a low cost object tracking system is implemented on a hardware accelerator that is a warp based processor for SIM
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"Robust Human Motion Tracking using Low-Cost Inertial Sensors." Master's thesis, 2016. http://hdl.handle.net/2286/R.I.40826.

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abstract: The advancements in the technology of MEMS fabrication has been phenomenal in recent years. In no mean measure this has been the result of continued demand from the consumer electronics market to make devices smaller and better. MEMS inertial measuring units (IMUs) have found revolutionary applications in a wide array of fields like medical instrumentation, navigation, attitude stabilization and virtual reality. It has to be noted though that for advanced applications of motion tracking, navigation and guidance the cost of the IMUs is still pretty high. This is mainly because the pro
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"Rapid Antimicrobial Susceptibility Testing Based on Bacterial Motion Tracking." Doctoral diss., 2017. http://hdl.handle.net/2286/R.I.44980.

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abstract: Antibiotic resistant bacteria are a worldwide epidemic threatening human survival. Antimicrobial susceptibility tests (ASTs) are important for confirming susceptibility to empirical antibiotics and detecting resistance in bacterial isolates. Current ASTs are based on bacterial culturing, which take 2-14 days to complete depending on the microbial growth rate. Considering the high mortality and morbidity rates for most acute infections, such long time frames are clinically impractical and pose a huge risk to a patient's life. A faster AST will reduce morbidity and mortality rates, as
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"Bayesian Nonparametric Modeling and Inference for Multiple Object Tracking." Doctoral diss., 2019. http://hdl.handle.net/2286/R.I.54996.

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abstract: The problem of multiple object tracking seeks to jointly estimate the time-varying cardinality and trajectory of each object. There are numerous challenges that are encountered in tracking multiple objects including a time-varying number of measurements, under varying constraints, and environmental conditions. In this thesis, the proposed statistical methods integrate the use of physical-based models with Bayesian nonparametric methods to address the main challenges in a tracking problem. In particular, Bayesian nonparametric methods are exploited to efficiently and robustly infer ob
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"Automatic Tracking of Linguistic Changes for Monitoring Cognitive-Linguistic Health." Master's thesis, 2016. http://hdl.handle.net/2286/R.I.38607.

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abstract: Many neurological disorders, especially those that result in dementia, impact speech and language production. A number of studies have shown that there exist subtle changes in linguistic complexity in these individuals that precede disease onset. However, these studies are conducted on controlled speech samples from a specific task. This thesis explores the possibility of using natural language processing in order to detect declining linguistic complexity from more natural discourse. We use existing data from public figures suspected (or at risk) of suffering from cognitive-linguisti
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"Validating the STOM Model Using MATB II and Eye-tracking." Master's thesis, 2020. http://hdl.handle.net/2286/R.I.62734.

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abstract: The choices of an operator under heavy cognitive load are potentially critical to overall safety and performance. Such conditions are common when technological failures arise, and the operator is forced into multi-task situations. Task switching choice was examined in an effort to both validate previous work concerning a model of task overload management and address unresolved matters related to visual sampling. Using the Multi-Attribute Task Battery and eye tracking, the experiment studied any influence of task priority and difficulty. Continuous visual attention measurements captur
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"Utilization of automated location tracking for clinical workflow analytics and visualization." Doctoral diss., 2018. http://hdl.handle.net/2286/R.I.51634.

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abstract: The analysis of clinical workflow offers many challenges to clinical stakeholders and researchers, especially in environments characterized by dynamic and concurrent processes. Workflow analysis in such environments is essential for monitoring performance and finding bottlenecks and sources of error. Clinical workflow analysis has been enhanced with the inclusion of modern technologies. One such intervention is automated location tracking which is a system that detects the movement of clinicians and equipment. Utilizing the data produced from automated location tracking technologies
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"Multiple Radar Target Tracking in Environments with High Noise and Clutter." Doctoral diss., 2015. http://hdl.handle.net/2286/R.I.29684.

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abstract: Tracking a time-varying number of targets is a challenging dynamic state estimation problem whose complexity is intensified under low signal-to-noise ratio (SNR) or high clutter conditions. This is important, for example, when tracking multiple, closely spaced targets moving in the same direction such as a convoy of low observable vehicles moving through a forest or multiple targets moving in a crisscross pattern. The SNR in these applications is usually low as the reflected signals from the targets are weak or the noise level is very high. An effective approach for d
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"Image Reconstruction, Classification, and Tracking for Compressed Sensing Imaging and Video." Doctoral diss., 2016. http://hdl.handle.net/2286/R.I.40835.

