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1
Liu, Yang. "Statistical methods for big tracking data." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/60916.
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Recent advances in technology have led to large sets of tracking data, which brings new challenges in statistical modeling and prediction. Built on recent developments in Gaussian process modeling for spatio--temporal data and stochastic differential equations (SDEs), we develop a sequence of new models and corresponding inferential methods to meet these challenges. We first propose Bayesian Melding (BM) and downscaling frameworks to combine observations from different sources. To use BM for big tracking data, we exploit the properties of the processes along with approximations to the likelihood to break a high dimensional problem into a series of lower dimensional problems. To implement the downscaling approach, we apply the integrated nested Laplace approximation (INLA) to fit a linear mixed effect model that connects the two sources of observations. We apply these two approaches in a case study involving the tracking of marine mammals. Both of our frameworks have superior predictive performance compared with traditional approaches in both cross--validation and simulation studies.
We further develop the BM frameworks with stochastic processes that can reflect the time varying features of the tracks. We first develop a conditional heterogeneous Gaussian Process (CHGP) but certain properties of this process make it extremely difficult to perform model selection. We also propose a linear SDE with splines as its coefficients, which we refer to as a generalized Ornstein-Ulhenbeck (GOU) process. The GOU achieves flexible modeling of the tracks in both mean and covariance with a reasonably parsimonious parameterization. Inference and prediction for this process can be computed via the Kalman filter and smoother. BM with the GOU achieves a smaller prediction error and better credibility intervals in cross validation comparisons to the basic BM and downscaling models.
Following the success with the GOU, we further study a special class of SDEs called the potential field (PF) models, which formulates the drift term as the gradient of another function. We apply the PF approach to modeling of tracks of marine mammals as well as basketball players, and demonstrate its potential in learning, visualizing, and interpreting the trends in the paths.<br>Science, Faculty of<br>Statistics, Department of<br>Graduate
2
Brown, K. D., and Chris Allen. "DYNAMIC TRACKING PHASED ARRAY DATA LINKS." International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605303.
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International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California<br>This paper describes a flexible telemetry data link developed by National Nuclear Safety
Administration’s Kansas City Plant (NNSA-KCP) and the University of Kansas (KU) in support
of NNSA’s Remote Sensing Laboratory (NNSA-RSL) located at the Nevada Test Site. This data
link is based on a beam steerable phased array antenna (PAA). The paper describes the PAA and
the Airborne Measurement System (AMS) application requiring signal source tracking. It
highlights flight test data collected during recent flight testing on the Nevada Test Site for the
AMS.
3
Alam, Sayeed Safayet. "Analysis of Eye-Tracking Data in Visualization and Data Space." FIU Digital Commons, 2017. http://digitalcommons.fiu.edu/etd/3473.
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Eye-tracking devices can tell us where on the screen a person is looking. Researchers frequently analyze eye-tracking data manually, by examining every frame of a visual stimulus used in an eye-tracking experiment so as to match 2D screen-coordinates provided by the eye-tracker to related objects and content within the stimulus. Such task requires significant manual effort and is not feasible for analyzing data collected from many users, long experimental sessions, and heavily interactive and dynamic visual stimuli. In this dissertation, we present a novel analysis method. We would instrument visualizations that have open source code, and leverage real-time information about the layout of the rendered visual content, to automatically relate gaze-samples to visual objects drawn on the screen. Since such visual objects are shown in a visualization stand for data, the method would allow us to necessarily detect data that users focus on or Data of Interest (DOI).
This dissertation has two contributions. First, we demonstrated the feasibility of collecting DOI data for real life visualization in a reliable way which is not self-evident. Second, we formalized the process of collecting and interpreting DOI data and test whether the automated DOI detection can lead to research workflows, and insights not possible with traditional, manual approaches.
4
Filippidis, Arthur. "Multisensor data fusion." Title page, contents and abstract only, 1993. http://web4.library.adelaide.edu.au/theses/09ENS/09ensf482.pdf.
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5
Cirkic, Mirsad. "Modular General-Purpose Data Filtering for Tracking." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-14917.
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<p>In nearly allmodern tracking systems, signal processing is an important part with state estimation as the fundamental component. To evaluate and to reassess different tracking systems in an affordable way, simulations that are in accordance with reality are largely used. Simulation software that is composed of many different simulating modules, such as high level architecture (HLA) standardized software, is capable of simulating very realistic data and scenarios.</p><p>A modular and general-purpose state estimation functionality for filtering provides a profound basis for simulating most modern tracking systems, which in this thesis work is precisely what is created and implemented in an HLA-framework. Some of the most widely used estimators, the iterated Schmidt extended Kalman filter, the scaled unscented Kalman filter, and the particle filter, are chosen to form a toolbox of such functionality. An indeed expandable toolbox that offers both unique and general features of each respective filter is designed and implemented, which can be utilized in not only tracking applications but in any application that is in need of fundamental state estimation. In order to prepare the user to make full use of this toolbox, the filters’ methods are described thoroughly, some of which are modified with adjustments that have been discovered in the process.</p><p>Furthermore, to utilize these filters easily for the sake of user-friendliness, a linear algebraic shell is created, which has very straight-forward matrix handling and uses BOOST UBLAS as the underlying numerical library. It is used for the implementation of the filters in C++, which provides a very independent and portable code.</p>
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Čirkić, Mirsad. "Modular General-Purpose Data Filtering for Tracking." Thesis, Linköpings universitet, Institutionen för systemteknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-14917.
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In nearly allmodern tracking systems, signal processing is an important part with state estimation as the fundamental component. To evaluate and to reassess different tracking systems in an affordable way, simulations that are in accordance with reality are largely used. Simulation software that is composed of many different simulating modules, such as high level architecture (HLA) standardized software, is capable of simulating very realistic data and scenarios. A modular and general-purpose state estimation functionality for filtering provides a profound basis for simulating most modern tracking systems, which in this thesis work is precisely what is created and implemented in an HLA-framework. Some of the most widely used estimators, the iterated Schmidt extended Kalman filter, the scaled unscented Kalman filter, and the particle filter, are chosen to form a toolbox of such functionality. An indeed expandable toolbox that offers both unique and general features of each respective filter is designed and implemented, which can be utilized in not only tracking applications but in any application that is in need of fundamental state estimation. In order to prepare the user to make full use of this toolbox, the filters’ methods are described thoroughly, some of which are modified with adjustments that have been discovered in the process. Furthermore, to utilize these filters easily for the sake of user-friendliness, a linear algebraic shell is created, which has very straight-forward matrix handling and uses BOOST UBLAS as the underlying numerical library. It is used for the implementation of the filters in C++, which provides a very independent and portable code.
