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Dissertations / Theses on the topic 'Biometrisk Data'

Author: Grafiati

Published: 23 June 2021

Last updated: 29 July 2025

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1

Nytorpe, Piledahl Staffan, and Daniel Dahlberg. "Detektering av stress från biometrisk data i realtid." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31248.

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At the time of writing, stress and stress related disease have become the most common reasons for absence in the workplace in Sweden. The purpose of the work presented here is to identify and notify people managing unhealthy levels of stress. Since symptoms of mental stress manifest through functions of the Sympathetic Nervous System (SNS), they are best measured through monitoring of SNS changes and phenomena. In this study, changes in the sympathetic control of heart rate were recorded and analyzed using heart rate variability analysis and a simple runner’s heart rate sensor connected to a s

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2

Madsen, Angelica, and Carl Nymanson. "Bör du v(AR)a rädd för framtiden? : En studie om The Privacy Paradox och potentiella integritetsrisker med Augmented Reality." Thesis, Malmö universitet, Malmö högskola, Institutionen för datavetenskap och medieteknik (DVMT), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43868.

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I en tid där digitaliseringen är mer utbredd än någonsin ökar också mängden data som samlas och delas online. I takt med att nya tekniker utvecklas öppnas det upp för nya utmaningar för integritetsfrågor. En aktiv användare online ägnar sig med största sannolikhet också åt ett eller flera sociala medier, där ändamålen ofta innebär att dela med sig av information till andra. Eftersom tekniken Augmented Reality används mer frekvent i några av de största sociala medieapplikationerna blev studiens syfte att undersöka potentiella integritetsproblem med Augmented Reality. Studiens tillvägagångssätt

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3

Pisani, Paulo Henrique. "Biometrics in a data stream context." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-08052017-141153/.

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The growing presence of the Internet in day-to-day tasks, along with the evolution of computational systems, contributed to increase data exposure. This scenario highlights the need for safer user authentication systems. An alternative to deal with this is by the use of biometric systems. However, biometric features may change over time, an issue that can affect the recognition performance due to an outdated biometric reference. This effect can be called as template ageing in the area of biometrics and as concept drift in machine learning. It raises the need to automatically adapt the biometri

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Brobeck, Stefan, and Tobias Folkman. "Biometrics : Attitudes and factors influencing a breakthrough in Sweden." Thesis, Jönköping University, JIBS, Business Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-148.

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<p>Biometrics is a collection of methods for identifying and authorizing individuals with something they are, or do. It is considered to be one of the most secure technologies for security, both physical and logical. Security is something very important for organizations today, but yet there has been a low interest in investing in biometrics for security in Sweden.</p><p>The purpose of this thesis has been to establish factors to why biometrics has not been implementedto any large extent, even though the technology has been around for long. We have evaluated the attitudes and views of individu

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McNulty, Peggy Sue. "Values issues in biometric data collection." Connect to Electronic Thesis (CONTENTdm), 2009. http://worldcat.org/oclc/525070842/viewonline.

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6

Ugail, Hassan, and Eyad Elyan. "Efficient 3D data representation for biometric applications." IOS Press, 2007. http://hdl.handle.net/10454/2683.

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Yes<br>An important issue in many of today's biometric applications is the development of efficient and accurate techniques for representing related 3D data. Such data is often available through the process of digitization of complex geometric objects which are of importance to biometric applications. For example, in the area of 3D face recognition a digital point cloud of data corresponding to a given face is usually provided by a 3D digital scanner. For efficient data storage and for identification/authentication in a timely fashion such data requires to be represented using a few parameters

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Lam, Lawrence G. "Digital Health-Data platforms : biometric data aggregation and their potential impact to centralize Digital Health-Data." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/106235.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 81).<br>Digital Health-Data is being collected at unprecedented rates today as biometric micro sensors continue to diffuse into our lives in the form of smart devices, wearables, and even clothing. From this data, we hope to learn more about preventative health so that we can spend less money on the doctor. To help users aggre

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8

Jašková, Jitka. "Zpracování osobních údajů v rámci EU se zřetelem na policejní a justiční spolupráci." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-18247.