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abstract: Compressed sensing (CS) is a novel approach to collecting and analyzing data of all types. By exploiting prior knowledge of the compressibility of many naturally-occurring signals, specially designed sensors can dramatically undersample the data of interest and still achieve high performance. However, the generated data are pseudorandomly mixed and must be processed before use. In this work, a model of a single-pixel compressive video camera is used to explore the problems of performing inference based on these undersampled measurements. Three broad types of inference from CS measu
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"Tracking Chemical Indicators of Public Health in the Urban Water Environment." Doctoral diss., 2018. http://hdl.handle.net/2286/R.I.49018.

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abstract: This dissertation focuses on the application of urban metabolism metrology (UMM) to process streams of the natural and built water environment to gauge public health concerning exposure to carcinogenic N-nitrosamines and abuse of narcotics. A survey of sources of exposure to N-nitrosamines in the U.S. population identified contaminated food products (1,900 ± 380 ng/day) as important drivers of attributable cancer risk (Chapter 2). Freshwater sediments in the proximity of U.S. municipal wastewater treatment plants were shown for the first time to harbor carcinogenic N-nitrosamine cong
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"Hybrid Envelope Tracking Supply Modulator Analysis and Design for Wideband Applications." Doctoral diss., 2019. http://hdl.handle.net/2286/R.I.55465.

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abstract: A wideband hybrid envelope tracking modulator utilizing a hysteretic-controlled three-level switching converter and a slew-rate enhanced linear amplifierer is presented. In addition to smaller ripple and lower losses of three-level switching converters, employing the proposed hysteresis control loop results in a higher speed loop and wider bandwidth converter, enabling over 80MHz of switching frequency. A concurrent sensor circuit monitors and regulates the flying capacitor voltage VCF and eliminates conventional required calibration loop to control it. The hysteretic-controlled thre
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"Head Rotation Detection in Marmoset Monkeys." Master's thesis, 2014. http://hdl.handle.net/2286/R.I.25880.

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abstract: Head movement is known to have the benefit of improving the accuracy of sound localization for humans and animals. Marmoset is a small bodied New World monkey species and it has become an emerging model for studying the auditory functions. This thesis aims to detect the horizontal and vertical rotation of head movement in marmoset monkeys. Experiments were conducted in a sound-attenuated acoustic chamber. Head movement of marmoset monkey was studied under various auditory and visual stimulation conditions. With increasing complexity, these conditions are (1) idle, (2) sound-alone,
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Reyes, Denny L. "Three-Dimensional Velocity Measurement Reconstruction for a Rod Bundle Array using Matched Refractive Index Particle Tracking Velocimetry." Thesis, 2013. http://hdl.handle.net/1969.1/151280.

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In a pressurized water reactor (PWR), pressurized water flows over fuel rods containing radioactive uranium. Potential failure of these nuclear fuel rods is a primary concern, as fuel rod failure typically results in power generation losses and reactor downtime. Thermal parameters such as critical heat flux have traditionally been utilized as performance metrics to ensure that the reactor core remains stable even during failure events. Recently, fuel leaking events have occurred which have resulted in excess debris buildup on fuel rods and fuel grid array mixing devices. Understanding the flow
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"Urban Terrain Multiple Target Tracking Using the Probability Hypothesis Density Particle Filter." Master's thesis, 2011. http://hdl.handle.net/2286/R.I.9471.

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abstract: The tracking of multiple targets becomes more challenging in complex environments due to the additional degrees of nonlinearity in the measurement model. In urban terrain, for example, there are multiple reflection path measurements that need to be exploited since line-of-sight observations are not always available. Multiple target tracking in urban terrain environments is traditionally implemented using sequential Monte Carlo filtering algorithms and data association techniques. However, data association techniques can be computationally intensive and require very strict conditions
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"Tracking Climate-Driven Changes in Neandertal Subsistence Behaviors and Prey Mobility Patterns." Doctoral diss., 2012. http://hdl.handle.net/2286/R.I.16049.