7
Yeo, Kwang Liang 1977. "Wireless data migration in a tracking application." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/85740.
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8
Afonso, Ricardo Filipe Dias Seara. "Tracking and data recording system for vehicles." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12017.
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Mestrado em Engenharia Mecânica<br>When talking about road transport the biggest concern nowadays is the increase of the use of the road networks. From this augmentation arise various environmental, economical and social issues. The safety and preservation of the transported goods, especially when those are perishable is another issue gaining relevance. In this context the importance of the traceability of vehicles is increasing to ensure a reduction in fuel consumption and the quality of the transported goods.
The aim of this master dissertation is to create an application that run over the Android operative system that will be able to get data from vehicle's ECUs and to send them in real time to a web based database. This application running on an Android mobile device will also provide an interface to enable user interaction. A web-interface will display in real time the data collected by the Android device (global position, data from the ECU, driver and management messages). On this WEB interface data will be displayed clearly, taking advantage of tools like Google Maps API. Being able to track the position of the vehicle and other parameters collected from the vehicle's ECU in real time is the first step towards a final goal of automating the creation of more economical and environmental routes in real time.<br>Atualmente, uma das maiores preocupações a nível dos transportes prende-se com a crescente utilização das redes rodoviárias. Assim, além dos vários problemas causados aos níveis ambiental, económico e social, é também cada vez maior a preocupação com a segurança e a preservação das mercadorias transportadas, especialmente quando estas são perecíveis. Neste contexto, tem aumentado a importância da rastreabilidade de veículos de forma a reduzir os consumos de combustível, assegurando, no entanto, a qualidade das mercadorias transportadas.
O objetivo desta dissertação de mestrado é criar uma aplicação que corre sobre o sistema operativo Android que permitira recolher informação vinda da centralina do veículo, e envia-la em tempo real para uma base de dados na rede. Esta aplicação possibilitara, também, a interação com o seu utilizador. Um interface WEB servira para expor, em tempo real, os diversos dados recolhidos pelo dispositivo Android (posição global, dados provenientes da centralina, mensagens do condutor e do centro de controlo). Nessa interface WEB os dados serão expostos da forma mais clara possível recorrendo a ferramentas como por exemplo o Google Maps API. Ser capaz de saber em tempo real a localização global do veículo assim como adquirir dados da sua centralina, e um primeiro passo para conseguir a criação de um processo automático, capaz de produzir em tempo real rotas mais económicas e mais ecológicas.
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ÇERÇİ, SENA. "Embodying Self-Tracking: A Feminist Exploration of Collective Meaning-Making of Self-Tracking Data." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22465.
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This Research-through-Design conducted as thesis project within Malmö University Interaction Design Master’s programme is an attempt to bridge the gap between the quantified self and the subjective & collective experiences of the self-tracking for less normative ways of meaning-making of data. In order to accomplish this, it offers a feminist critique of self-tracking and an exploration of new features for self-tracking apps using provotypes to inform the HCI community.
10
Kharbouch, Mohamed M. "Some investigations of multiple target tracking." Thesis, University of Sussex, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290997.
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11
Pophali, Neeta S. "Clinical data entry & protocol tracking system (CDEPT)." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/NPophali2007.pdf.
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12
Agirnas, Emre. "Multi-scan Data Association Algorithm For Multitarget Tracking." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605646/index.pdf.
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Data association problem for multitarget tracking is determination of the relationship between targets and the incoming measurements from sensors of the
target tracking system. Performance of a multitarget tracking system is strongly related to the chosen method for data association and target tracking algorithm.
Incorrect data association effects state estimation of targets.
In this thesis, we propose a new multi-scan data association algorithm for multitarget tracking systems. This algorithm was implemented by using MATLAB programming tool. Performances of the new algorithm and JPDA method for
multiple targets tracking are compared. During simulations linear models are used and the uncertainties in the sensor and motion models are modeled by Gaussian
density. Simulation results are presented. Results show that the new algorithm'<br>s performance is better than that of JPDA method.
Moreover, a survey over target tracking literature is presented including basics of multitarget tracking systems and existing data association methods.
13
Ke, Zhenqing. "Sampled-data control: stabilization, tracking and disturbance rejection." Thesis, University of Bath, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492283.
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14
Wu, Ming-An. "Inferring user cognitive abilities from eye-tracking data." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/55086.
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User-adaptive visualization can provide intelligent personalization to aid the user in the information processing. The adaptations, in the form as simple as helpful highlighting, are applied based on user’s characteristics and preferences inferred by the system. Previous work has shown that binary labels of user’s cognitive abilities relevant for processing information visualizations could be predicted in real time, by leveraging user gaze patterns collected via a non-intrusive eye-tracking device. The classification accuracies reported were in the 59–65% range, which is statistically more accurate than a majority-class classifier, but not of great practical significance. In this thesis, we expand on previous work by showing that significantly higher accuracies can be achieved by leveraging summative statistics on a user’s pupil size and head distance to the screen measurements, also collected by an eye tracker. Our experiments show that these results hold for two datasets, providing evidence of the generality of our findings. We also explore the sequential nature of gaze movement by extracting common substring patterns and using the frequency of these patterns as features for classifying user’s cognitive abilities. Our sequence features are able to classify more accurately than the majority-class baseline, but unable to outperform our best classification model with the summative eye-tracking features.<br>Science, Faculty of<br>Computer Science, Department of<br>Graduate
15
McCurry, David B. "Provenance Tracking in a Commons of Geographic Data." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/McCurryDB2007.pdf.
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Visuri, A. (Aku). "Smartphone based contextual symptom tracking and data gathering." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201609142777.