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The thesis deals with the approach level, meaning, purpose and benefit of personal data protection in their processing within police and judicial cooperation in the EU. In the introduction the fundamental issues of personal data protection in the context of the EU and the Czech republic are defined, focusing on terminology and explanations of current issues, particularly the area of biometric data and data retention. Extra attention is also given to the conflict of the right to privacy, and the related right to personal data protection and protection of public interests and safety. After that

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Khanna, Tania. "Low power data acquisition for microImplant biometric monitoring of tremors." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78448.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 97-100).<br>In recent years, trends in the medical industry have created a growing demand for implantable medical devices. In particular, the need to provide doctors a means to continuously monitor biometrics over long time scales with increased precision is paramount to efficient healthcare. To make medical implants more attractive, there is a need to reduce their size and power consumption. Smal

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10

Mai, Guangcan. "Biometric system security and privacy: data reconstruction and template protection." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/544.

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Biometric systems are being increasingly used, from daily entertainment to critical applications such as security access and identity management. It is known that biometric systems should meet the stringent requirement of low error rate. In addition, for critical applications, the security and privacy issues of biometric systems are required to be concerned. Otherwise, severe consequence such as the unauthorized access (security) or the exposure of identity-related information (privacy) can be caused. Therefore, it is imperative to study the vulnerability to potential attacks and identify the

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Stevenson, Brady Roos. "Analysis of Near-Infrared Phase Effects on Biometric Iris Data." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1299.

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The purpose of this research is to ascertain potential iris scan data variations from near infrared waves derived from fluorescent illumination. Prior studies of iris data variances from infrared wave interference of halogen, incandescent, and sunlight with iris cameras suggest that similar changes may exist under near infrared wavelengths from fluorescent light. The concern is that the fluorescent energy emission may interfere with the near infrared detection of an iris camera. An iris camera is used to measure human eye characteristics known as biometrics. If such infrared emission is statis

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12

Abernethy, Mark. "User Authentication Incorporating Feature Level Data Fusion of Multiple Biometric Characteristics." Thesis, Abernethy, Mark (2011) User Authentication Incorporating Feature Level Data Fusion of Multiple Biometric Characteristics. PhD thesis, Murdoch University, 2011. https://researchrepository.murdoch.edu.au/id/eprint/10609/.

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This PhD research project developed and evaluated innovative approaches to computer system user authentication, using biometric characteristics. It involved experiments with a significant number of participants and development of new approaches to biometric data representation and analysis. The initial authentication procedure, that we all perform when we log onto a computer system, is considered to be the first line of protection for computer systems. The password is the most common verification token used in initial authentication procedures. Unfortunately, passwords are subject to numer

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Pratt, Jamie M. "The Effects of Worksite Health Promotion Programs on Employee Biometric Data." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/5752.

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INTRODUCTION: Worksite health promotion programs (WHPP) promote maintenance and changes of health-related behaviors of employees. Some companies opt to contract with a third party provider to implement a WHPP. PURPOSE: This study evaluated the participation rates, availability and use of health coaching, and changes in biometric data over a 2-year time period of employees in 13 companies for whom the WHPP was implemented by Wellness Corporate Solutions (WCS). METHODS: We had 2 years of biometric, health risk appraisal (HRA), or health coaching data on 4,473 employees. The statistical analysis

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Maghsoudi, Javid. "A Behavioral Biometrics User Authentication Study Using Motion Data from Android Smartphones." Thesis, Pace University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10690910.

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<p> This is a study of the behavioral biometric of smartphone motion to determine the potential accuracy of authenticating users on smartphone devices. The study used the application Sensor Kinetics Pro and the Weka machine-learning library to analyze accelerometer and gyroscope data. The study conducted three experiments for the research. They were conducted in spring 2015, fall 2015, and spring 2016. The final experiment in spring 2016 used six Android-based smartphones to capture data from 60 participants and each participant performed 20 trials of two motions: bringing the phone up to eye

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Savaluny, Elly. "Analysis of ordered categorical data : partial proportional odds and stratified models." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326978.

