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Relevant bibliographies by topics / Interface detection / Dissertations / Theses

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Dissertations / Theses on the topic 'Interface detection'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 December 2023

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1

Valsan, Gopal. "Brain computer interface using detection of movement intention." Thesis, University of Strathclyde, 2007. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=23482.

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2

Katti, Amogh. "Epidemic failure detection and consensus for message passing interface (MPI)." Thesis, University of Reading, 2016. http://centaur.reading.ac.uk/69932/.

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3

Mohd, Masnizah. "Design and evaluation of an Interactive Topic Detection and Tracking interface." Thesis, University of Strathclyde, 2010. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=12776.

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4

Ignat, Simon, and Filip Mattsson. "Eye Blink Detection and Brain-Computer Interface for Health Care Applications." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200571.

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5

Butler, Nickolas Andrew. "Development of a Myoelectric Detection Circuit Platform for Computer Interface Applications." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/1981.

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Personal computers and portable electronics continue to rapidly advance and integrate into our lives as tools that facilitate efficient communication and interaction with the outside world. Now with a multitude of different devices available, personal computers are accessible to a wider audience than ever before. To continue to expand and reach new users, novel user interface technologies have been developed, such as touch input and gyroscopic motion, in which enhanced control fidelity can be achieved. For users with limited-to-no use of their hands, or for those who seek additional means to i

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6

Thiyagaraja, Shanti. "Detection and Classification of Heart Sounds Using a Heart-Mobile Interface." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc1159216/.

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An early detection of heart disease can save lives, caution individuals and also help to determine the type of treatment to be given to the patients. The first test of diagnosing a heart disease is through auscultation - listening to the heart sounds. The interpretation of heart sounds is subjective and requires a professional skill to identify the abnormalities in these sounds. A medical practitioner uses a stethoscope to perform an initial screening by listening for irregular sounds from the patient's chest. Later, echocardiography and electrocardiography tests are taken for further diagnosi

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7

Chuluundorj, Zorigtbaatar. "Augmenting Network Flows with User Interface Context to Inform Access Control Decisions." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-theses/1331.

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Whitelisting IP addresses and hostnames allow organizations to employ a default-deny approach to network traffic. Organizations employing a default-deny approach can stop many malicious threats, even including zero-day attacks, because it only allows explicitly stated legitimate activities. However, creating a comprehensive whitelist for a default-deny approach is difficult due to user-supplied destinations that can only be known at the time of usage. Whitelists, therefore, interfere with user experience by denying network traffic to user-supplied legitimate destinations. In this thesis, we fo

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Amso, Julian, and Achille Faienza. "IPsec Intrusion Detection Analysis : Using data from an Ericsson Ethernet Interface Board." Thesis, KTH, Kommunikationssystem, CoS, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91865.

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IP security (IPsec) is commonly used for protection in Virtual Private Networks (VPN). It is also used for the protection of traffic between nodes in third generation (3G) mobile networks. The main duty of telecommunication operators is to assure the quality of service and availability of the network for their users. Therefore knowledge of threats that could affect these requirements is of relevance. Denial of Service (DoS) and other attacks could constitute serious threats in 3G networks and, if successful, they could lead to financial and reputation damage for the telecommunication operator.

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9

Mansour, Diaa-Eldin A., Hiroaki Kojima, Naoki Hayakawa, Fumihiro Endo, and Hitoshi Okubo. "Partial discharge detection at delamination of electrode/epoxy interface in GIS spacers." IEEE, 2009. http://hdl.handle.net/2237/13943.

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10

Aho, P. (Pekka). "Automated state model extraction, testing and change detection through graphical user interface." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526224060.

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Abstract Testing is an important part of quality assurance, and the use of agile processes, continuous integration and DevOps is increasing the pressure for automating all aspects of testing. Testing through graphical user interfaces (GUIs) is commonly automated by scripts that are captured or manually created with a script editor, automating the execution of test cases. A major challenge with script-based GUI test automation is the manual effort required for maintaining the scripts when the GUI changes. Model-based testing (MBT) is an approach for automating also the design of test cases. Tra

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11

CISOTTO, GIULIA. "Movement-related desynchronization detection in Brain-Computer Interface applications for post-stroke motor rehabilitation." Doctoral thesis, Università di Padova, 2014. http://hdl.handle.net/10281/367531.