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Mobile devices are increasingly used for self-monitoring in areas of health, mood, and exercise tracking. The capabilities of modern devices also enable automation of this monitoring on a brand new scale. This thesis outlines the design, implementation, and evaluation via two-month long deployment of a system aimed to help both individual users and researchers to efficiently gather self-reported data. The name of the presented system is LifeTracker. LifeTracker is a two-tier system consisting of an Android application, used to gather data for personal or academic use, and a web dashboard, used to define parameters for studies. The main focus of the application is a novel input mechanism for self-reported data, leveraging notification popups as reactive input methods, that are presented to the user at opportune times. The thesis explains the design process of the system in detail in terms of use cases, requirements, and interface wireframes and the implementation process for both the web dashboard as well as the Android application. The Android application is evaluated in terms of usability and data gathering efficiency using interviews and the Standard Usability Survey. We also perform quantitative analysis of the machine learning classifiers used to predict user interruptibility. The results of the deployment show that users with prior experience with life logging applications appreciate the novel input mechanism and its strengths. Predicting user interruptibility can be performed at a reasonable rate, still considering personal variance of each individual<br>Mobiililaitteita käytetään suurenevissa määrin henkilökohtaisen terveyden, mielentilan ja fyysisten aktiviteettien seuraamiseen. Modernien laitteiden suorituskykykapasiteetti sallii myös tämänkaltaisen seurannan automatisoinnin. Tämä diplomityö hahmottaa suunnittelun, toteutuksen ja arvioinnin kahden kuukauden mittaisen käyttöönoton avulla järjestelmälle, jonka tarkoitus on auttaa yksittäisiä käyttäjiä ja tutkijoita keräämään tämänkaltaista seuraamistietoa. Työssä esitetyn järjestelmän nimi on LifeTracker. LifeTracker on kaksitasoinen järjestelmä, joka sisältää Android applikaation, jota käytetään tiedon keräämiseen henkilökohtaiseen ja tutkimuskäyttöön, ja Webkäyttöliittymän, jota käytetään tutkimusten parametrien määrittelemiseen. Applikaation fokus on uudenlaisessa syöttömekanismissa seurantatiedolle, joka käyttää ponnahdusikkunoita reaktiivisena syöttömekanismina, jotka esitetään käyttäjille sopivina aikoina. Työ selittää järjestelmän suunnittelun yksityiskohtaisesti käyttötapausten, vaatimusmäärittelyn ja käyttöliittymämallien avulla, ja toteutuksen sekä Web-käyttöliittymälle ja Android applikaatiolle. Android applikaatio arvioidaan käytettävyyden ja tiedonkeruun tehokkuuden suhteen käyttäen käyttäjähaastatteluja ja SUS-menetelmää. Suoritamme myös kvantitatiivisen analyysin koneoppimismalleista, joita käytetään käyttäjän keskeyttämisen ennakoimiseen. Käyttöönoton tulokset kertovat, että käyttäjät joilla on aikaisempaa kokemusta elämänhallintasovellusten kanssa ymmärtävät uudenlaisen syöttömekanismin edut ja vahvuudet. Käyttäjän keskeyttäminen voidaan myös ennakoida riittävällä tarkkuudella, ottaen huomioon muutokset yksittäisten käyttäjien välillä
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Zheng, Feng. "Visual data association : tracking, re-identification and retrieval." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/17223/.
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As there is a rapid development of the information society, large amounts of multimedia data are generated, which are shared and transferred on various electronic devices and the Internet every minute. Hence, building intelligent systems capable of associating these visual data at diverse locations and different times is absolutely essential and will significantly facilitate understanding and identifying where an object came from and where it is going. Thus, the estimated traces of motions or changes increasingly make it feasible to implement advanced algorithms to real-world applications, including human-computer interaction, robotic navigation, security in surveillance, biological characteristics association and civil structure vibration detection. However, due to the inherent challenges, such as ambiguity, heterogeneity, noisy data, large-scale property and unknown variations, visual data association is currently far from being established. Therefore, this thesis focuses on the studies of associating visual data at diverse locations and different times for the tasks of tracking, re-identification and retrieval. More specifically, three situations including single camera, across multiple cameras and across multiple modalities have been investigated and four algorithms have been developed at different levels. Chapter 3 The first algorithm is to explore an ensemble system for robust object tracking, primarily considering the independence of classifier members. An empirical analysis is firstly given to show that object tracking is a non-i.i.d. sampling, under-sample and incomplete-dataset problem. Then, a set of independent classifiers trained sequentially on different small datasets is dynamically maintained to overcome the particular machine learning problem. Thus, for every challenge, an optimal classifier can be approximated in a subspace spanned by the selected competitive classifiers. Chapter 4 The second method is to improve the object tracking by exploiting a winner-take-all strategy to select the most suitable trackers. This topic naturally extends the concept of ensemble in the first topic to a more general idea: a multi-expert system, in which members come from different function spaces. Thus, the diversity of the system is more likely to be amplified. Based on a large public dataset, a prediction model of performance for different trackers on various challenges can be obtained off-line. Then, the learned structural regression model can be directly used to efficiently select the winner tracker online. Chapter 5 The third one is to learn cross-view identities for fast person re-identification, in a cross-camera setting, which significantly differs from the single-view object tracking in the first two topics. Two sets of discriminative hash functions for two different views are learned by simultaneously minimising their distance in the Hamming space, and maximising the cross-covariance and margin. Thus, similar binary codes can be found for images of the same person captured at different views by embedding the images into the Hamming space. Chapter 6 The fourth model is to develop a novel Hetero-manifold regularisation framework for efficient cross-modal retrieval. Compared with the first two settings, this is a more general and complex topic, in which the samples can be relaxed to the images captured in the very far distance or very long time, even to text, voice and other formats. Taking advantage of the hetero-manifold, the similarity between each pair of heterogeneous data could be naturally measured by three order random walks on this hetero-manifold. It is concluded that, by fully exploiting the algorithms for solving the problems in the three situations, an integrated trace for an object moving anywhere can be definitely discovered.
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Jin, Yonggang. "Data association for visual tracking with particle filters." Thesis, University of Surrey, 2008. http://epubs.surrey.ac.uk/844254/.
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This thesis addresses the problem of tracking one or more objects in monocular video sequences for visual surveillance. Two probabilistic tracking frameworks are proposed. The first is a multi-cue-based tracking framework to fuse high-level object detection cues with low-level color and edge cues using particle filters, which is based on object-level data association. The second is a multi-object tracking framework to deal with tracking multiple objects with occlusions, which is based on feature-level data association. In the proposed multi-cue-based tracking framework using particle filters, an adaptive ICONDENSATION (AICONDENSATION) is presented to exploit object detection cues for adaptive importance sampling where the number of importance samples and the number of prior samples are adaptively changed. An adaptive detection fusion ICONDENSATION (AFCONDENSATION) is then proposed to directly fuse high- level object detection cues with low-level color and edge cues. Results on sequences with both simulated detections and real detections show the improved performance of the proposed AICONDENSATION and AFCONDENSATION in comparison with the ICONDENSATION. In the proposed multi-object tracking framework, a novel edge-based appearance model is first presented, where an object is modelled by a mixture of a non-parametric contour model and a non-parametric edge model using the kernel density estimation. Visual tracking using mixture models is then formulated as a Bayesian incomplete data problem where measurements in an image are associated with a generative model. The generative model is a mixture of mixture models including object models and a clutter model. Unobservable associations of measurements to densities in the generative model are regarded as missing data. A likelihood for tracking multiple objects jointly with an exclusion principle is also presented. Based on the formulation, multi-object tracking with the expectation-maximization algorithm (MOTEXATION) is presented and a variational particle filter (VPF) is then proposed to deal with the curse of dimensionality in multi-object tracking with particle filters. Results on challenging sequences with heavy occlusions demonstrate the performance of the proposed methods.