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Giesing, Ilse. "User perception related to identification through biometrics within electronic business." Pretoria : [s.n.], 2003. http://upetd.up.ac.za/thesis/available/etd-01092004-141637.

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MALIK, NIKITA. "MULTIVIEW HUMAN GAIT ANALYSIS USING THE FIRST AND THIRD PERSON DATA." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18823.

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The gait of a person is often used as a biometric tool to identify or classify a person based on gender and age. Because of its ability to track a person from afar, gait recognition has found use in a variety of fields, including forensics, surveillance, and health monitoring departments. Biometric systems is a rapidly emerging area that necessitates the development of new methods to address problems that have plagued previous approaches. Human gait is a less-explored region in the field of biometrics. In this Project, two different types of gait datasets have been reported and presented

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Aronsson, Erik. "Biometric Authentication and Penetration of Smartphones." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37713.

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This study aims to examine the function and vulnerabilities of biometric systemsintegrated in smartphones, as well as techniques for circumventing the securityof these systems. These techniques are then used against a selection of smart-phones in order to gauge the resilience of their biometric security. The function,vulnerabilities, and techniques associated with these systems are compiled usinga literature study of published papers and books on the subject. The performedexperiments apply these techniques in the form of presentation attacks directed atthe fingerprint-, face- and iris recognit

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19

Lodrová, Dana. "Bezpečnost biometrických systémů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-261226.

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Hlavním přínosem této práce jsou dva nové přístupy pro zvýšení bezpečnosti biometrických systémů založených na rozpoznávání podle otisků prstů. První přístup je z oblasti testování živosti a znemožňuje použití různých typů falešných otisků prstů a jiných metod oklamání senzoru v průběhu procesu snímání otisků. Tento patentovaný přístup je založen na změně barvy a šířky papilárních linií vlivem přitlačení prstu na skleněný podklad. Výsledná jednotka pro testování živosti může být integrována do optických senzorů. Druhý přístup je z oblasti standardizace a zvyšuje bezpečnost a interoperabilitu

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Ara?jo, Rayron Victor Medeiros de. "A probabilistic analysis of the biometrics menagerie existence: case study in fingerprint data." Universidade Federal do Rio Grande do Norte, 2016. http://repositorio.ufrn.br/handle/123456789/21032.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "GMS Medizinische Informatik, Biometrie und Epidemiologie." German Medical Science, 2005. https://ul.qucosa.de/id/qucosa%3A12911.

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Baraldi, Carlo. "La sicurezza dei dati biometrici nella firma grafometrica. Aspetti giuridici e tecnologici." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6682/.

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La firma grafometrica è la sottoscrizione autografa eseguita con uno stilo elettronico su un dispositivo di acquisizione digitale e rappresenta ad oggi nel panorama delle tipologie di firma elettroniche una realtà a tutti gli effetti realizzabile. Questa tipologia di firma elettronica fonda il proprio valore sulle caratteristiche di universalità, unicità, permanenza e collezionabilità dei dati biometrici. Il successo della firma grafometrica è da ricercare invece nella sua stessa natura di firma, in quanto l'uomo da sempre è stato abituato ad eseguire il gesto dell'apposizione della propria fi

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie (GMDS). "Biometrie und Informatik in Medizin und Biologie." Fischer, 2014. https://ul.qucosa.de/id/qucosa%3A12566.

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Ulmer. "Biometrie und Informatik in Medizin und Biologie." Fischer, 1991. https://ul.qucosa.de/id/qucosa%3A12649.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 1995. https://ul.qucosa.de/id/qucosa%3A11661.

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Leonard, Dwayne Christopher. "A Framework for the Creation of a Unified Electronic Medical Record Using Biometrics, Data Fusion and Belief Theory." Scholarly Repository, 2007. http://scholarlyrepository.miami.edu/oa_dissertations/246.