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abstract: The ability of Neandertals to cope with the oscillating climate of the late Pleistocene and the extent to which these climate changes affected local Neandertal habitats remain unanswered anthropological topics of considerable scientific interest. Understanding the impact of climatic instability on Neandertals is critical for reconstructing the behaviors of our closest fossil relatives and possibly identifying factors that contributed to their extinction. My work aimed to test the hypotheses that 1) cold climates stressed Neandertal populations, and 2) that global climate changes affe
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"Contextual Computing: Tracking Healthcare Providers in the Emergency Department via Bluetooth Beacons." Master's thesis, 2015. http://hdl.handle.net/2286/R.I.34786.

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abstract: Hospital Emergency Departments (EDs) are frequently crowded. The Center for Medicare and Medicaid Services (CMS) collects performance measurements from EDs such as that of the door to clinician time. The door to clinician time is the time at which a patient is first seen by a clinician. Current methods for documenting the door to clinician time are in written form and may contain inaccuracies. The goal of this thesis is to provide a method for automatic and accurate retrieval and documentation of the door to clinician time. To automatically collect door to clinician times
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"Stress and Strain Propagation in Soft Viscoelastic Tissue While Tracking Microscale Targets." Master's thesis, 2015. http://hdl.handle.net/2286/R.I.36525.

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abstract: Tracking microscale targets in soft tissue using implantable probes is important in clinical applications such as neurosurgery, chemotherapy and in neurophysiological application such as brain monitoring. In most of these applications, such tracking is done with visual feedback involving some imaging modality that helps localization of the targets through images that are co-registered with stereotaxic coordinates. However, there are applications in brain monitoring where precision targeting of microscale targets such as single neurons need to be done in the absence of such visual fee
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"Temporal Coding of Cortical Neural Signals and Camera Motion Estimation in Target Tracking." Doctoral diss., 2012. http://hdl.handle.net/2286/R.I.14715.

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abstract: This dissertation includes two parts. First it focuses on discussing robust signal processing algorithms, which lead to consistent performance under perturbation or uncertainty in video target tracking applications. Projective distortion plagues the quality of long sequence mosaicking which results in loosing important target information. Some correction techniques require prior information. A new algorithm is proposed in this dissertation to this very issue. Optimization and parameter tuning of a robust camera motion estimation as well as implementation details are discussed for a r
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"Radar Tracking Waveform Design in Continuous Space and Optimization Selection Using Differential Evolution." Master's thesis, 2014. http://hdl.handle.net/2286/R.I.25100.

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abstract: Waveform design that allows for a wide variety of frequency-modulation (FM) has proven benefits. However, dictionary based optimization is limited and gradient search methods are often intractable. A new method is proposed using differential evolution to design waveforms with instantaneous frequencies (IFs) with cubic FM functions whose coefficients are constrained to the surface of the three dimensional unit sphere. Cubic IF functions subsume well-known IF functions such as linear, quadratic monomial, and cubic monomial IF functions. In addition, all nonlinear IF functions sufficien
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"Radar Target Tracking with Varying Levels of Communications Interference for Shared Spectrum Access." Master's thesis, 2015. http://hdl.handle.net/2286/R.I.29990.

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abstract: As the demand for spectrum sharing between radar and communications systems is steadily increasing, the coexistence between the two systems is a growing and very challenging problem. Radar tracking in the presence of strong communications interference can result in low probability of detection even when sequential Monte Carlo tracking methods such as the particle filter (PF) are used that better match the target kinematic model. In particular, the tracking performance can fluctuate as the power level of the communications interference can vary dynamically and unpredictably. This w
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"Target Discrimination Against Clutter Based on Unsupervised Clustering and Sequential Monte Carlo Tracking." Master's thesis, 2016. http://hdl.handle.net/2286/R.I.41269.

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abstract: The radar performance of detecting a target and estimating its parameters can deteriorate rapidly in the presence of high clutter. This is because radar measurements due to clutter returns can be falsely detected as if originating from the actual target. Various data association methods and multiple hypothesis filtering approaches have been considered to solve this problem. Such methods, however, can be computationally intensive for real time radar processing. This work proposes a new approach that is based on the unsupervised clustering of target and clutter detections before targ
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"High Slew-Rate Adaptive Biasing Hybrid Envelope Tracking Supply Modulator for LTE Applications." Doctoral diss., 2017. http://hdl.handle.net/2286/R.I.45948.