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Sodhi, Bir Apaar Singh. "DATA MINING: TRACKING SUSPICIOUS LOGGING ACTIVITY USING HADOOP." CSUSB ScholarWorks, 2016. https://scholarworks.lib.csusb.edu/etd/271.
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In this modern rather interconnected era, an organization’s top priority is to protect itself from major security breaches occurring frequently within a communicational environment. But, it seems, as if they quite fail in doing so. Every week there are new headlines relating to information being forged, funds being stolen and corrupt usage of credit card and so on. Personal computers are turned into “zombie machines” by hackers to steal confidential and financial information from sources without disclosing hacker’s true identity. These identity thieves rob private data and ruin the very purpose of privacy. The purpose of this project is to identify suspicious user activity by analyzing a log file which then later can help an investigation agency like FBI to track and monitor anonymous user(s) who seek for weaknesses to attack vulnerable parts of a system to have access of it. The project also emphasizes the potential damage that a malicious activity could have on the system. This project uses Hadoop framework to search and store log files for logging activities and then performs a ‘Map Reduce’ programming code to finally compute and analyze the results.
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Payne, Timothy Myles. "Remote detection using fused data /." Title page, abstract and table of contents only, 1994. http://web4.library.adelaide.edu.au/theses/09PH/09php3465.pdf.
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Thati, Satish Kumar, and Venkata Praneeth Mareedu. "Determining the Quality of Human Movement using Kinect Data." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13819.
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Health is one of the most important elements in every individual’s life. Even though there is much advancement in science, the quality of healthcare has never been up to the mark. This appears to be true especially in the field of Physiotherapy. Physiotherapy is the analysis of human joints and bodies and providing remedies for any pains or injuries that might have affected the physiology of a body. To give patients a top notch quality health analysis and treatment, either the number of doctors should increase, or there should be an alternative replacement for a doctor. Our Master Thesis is aimed at developing a prototype which can aid in providing healthcare of high standards to the millions. Methods: Microsoft Kinect SDK 2.0 is used to develop the prototype. The study shows that Kinect can be used both as Marker-based and Marker less systems for tracking human motion. The degree angles formed from the motion of five joints namely shoulder, elbow, hip, knee and ankle were calculated. The device has infrared, depth and colour sensors in it. Depth data is used to identify the parts of the human body using pixel intensity information and the located parts are mapped onto RGB colour frame. The image resulting from the Kinect skeleton mode was considered as the images resulting from the markerless system and used to calculate the angle of the same joints. In this project, data generated from the movement tracking algorithm for Posture Side and Deep Squat Side movements are collected and stored for further evaluation. Results: Based on the data collected, our system automatically evaluates the quality of movement performed by the user. The system detected problems in static posture and Deep squat based on the feedback on our system by Physiotherapist.
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Contro, Alessandro. "Multi-sensing Data Fusion: Target tracking via particle filtering." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16835/.
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In this Master's thesis, Multi-sensing Data Fusion is firstly introduced with a focus on perception and the concepts that are the base of this work, like the mathematical tools that make it possible. Particle filters are one class of these tools that allow a computer to perform fusion of numerical information that is perceived from real environment by sensors. For this reason they are described and state of the art mathematical formulas and algorithms for particle filtering are also presented. At the core of this project, a simple piece of software has been developed in order to test these tools in practice. More specifically, a Target Tracking Simulator software is presented where a virtual trackable object can freely move in a 2-dimensional simulated environment and distributed sensor agents, dispersed in the same environment, should be able to perceive the object through a state-dependent measurement affected by additive Gaussian noise. Each sensor employs particle filtering along with communication with other neighboring sensors in order to update the perceived state of the object and track it as it moves in the environment. The combination of Java and AgentSpeak languages is used as a platform for the development of this application.
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Li, Lingjie Luo Zhi-Quan. "Data fusion and filtering for target tracking and identification /." *McMaster only, 2003.
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Ji, Guangfeng. "Feature tracking and viewing for time-varying data sets." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1148658139.
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Mashad, Nemati Hassan. "Detection and Tracking of People from Laser Range Data." Thesis, Högskolan i Halmstad, Halmstad Embedded and Intelligent Systems Research (EIS), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-6102.
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In this thesis report, some of the most promising techniques, in the field of intelligent vehicles and mobile robotics, for detection and tracking of moving objects in an indoor environment are investigated. Kalman filter (KF), extended Kalman filter (EKF), and particle filters (PF) based techniques for the tracking of people are implemented and evaluated. A heuristic method is then proposed to improve the performance of the EKF based tracking in situations where moving objects are hidden by obstacles. The proposed method is based on points of maximum uncertainty (PMU) in occlusion situations and its complexity and accuracy is compared with PF method. The EKF, PF and PMU based methods are examined and compared using experimental data which are extracted by a laser range finder in an indoor environment with predefined hinders and people as the moving objects.
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Rea, Terry Allen. "Bearings-only tracking using data fusion and instrumental variables." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0034/MQ65885.pdf.
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Cohen, Tal. "A data approach to tracking and evaluating engineering changes." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/17971.
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Joodaki, Gholamreza. "Earth Mass Change Tracking Using GRACE Satellite Gravity Data." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for bygg, anlegg og transport, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23969.