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The technology exists for the migration of healthcare data from its archaic paper-based system to an electronic one and once in digital form, to be transported anywhere in the world in a matter of seconds. The advent of universally accessible healthcare data benefits all participants, but one of the outstanding problems that must be addressed is how to uniquely identify and link a patient to his or her specific medical data. To date, a few solutions to this problem have been proposed that are limited in their effectiveness. We propose the use of biometric technology within our FIRD framework i

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 1994. https://ul.qucosa.de/id/qucosa%3A12694.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 1996. https://ul.qucosa.de/id/qucosa%3A12698.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 1997. https://ul.qucosa.de/id/qucosa%3A12700.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 1999. https://ul.qucosa.de/id/qucosa%3A12701.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 2003. https://ul.qucosa.de/id/qucosa%3A12708.

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Sinsel, Adam R. "Supporting the maritime information dominance: optimizing tactical network for biometric data sharing in maritime interdiction operations." Thesis, Monterey, California: Naval Postgraduate School, 2015. http://hdl.handle.net/10945/45257.

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Approved for public release; distribution is unlimited<br>This research intends to improve information dominance in the maritime domain by optimizing tactical mobile ad hoc network (MANET) systems for wireless sharing of biometric data in maritime interdiction operations (MIO). Current methods for sharing biometric data in MIO are unnecessarily slow and do not leverage wireless networks at the tactical edge to maximize information dominance. Field experiments allow students to test wireless MANETs at the tactical edge. Analysis is focused on determining optimal MANET design and implementation.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 1993. https://ul.qucosa.de/id/qucosa%3A12689.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 2000. https://ul.qucosa.de/id/qucosa%3A12705.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 1998. https://ul.qucosa.de/id/qucosa%3A12720.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 2001. https://ul.qucosa.de/id/qucosa%3A12737.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Urban & Fischer, 2002. https://ul.qucosa.de/id/qucosa%3A12707.

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Deutsche, Gesellschaft für Medizinische Informatik Biometrie und Epidemiologie. "Informatik, Biometrie und Epidemiologie in Medizin und Biologie: offizielles Organ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V." Elsevier, Urban & Fischer, 2004. https://ul.qucosa.de/id/qucosa%3A12725.

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Li, Jiawei. "Person re-identification with limited labeled training data." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/541.

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With the growing installation of surveillance video cameras in both private and public areas, it is an immediate requirement to develop intelligent video analysis system for the large-scale camera network. As a prerequisite step of person tracking and person retrieval in intelligent video analysis, person re-identification, which targets in matching person images across camera views is an important topic in computer vision community and has been received increasing attention in the recent years. In the supervised learning methods, the person re-identification task is formulated as a classifica

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Costa, Leandro Garcia da. "Crescimento, desenvolvimento e consumo hídrico de cana-de-açúcar sob dois sistemas de manejo da palha." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-23012017-150113/.

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A determinação da quantidade ideal de palha sobre o solo é uma das questões mais discutidas pelo setor sucroenergético, visto que este resíduo vegetal pode ser considerado um subproduto da cana-de-açúcar destinado à produção de etanol celulósico e cogeração de energia elétrica. Para estabelecer estes valores é necessário considerar as necessidades da cultura, juntamente com características físico-químicas e biológicas do solo. Os modelos de culturas baseados em processos (MCPs), especificamente o APSIM-Sugar, capaz de simular a matéria orgânica sobre o solo, pode ser utilizado em conjunto com

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Blommé, Johan. "Evaluation of biometric security systems against artificial fingers." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1145.

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<p>Verification of users’ identities are normally carried out via PIN-codes or ID- cards. Biometric identification, identification of unique body features, offers an alternative solution to these methods. </p><p>Fingerprint scanning is the most common biometric identification method used today. It uses a simple and quick method of identification and has therefore been favored instead of other biometric identification methods such as retina scan or signature verification. </p><p>In this report biometric security systems have been evaluated based on fingerprint scanners. The evaluation method fo

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Zvak, Martin. "Získávání dat z tabletu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218576.