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abstract: As wireless communication enters smartphone era, more complicated communication technologies are being used to transmit higher data rate. Power amplifier (PA) has to work in back-off region, while this inevitably reduces battery life for cellphones. Various techniques have been reported to increase PA efficiency, such as envelope elimination and restoration (EER) and envelope tracking (ET). However, state of the art ET supply modulators failed to address high efficiency, high slew rate, and accurate tracking concurrently. In this dissertation, a linear-switch mode hybrid ET supply
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"Visual Behavior and Planning for Object Manipulation: Gaze Patterns for Altered Center of Mass." Master's thesis, 2017. http://hdl.handle.net/2286/R.I.45580.

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abstract: The interaction between visual fixations during planning and performance in a dexterous task was analyzed. An eye-tracking device was affixed to subjects during sequences of null (salient center of mass) and weighted (non salient center of mass) trials with unconstrained precision grasp. Subjects experienced both expected and unexpected perturbations, with the task of minimizing object roll. Unexpected perturbations were controlled by switching weights between trials, expected perturbations were controlled by asking subjects to rotate the object themselves. In all cases subject
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"Detect and Analyze the 3-D Head Movement Patterns in Marmoset Monkeys using Wireless Tracking System." Master's thesis, 2015. http://hdl.handle.net/2286/R.I.34913.

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abstract: Head movement is a natural orienting behavior for sensing environmental events around us. Head movement is particularly important for identifying through the sense of hearing the location of an out-of-sight, rear-approaching target to avoid danger or threat. This research aims to design a portable device for detecting the head movement patterns of common marmoset monkeys in laboratory environments. Marmoset is a new-world primate species and has become increasingly popular for neuroscience research. Understanding the unique patterns of their head movements will improve its values as
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"Integrated Waveform-Agile Multi-Modal Track-before-Detect Algorithms for Tracking Low Observable Targets." Master's thesis, 2012. http://hdl.handle.net/2286/R.I.14953.

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abstract: In this thesis, an integrated waveform-agile multi-modal tracking-beforedetect sensing system is investigated and the performance is evaluated using an experimental platform. The sensing system of adapting asymmetric multi-modal sensing operation platforms using radio frequency (RF) radar and electro-optical (EO) sensors allows for integration of complementary information from different sensors. However, there are many challenges to overcome, including tracking low signal-to-noise ratio (SNR) targets, waveform configurations that can optimize tracking performance and statistically de
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"Effect of Incorporating Aerodynamic Drag Model on Trajectory Tracking Performance of DJI F330 Quadcopter." Master's thesis, 2020. http://hdl.handle.net/2286/R.I.57415.

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abstract: Control algorithm development for quadrotor is usually based solely on rigid body dynamics neglecting aerodynamics. Recent work has demonstrated that such a model is suited only when operating at or near hover conditions and low-speed flight. When operating in confined spaces or during aggressive maneuvers destabilizing forces and moments are induced due to aerodynamic effects. Studies indicate that blade flapping, induced drag, and propeller drag influence forward flight performance while other effects like vortex ring state, ground effect affect vertical flight performance. In this
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"Quiet Eye Training and the Focus of Visual Attention in Golf Putting." Master's thesis, 2019. http://hdl.handle.net/2286/R.I.53829.

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abstract: Previous research has shown that training visual attention can improve golf putting performance. A technique called the Quiet Eye focuses on increasing a player’s length of fixation between the ball and the hole. When putting, the final fixation is made on the ball before executing the stroke leaving players to rely on their memory of the hole’s distance and location. The present study aimed to test the effectiveness of Quiet Eye training for final fixation on the hole. Twelve Arizona State University (ASU) students with minimal golf experience putted while wearing eye tracking glass
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"Comparison of SPR and Edge Tracking as a Measure of Binding Kinetics in Whole Cells." Master's thesis, 2018. http://hdl.handle.net/2286/R.I.51617.

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abstract: Most drugs work by binding to receptors on the cell surface. These receptors can then carry the message into the cell and have a wide array of results. However, studying how fast the binding is can be difficult. Current methods involve extracting the receptor and labeling them, but both these steps have issues. Previous works found that binding on the cell surface is accompanied with a small change in cell size, generally an increase. They have also developed an algorithm that can track these small changes without a label using a simple bright field microscope. Here, this relationshi
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