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This project is dealing with the estimation of present-day Earth’s mass transport and its redistribution by using observations from Gravity Recovery and Climate Experiment (GRACE) satellite mission. GRACE measures the gravity fluctuations which are primarily related to redistribution of water around the globe. GRACE data has yield profound new insights into melting rates of ice sheets and mountain glaciers, land hydrology, ocean circulation, and sea level rise. In this project, first, the ice melting rate in the Greenlandic ice sheet is studied. This is done by analyzing the time series of monthly GRACE release 04 gravity field solutions from three different data sets, CSR (Center for Space Research), GFZ (Geoforschungszentrum), and JPL (Jet Propulsion Laboratory) with respect to their long-term temporal changes. The data are de-striped by applying a non-isotropic filter. Also, a method for reducing the leakage effects is developed. As an example, the ice mass balance is estimated of -163 ± 20 Gt/yr based on the CSR release 04 and smoothing by a parameter of a =1013 during April 2002 to February 2010. The results also show that the spatial distribution of the ice mass loss is changing with time and the ice mass loss is accelerating. For example, its acceleration is a rate of -32±6 Gt/yr2 during 2002 to 2011. The second part of this project is concern with the determination of water mass changes in the Nordic Seas. It is determined by analyzing the time series of monthly GRACE level 2 release 04 data from GFZ during October 2002 to October 2010. The striping errors are reduced by using a non-isotropic filter and the data are smoothed by a parameter of a =1014 according to Gaussian smoothing radius of 530 km. The time series of water mass changes are used to study the steric sea height variations over the Nordic Seas during the same period of study. This is done by analyzing the time series of monthly sea level anomaly from ENVISAT (Environmental Satellite) altimetry data, cycles 10 to 93, among the time series of water mass changes. The results show that the interdisciplinary nature of the GRACE measurements have opened up the unique opportunity to enhance our knowledge on the interaction between Earth system components and their response to climate variability. In the last part of this project, variations of the continental total water storage, total groundwater storage, and anthropogenic contributions across the Middle East are studied. By using a mascon analysis method and GRACE level 2 release 05 data from CSR during February 2003 to December 2012, the time series of total water storage, total ground water storage and anthropogenic contributions are estimated over this region. The region is subdivided to seven mascons including Iran, Iraq, Syria, eastern Turkey (east of 35º longitude), northern and southern Saudi Arabia (north and south of 25º latitude), and the region immediately west of Caspian Sea. The total groundwater storage, and anthropogenic contributions are separated from the total water storage by using the CLM4.5 (version 4.5 of the Community Land Model) hydrological model. The results show that Iran with a rate of 25±6 Gt/yr has the most groundwater loss rate during February 2003 to December 2012 in this region. The Iran’s rate of groundwater loss from the GRACE data is supported by an analysis of in situ well data from across Iran. The results also show that the GRACE mission is able to monitor monthly water storage changes within river basins and aquifers that are 200,000 km2 or larger in area, and, can contribute to water management at regional and national scales, and to international policy discussions as well.<br><p> </p><p> </p><p> </p>
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Anderson, David. "Feature tracking validation of storm tracks in model data." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269957.
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Stauffer, Christopher P. (Christopher Paul) 1971. "Perceptual data mining : bootstrapping visual intelligence from tracking behavior." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8111.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.<br>Includes bibliographical references (p. 161-166).<br>One common characteristic of all intelligent life is continuous perceptual input. A decade ago, simply recording and storing a a few minutes of full frame-rate NTSC video required special hardware. Today, an inexpensive personal computer can process video in real-time tracking and recording information about multiple objects for extended periods of time, which fundamentally enables this research. This thesis is about Perceptual Data Mining (PDM), the primary goal of which is to create a real-time, autonomous perception system that can be introduced into a wide variety of environments and, through experience, learn to model the activity in that environment. The PDM framework infers as much as possible about the presence, type, identity, location, appearance, and activity of each active object in an environment from multiple video sources, without explicit supervision. PDM is a bottom-up, data-driven approach that is built on a novel, robust attention mechanism that reliably detects moving objects in a wide variety of environments. A correspondence system tracks objects through time and across multiple sensors producing sets of observations of objects that correspond to the same object in extended environments. Using a co-occurrence modeling technique that exploits the variation exhibited by objects as they move through the environment, the types of objects, the activities that objects perform, and the appearance of specific classes of objects are modeled. Different applications of this technique are demonstrated along with a discussion of the corresponding issues.<br>(cont.) Given the resulting rich description of the active objects in the environment, it is possible to model temporal patterns. An effective method for modeling periodic cycles of activity is demonstrated in multiple environments. This framework can learn to concisely describe regularities of the activity in an environment as well as determine atypical observations. Though this is accomplished without any supervision, the introduction of a minimal amount of user interaction could be used to produce complex, task-specific perception systems.<br>by Christopher P. Stauffer.<br>Ph.D.
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Bedford, Cary C. "Wideband High Performance Telemetry Tracking and Data Reception System." International Foundation for Telemetering, 1988. http://hdl.handle.net/10150/615043.
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International Telemetering Conference Proceedings / October 17-20, 1988 / Riviera Hotel, Las Vegas, Nevada<br>A 5 meter diameter wideband polarization diversity Telemetry Tracking System has been developed for Eglin Air Force Base. A single solid state feed, with no moving parts, provides autotrack and data reception in the 1435-1540 MHz and 2200-2400 MHz bands. The system consists of three tracking antennas, each mounted on separate 75 foot high towers. The antennas feature continuous rotation capability in azimuth and remotely controlled stowing mechanisms. A common console containing test equipment, multicouplers, patch panels, RF switching, boresight source and control equipment is interfaced with the three (3) tracking antennas, receiver combiner systems, and boresite antenna. The complete system features total integration of state-of-the-art feed/RF, tracking, and control system electronics with a highly versatile sub-system of telemetry receivers, combiners, RF, and wideband high level video distribution equipment.
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Rea, Terry Allen. "Bearings-only tracking using data fusion and instrumental variables." Ottawa : National Library of Canada = Bibliothèque nationale du Canada, 2002. http://www.nlc-bnc.ca/obj/s4/f2/dsk1/tape4/PQDD%5F0034/MQ65885.pdf.
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Saleem, Filza. "A Data Acquisition Board Firmware for Pellet Tracking System." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-372181.
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The PANDA experiment requires precise information about the target position in the beam [3]. The target in form of frozen hydrogen 30um droplets called “pellets” moving at a speed of 60m/s is tracked by a system consisting of 8 line scan CCD cameras sending data to “Camera Link Boards”, where the data are merged and sent further to a data acquisition system for storage and subsequent analysis [15]. The aim of the thesis is to replace the current bulky Data Acquisition system with just one board ZYNQ Board constructed by P. Stamatakopoulos, G. Ntounas and P. Marciniewski [16] . In this thesis, the firmware is implemented in the ZYNQ Board having a Xilinx ZYNQ XC7Z030-1FBG484C. The ZYNQ Board receives data delivered by Camera Link Boards over four optical links running at 2Gb/s. The Data Acquisition system serves for data merging and retransmission over 1 Gb/s Ethernet. For implementing of the Data Acquisition system, the following three steps are followed. In the first step a custom IP is designed in Xilinx Vivado, which is responsible for receiving data from camera link boards, merging the data and storing them in data buffers. The IP also sends push-back signals to camera link boards for stopping the data flow. In the second step DAQ firmware is designed in block diagram using Xilinx Vivado IP Integrator. The purpose of DAQ firmware block design is to send the buffered data to ARM based Processing System (PS) of the ZYNQ via AXI-4 bus. In last step Linux Operating System is installed on the ARM processor for receiving data in ARM processor and sending data to a PC through Ethernet. The Firmware was tested first in the laboratory using an Integrated Logic Analyzer of Xilinx Vivado and then in the real environment of the The Svedberg Laboratory in Uppsala.