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Reliable authorization and authentication is now becoming necessary for many everyday activities such as boarding an aircraft, doing financial transactions etc. This work deals with the possibility of proposing an appropriate method of acquisition, processing and evaluation of data from the tablet itself, focusing on the possibility of obtaining data from the graphics tablet used in conjunction with a personal computer, for the purpose of verifying identity. It contains an overview of biometrics, as independent developing science over the last decades of the 20th century to the present, a summ

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Anantharajah, Kaneswaran. "Robust face clustering for real-world data." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/89400/1/Kaneswaran_Anantharajah_Thesis.pdf.

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This thesis has investigated how to cluster a large number of faces within a multi-media corpus in the presence of large session variation. Quality metrics are used to select the best faces to represent a sequence of faces; and session variation modelling improves clustering performance in the presence of wide variations across videos. Findings from this thesis contribute to improving the performance of both face verification systems and the fully automated clustering of faces from a large video corpus.

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Boyanapally, Deepthi. "MERGING OF FINGERPRINT SCANS OBTAINED FROM MULTIPLE CAMERAS IN 3D FINGERPRINT SCANNER SYSTEM." UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_theses/510.

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Fingerprints are the most accurate and widely used biometrics for human identification due to their uniqueness, rapid and easy means of acquisition. Contact based techniques of fingerprint acquisition like traditional ink and live scan methods are not user friendly, reduce capture area and cause deformation of fingerprint features. Also, improper skin conditions and worn friction ridges lead to poor quality fingerprints. A non-contact, high resolution, high speed scanning system has been developed to acquire a 3D scan of a finger using structured light illumination technique. The 3D scanner sy

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Giersberg, Mona Franziska [Verfasser]. "Collection of biometric data as an animal based approach for the assessment of minimum space requirements in livestock farming / Mona Franziska Giersberg." Hannover : Bibliothek der Tierärztlichen Hochschule Hannover, 2017. http://d-nb.info/1136159762/34.

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Karlsson, Andreas. "Estimation and Inference for Quantile Regression of Longitudinal Data : With Applications in Biostatistics." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7186.

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Oskarsson, Tim. "Digital incursion: Breaching the android lock screen and liberating data." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44939.

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Android is the most used operating system in the world, because of this the probability of an android device being acquired in an investigation is high. To begin to extract data from an android device you first need to gain access to it. Mechanisms like full system encryption can make this very difficult. In this paper, the advantages and disadvantages of different methods of gaining access and extracting data from an android device with an unlocked bootloader are discussed. Many users unlock the bootloader of their android device to gain a much greater level of control over it. Android forens

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Giesa, Anette Isabella. "Play for the Black Box — Using Critical Play to raise awareness of data privacy issues." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23959.

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In the development of digitally connected solutions that require the use of personal data, the issue of data privacy is an important factor that must be taken into account. Simply informing users about how data is used and getting their consent with a simple click is not enough to create awareness of the issue of data privacy and let them make a conscious decision about the use of their personal data. Furthermore, there is a big gap in knowledge about what personal data is and what is considered sensitive data. Especially the knowledge about what biometric identifiers that they are used in a v

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Banerjea-Brodeur, Nicolas Paul. "Advance passenger information passenger name record : privacy rights and security awareness." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=80909.

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An in-depth study of Advance Passenger Information and Passenger Name Record has never been accomplished prior to the events of September 11 th. It is of great importance to distinguish both of these concepts as they entail different legal consequence. API is to be understood as a data transmission that Border Control Authorities possess in advance in order to facilitate the movements of passengers. It is furthermore imperative that harmonization and inter-operability between States be achieved in order for this system to work. Although the obligations seem to appear for air carriers to

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Suutala, J. (Jaakko). "Learning discriminative models from structured multi-sensor data for human context recognition." Doctoral thesis, Oulun yliopisto, 2012. http://urn.fi/urn:isbn:9789514298493.

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Abstract In this work, statistical machine learning and pattern recognition methods were developed and applied to sensor-based human context recognition. More precisely, we concentrated on an effective discriminative learning framework, where input-output mapping is learned directly from a labeled dataset. Non-parametric discriminative classification and regression models based on kernel methods were applied. They include support vector machines (SVM) and Gaussian processes (GP), which play a central role in modern statistical machine learning. Based on these established models, we propose var

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