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URBANO, FERDINANDO. "Smart ecology : surfing the wave of wildlife tracking data." Doctoral thesis, Università IUAV di Venezia, 2015. http://hdl.handle.net/11578/278671.
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Jeong, Soonho Tugnait Jitendra K. "Topics in multisensor maneuvering target tracking." Auburn, Ala., 2005. http://repo.lib.auburn.edu/2005%20Summer/doctoral/JEONG_SOONHO_43.pdf.
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Su, Peng. "Signal Dependency Analysisand Status Propagation Tracking." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276770.
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In software engineering, analyzing the dependence of software modules and signals is a common method of verification and testing software behaviors. Through dependency analysis, users can improve the quality and operating efficiency of the code. Also, analyzing dependencies can reflect the working status of software modules. Software signal dependence is thus very important for software verification. However, how to perform the dependency analysis is an open question. Code review is a text-based analysis method. When faced with many dependencies, the readability is significantly reduced. It is also difficult for a code reviewer to track all dependencies on a single signal. By contrast, visual dependency is a relatively intuitive analysis method, which can express the dependency of signals visually.This thesis deals with the analysis and visualization of signal dependencies in the Engine Management System (EMS), which is an essential and complex software module in vehicles. There are usually hundreds of function modules in the EMS. Understanding their dependencies can help engineers diagnose and test the system accordingly. This topic has the following difficulties: (1) how to summarize the dependence of all elements from the source code; (2) how to express dependence; (3) how to visualize dependencies; (4) what tools are needed to achieve visualization of dependencies.To solve the above problems, we need to establish a corresponding toolchain. First, we use static analysis to extract dependencies from the source code. The static analysis here refers to use scripts to automatically analyze dependencies in the source code. The script includes setting up a parser to collect data. The purpose of the parser is to parse the pre-processing code and generate the corresponding intermediate file, which needs to indicate signal dependencies and other basic information. Then, we evaluate the analysis results and choose an appropriate visualization tool to represent the signal dependency. The results show that the signal dependency can be tracked, and the visualization can be implemented by using our designed toolchain. The results are intuitive and concise, and it has a strong application prospect.<br>I mjukvaruteknik är analys av beroende av mjukvarumoduler och signaler en vanlig metod för verifiering och testning av mjukvarubeteenden. Genom beroendeanalys kan användare förbättra kodens kvalitet och driftseffektivitet. Analys av beroenden kan också spegla arbetsstatus för mjukvarumoduler. Programsignalberoende är alltså mycket viktigt för programvaruverifiering. Hur man gör beroende-analysen är dock en öppen fråga. Kodgranskning är en textbaserad analysmetod. Vid många beroenden minskar läsbarheten avsevärt. Det är också svårt för en kodgranskare att spåra alla beroenden på en enda signal. Däremot är visuellt beroende en relativt intuitiv analysmetod, som visuellt kan uttrycka signalberoende.Denna avhandling behandlar analys och visualisering av signalberoenden i Engine Management System, som är en väsentlig och komplex mjukvarumodul i fordon. Det finns vanligtvis hundratals funktionsmoduler i EMS. Att förstå deras beroende kan hjälpa ingenjörer att diagnostisera och testa systemet i enlighet därmed. Detta ämne har följande svårigheter. (1) för att sammanfatta beroendet av alla element från källkoden; (2) hur man uttrycker beroende; (3) hur man kan visualisera beroenden; (4) vilka verktyg som behövs för att uppnå visualisering av beroenden.För att lösa ovanstående problem måste vi skapa en motsvarande verktygskedja. Först använder vi statisk analys för att extrahera beroenden från källkoden. Den statiska analysen hänvisar här till användningen av skript för att automatiskt analysera beroenden i källkoden, vilket inkluderar att ställa in en parser för att samla data från källkoden. Syftet med parsaren är att analysera förbehandlingskoden och generera motsvarande data. Uppgifterna måste indikera signalberoende och annan grundläggande information. Sedan väger vi analysresultaten och väljer lämpligt visualiseringsverktyg för att representera signalberoendet. Resultaten vi erhöll visar att signalberoendet kan spåras och visualiseringen kan implementeras med vår designade verktygskedja. Resultaten är intuitiva och kortfattade och det har en stark applikationsutsikter.
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Tellier, Sonia L. "Tracking Turnaround: Understanding Data Use as a Shared Leadership Practice." Thesis, Boston College, 2018. http://hdl.handle.net/2345/bc-ir:107991.
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Thesis advisor: Martin Scanlan<br>This qualitative case study examined leaders’ shared data use, a process of translating data into action (Bernhardt, 2013). Understanding data use is considered conceptually by attending to the assistance relationships shared between central office leaders and principals in the context of turnaround. Such relationships are marked by occasions during which members share expertise by modeling practices; the modeling informs how systems, structures and subsequent practices are introduced and even reinforced for newer members. I focused my analysis on four manifestations of data use: data’s influence on adjusting leadership practice, data’s ability to inform instruction, data use’s benefits from technological advancement, and the intentional promotion of resilience. Data collection included document review as well as interviews with central office leaders and principals. Findings evidenced the nature of both central office leaders’ and principals’ data use as well as revealed a remarkable degree of commonality in the language and practices these leaders shared. The results of this study indicated that assistance relationships are a functioning element of leadership in the turnaround context. This study supported the research that leaders’ shared practice of data use benefits student growth and achievement in line with state-determined assessment and accountability targets. Recommendations include additional research into Lawrence Public Schools’ data use to further inform a blueprint for comprehensive district-wide reform as well as the development of exit criteria from receivership<br>Thesis (EdD) — Boston College, 2018<br>Submitted to: Boston College. Lynch School of Education<br>Discipline: Educational Leadership and Higher Education
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Li, Jiang. "A Data Access Tracking Approach for Memory Analysis and Bad Data Access Pattern Detecting." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-15194.
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Pedroza, Moises. "TRACKING RECEIVER NOISE BANDWIDTH SELECTION." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/607591.
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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>The selection of the Intermediate Frequency (IF) bandwidth filter for a data receiver for
processing PCM data is based on using a peak deviation of 0.35 times the bit rate. The
optimum IF bandwidth filter is equal to the bit rate. An IF bandwidth filter of 1.5 times the
bit rate degrades the data by approximately 0.7 dB. The selection of the IF bandwidth
filter for tracking receivers is based on the narrowest “noise bandwidth” that will yield the
best system sensitivity. In some cases the noise bandwidth of the tracking receiver is the
same as the IF bandwidth of the data receiver because it is the same receiver. If this is the
case, the PCM bit rate determines the IF bandwidth and establishes the system sensitivity.
With increasing bit rates and increased transmitter stability characteristics, the IF
bandwidth filter selection criteria for a tracking receiver must include system sensitivity
considerations. The tracking receiver IF bandwidth filter selection criteria should also be
based on the narrowest IF bandwidth that will not cause the tracking errors to be masked
by high bit rates and alter the pedestal dynamic response.
This paper describes a selection criteria for a tracking receiver IF bandwidth filter based
on measurements of the tracking error signals versus antenna pedestal dynamic response.
Different IF bandwidth filters for low and high bit rates were used.
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Romine, Jay Brent. "Fusion of radar and imaging sensor data for target tracking." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/13324.
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Ejnestrand, Ida, and Linnéa Jakobsson. "Object Tracking based on Eye Tracking Data : A comparison with a state-of-the-art video tracker." Thesis, Linköpings universitet, Datorseende, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166007.
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The process of locating moving objects through video sequences is a fundamental computer vision problem. This process is referred to as video tracking and has a broad range of applications. Even though video tracking is an open research topic that have received much attention during recent years, developing accurate and robust algorithms that can handle complicated tracking tasks and scenes is still challenging. One challenge in computer vision is to develop systems that like humans can understand, interpret and recognize visual information in different situations. In this master thesis work, a tracking algorithm based on eye tracking data is proposed. The aim was to compare the tracking performance of the proposed algorithm with a state-of-the-art video tracker. The algorithm was tested on gaze signals from five participants recorded with an eye tracker while the participants were exposed to dynamic stimuli. The stimuli were moving objects displayed on a stationary computer screen. The proposed algorithm is working offline meaning that all data is collected before analysis. The results show that the overall performance of the proposed eye tracking algorithm is comparable to the performance of a state-of-the-art video tracker. The main weaknesses are low accuracy for the proposed eye tracking algorithm and handling of occlusion for the video tracker. We also suggest a method for using eye tracking as a complement to object tracking methods. The results show that the eye tracker can be used in some situations to improve the tracking result of the video tracker. The proposed algorithm can be used to help the video tracker to redetect objects that have been occluded or for some other reason are not detected correctly. However, ATOM brings higher accuracy.
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Daita, Ananda Rohit. "The Art and Science of Data Analysis." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157624/.
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This thesis aims to utilize data analysis and predictive modeling techniques and apply them in different domains for gaining insights. The topics were chosen keeping the same in mind. Analysis of customer interests is a crucial factor in present marketing trends and hence we worked on twitter data which is a significant part of digital marketing. Neuroscience, especially psychological behavior, is an important research area. We chose eye tracking data based on which we differentiated human concentration while watching controllable (video game) videos and uncontrollable (sports) videos. Currently, cities are using data analysis for becoming smart cities. We worked on the City of Lewisville emergency services data and predicted the vehicle-accident-prone areas for development of precautionary measures in those areas.
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Wiklander, Gustav. "Real time tracking in truck fleet management." Thesis, Uppsala universitet, Avdelningen för datorteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-328404.
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This thesis researches Scania's challenge to display the position oftrucks, with high accuracy and good user experience while with minimalposition transfers from the truck. This thesis presents an eventtriggered position update (ETPU) algorithm for sending positions fromthe truck along with real time estimation on the client. The key pointwith this system is that the truck computes the same estimation toevaluate its accuracy and sends a new position if the estimate isinsufficient. This achieves a system in which position updates areonly done when needed to achieve a selected accuracy. Simulations weredone and metrics for: accuracy, data consumption and user experiencewere applied for evaluation. Results are presented to inform thereaders of the ETPU's potential.
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Yongqian, Wang, Li Xianliang, and Zhang Qishan. "A Vehicle Tracking System Based on GPS." International Foundation for Telemetering, 1995. http://hdl.handle.net/10150/611591.
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International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada<br>Vehicle tracking system based on GPS has been paid more and more attention. The system consists of GIS (Geological Information System), master station, movable station and communication network. Movable stations installed on automobiles transmit their position and status messages to the master station. All vehicles' tracks are drawn on the electrical map displayed by the master station's computer screen in real time. Vehicles' alarming signals can also be transmitted to the master station simultaneously. This paper presents a whole designing scheme of the vehicle tracking system, then it makes a thorough introduction to the system's performance and working procedure. The key technologies employed by the system and the relations between them are also discussed in details in the paper.
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Andersson, Martin. "Peer-to-peer supercomputing: de-centalized data tracking and processing." Thesis, KTH, Fysik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-95352.
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Ma, Yingdong. "Utilization of 3D scene data for improving segmentation and tracking." Thesis, University of Surrey, 2009. http://epubs.surrey.ac.uk/844632/.
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A fundamental goal of computer vision is the ability to detect and track semantic objects. This can benefit many applications ranging from video compression to video content analysis. Although humans can easily identify changes in meaningful objects in a video sequence, automatic detection and identification of semantic video objects is still a difficult task for current computer vision research due to challenges including cluttered backgrounds, arbitrary non-rigid motion, changing appearance patterns of non-rigid objects, and partial or full object occlusions. The key to address these challenges is to improve current computer vision systems with the flexibility to handle new input. Recent developments in 3D data acquisition technologies facilitate the provision of different types of depth information for objects and video scenes. Thus, this thesis aims to address the development of techniques for better utilization of 3D scene data in semantic object segmentation and tracking. The video object detection problem is addressed by means of a depth and motion based video object segmentation approach. The combination of depth map segmentation and motion detection forms the foreground object masks. A depth assisted multiple objects tracking system is developed based on these object masks. The proposed tracking algorithm utilizes a stereo-vision system's ability of separating occluding objects at different depth layers where different tracking strategies are employed according to the various occlusion situations and object depth layers. To further improve the performance of video object detection and identification, this thesis explores the issues of 3D objects and scene model reconstruction, which can reveal the geometric relationship between moving objects. The proposed approach combines the advantages of Delaunay triangulation method and the region growing method to achieve efficient surface reconstruction. Furthermore, a fuzzy clustering based 3D object decomposition algorithm is also discussed. Decomposing objects into meaningful components recovers useful structural properties of a 3D object. Thus, it is an important step for object recognition and video content analysis.
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Bystam, Fredrik. "Improving motion tracking using gyroscope data in Augmented Reality applications." Thesis, KTH, Datorseende och robotik, CVAP, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166186.
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As commissioned by Bontouch AB, this project contains the attempt to create an Augmented Reality application for smartphones, where a parcel is visualised in order for a user to get a comprehensive image of the parcel size. The main focus of the project was to create an eectively running en- gine that can process images for computer vision, in order to determine the pose of the smartphone camera. The experi- ment explored the possibilities of using gyroscope measure- ments between input images in order to formulate valid as- sumptions of upcoming images using homographies. These assumptions were meant to unburden the computer vision engine, creating very high performance. The ultimate goal of the engine was to track the motion of a known reference object in the image, with high precision. The proposed method performed adequately, improving reliability of the motion tracking algorithms. The resulting mobile application, run on an iPhone 5S, could perform camera pose estimation at up to 60 times per second, at a video camera feed resolution of 1280x720 pixels. This high performance resulted in a very stable rendition of the parcel.<br>Som ett uppdrag från Bontouch AB innehåller det här pro- jektet ett försök att skapa en Augmented Reality-applikation för smartphones, där postpaket ska visualiseras för att ge användare en förstärkt bild av paketets storlek. Huvudfo- kus i projektet var att bygga en eektiv motor som kan behandla bilder för datorseende, för att beräkna positionen och riktningen på mobilkameran. Experimentet utforskade möjligheterna för att använda gyroskopdata mellan bilder för att formulera giltiga antaganden hos kommande bilder med hjälp av homografier. Dessa antaganden vad ämna- de att avlasta motorn för datorseende, för att åstadkomma hög prestanda. Målet var att motorn skulle följa rörelsen hos ett givet referensobjekt i bilden, och att göra det med hög precision. Den föreslagna metoden presterade tillräckligt, och för- bättrade pålitligheten hos algoritmerna för att följa objek- tets rörelser. Mobilapplikationen som byggdes, och kördes på iPhone 5S, kunde beräkna kamerans position of riktning upp till 60 gånger per sekund, när videokameran försåg mo- torn med bilder med 1280x720 pixlars upplösning. Den höga prestandan resulterade i en väldigt stabil bild av paketet.
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Rickman, Jackie Lynn. "Predicting high quality AFQT with youth attitude tracking study data." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/26705.
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Mazarico, Erwan Matías Alexandre 1981. "Study of the Martian upper atmosphere using radio tracking data." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/42923.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references.<br>Since the first in situ observations of the Martian atmosphere were made by the twin Viking landers, we have learned considerably more about its composition, dynamics and variability. Not only did the new data on global atmospheric densities generate opportunities to understand the atmospheric composition of early Mars and supply constraints at the upper limit of General Circulation Models, it is critical for the design and planning of future exploration missions. We can complement the successes of remote sensing and accelerometer investigations by using radio tracking data that have not been studied from an atmospheric science perspective, or are available for the first time. Due to the very low density of the higher layers atmosphere, the estimation of the drag acceleration using Precision Orbit Determination is a challenge. We developed new numerical models of the non-conservative forces acting on the spacecraft. In particular, the spacecraft crosssectional area is calculated using improved spacecraft macro-models which include interplate shadowing. These improvements in the force modeling enable a more robust estimation of the atmospheric density. The density structure from the middle atmosphere up to the exosphere is studied using radio tracking data from the Mars Odyssey and the Mars Reconnaissance Orbiter spacecraft. Measurements in the Martian middle atmosphere, near 100 -- 110 km, are obtained from the aerobraking phase of the Mars Odyssey spacecraft; we obtain periapsis density estimates consistent with the Accelerometer Team, and estimate scale heights representative of the drag environment from an operational point of view. The orbit of Mars Odyssey during its mapping and extended phases allows us to probe very high in the exosphere, near 400 km altitude. In the retrieved density time series, we observe some of the features of solar forcing and seasonal cycle predicted by different atmospheric models.<br>(cont.) The most recent radio tracking data, from the Mars Reconnaissance Orbiter mapping mission, enables a monitoring of densities near 250 -- 300 km at higher temporal and spatial resolutions, allowing a more detailed study than previously possible.<br>by Erwan Mazarico.<br>Ph.D.
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Lee, David Ph D. Massachusetts Institute of Technology. "Transforming waste management systems through location tracking and data sharing." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101370.
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Thesis: Ph. D. in Urban and Regional Planning, Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>This dissertation investigates how location tracking technologies can transform municipal solid waste management in smart cities. While waste is often tracked in aggregate as it flows between and through handling facilities, there have been few attempts to follow individual trash items geographically using GPS and web-based mapping. Such data change the interaction between citizens, local government, and service providers, by revealing inefficiencies or fraud in disposal practices, or building trust between stakeholders and enabling alternative approaches for contracting waste services. Five essays demonstrate various designs and evaluations of real-time waste tracking systems, identify challenges and opportunities for incorporating these tools, and show how developed and developing cities can learn from each other. The first essay presents a system where individuals electronically tag a trash item, and view its movements in real-time. By surveying volunteers who participated in this experiment, it shows how this feedback can significantly improve their knowledge of how waste systems operate and where different types end up. The second essay extends this method for tracking hazardous electronic waste, such as CRT monitors, when illegally exported from high- to low-income countries. This information allows activist groups to investigate smuggling routes and support public agencies in enforcing international law. The third and fourth essays implement waste tracking in Brazil and Kenya, where many cities rely on informal workers to collect and recycle trash. By carrying smartphones tracking their location, waste pickers can map their own movements, waste generation, and material flow across the city. This allows them to organize more efficient routes, coordinate actions in real-time, and negotiate more favorable partnerships with government and private clients. Planners also benefit from crowdsourced data in informal areas. Looking to the future, the fifth essay considers how formal waste collection services could be made transparent, and how this supports crowdsourcing efforts to improve their efficiency and better meet resident needs. Doing so requires design of both real-time urban dashboards and citizen feedback mobile applications. The result transforms how cities benchmark effective municipal services and strive for high quality urban environments.<br>by David Lee.<br>Ph. D. in Urban and Regional Planning