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Neurological degenerative diseases like stroke, Alzheimer, Amyothrophic Lateral Sclerosis (ALS), Parkinson and many others are constantly increasing their incidence in the world health statistics as far as the mean age of the global population is getting higher and higher. This leads to a general need for effective, at-home and low-cost rehabilitative and health-daily-care tools. The latter should consist either of technological devices implemented for operating in a remote way, i.e. tele-medicine is quickly spreading around the world, or very-advanced computer-based and robotic systems to re

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12

McEwen, Timothy Ryan. "Development and Evaluation of an Ecological Display for the Detection, Evaluation, and Treatment of Cardiovascular Risk." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1386593713.

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13

McCooey, Conor Gerard, and cmccooey@ieee org. "Characterising Evoked Potential Signals using Wavelet Transform Singularity Detection." RMIT University. Electrical and Computer Engineering, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080829.101311.

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This research set out to develop a novel technique to decompose Electroencephalograph (EEG) signal into sets of constituent peaks in order to better describe the underlying nature of these signals. It began with the question; can a localised, single stimulation of sensory nervous tissue in the body be detected in the brain? Flash Visual Evoked Potential (VEP) tests were carried out on 3 participants by presenting a flash and recording the response in the occipital region of the cortex. By focussing on analysis techniques that retain a perspective across different domains ï¿½ temporal (time)

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14

Amanzi, Richard. "A natural user interface architecture using gestures to facilitate the detection of fundamental movement skills." Thesis, Nelson Mandela Metropolitan University, 2015. http://hdl.handle.net/10948/6204.

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Fundamental movement skills (FMSs) are considered to be one of the essential phases of motor skill development. The proper development of FMSs allows children to participate in more advanced forms of movements and sports. To be able to perform an FMS correctly, children need to learn the right way of performing it. By making use of technology, a system can be developed that can help facilitate the learning of FMSs. The objective of the research was to propose an effective natural user interface (NUI) architecture for detecting FMSs using the Kinect. In order to achieve the stated objective, an

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15

Husseini, Orabi Ahmed. "Multi-Modal Technology for User Interface Analysis including Mental State Detection and Eye Tracking Analysis." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36451.

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We present a set of easy-to-use methods and tools to analyze human attention, behaviour, and physiological responses. A potential application of our work is evaluating user interfaces being used in a natural manner. Our approach is designed to be scalable and to work remotely on regular personal computers using expensive and noninvasive equipment. The data sources our tool processes are nonintrusive, and captured from video; i.e. eye tracking, and facial expressions. For video data retrieval, we use a basic webcam. We investigate combinations of observation modalities to detect and extract af

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Lin, Tsu-Hui Angel. "Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)." Master's thesis, University of Cape Town, 2007. http://hdl.handle.net/11427/5182.

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Includes bibliographical references (p. 97-103).<br>Brain computer interface (BCI) technology provides a method of communication and control for people with severe motor disabilities. This thesis explores the application of a Fast Fourier transform and support vector machine (FFT-SVM) to the problem of mental task detection in EEG-based brain computer interface implementation.

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17

Dong, Dong. "Ac-dc Bus-interface Bi-directional Converters in Renewable Energy Systems." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28495.

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This dissertation covers several issues related to the ac-dc bus-interface bi-directional converters in renewable energy systems. The dissertation explores a dc-electronic distribution system for residential and commercial applications with a focus on the design of an ac-dc bi-directional converter for such application. This converter is named as the â Energy Control Centerâ due to its unique role in the system. First, the impact of the unbalanced power from the ac grid, especially the single-phase grid, on the dc system operation is analyzed. Then, a simple ac-dc two-stage topology and an

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18

Ellis, Brenda Lee. "The Human Analysis Element of Intrusion Detection: A Cognitive Task Model and Interface Design and Implications." NSUWorks, 2009. http://nsuworks.nova.edu/gscis_etd/145.

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The use of monitoring and intrusion detection tools are common in today's network security architecture. The combination of tools generates an abundance of data which can result in cognitive overload of those analyzing the data. ID analysts initially review alerts generated by intrusion detection systems to determine the validity of the alerts. Since a large number of alerts are false positives, analyzing the data can severely reduce the number of unnecessary and unproductive investigations. The problem remains that this process is resource intensive. To date, very little research has been don

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19

Davis, Joseph P. "Electronic Interface for an Inductive Wear Debris Sensor for Detection of Ferrous and Non-Ferrous Particles." University of Akron / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=akron1380998832.

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20

Finzer, Brant M. "Detection of Oxyanion Adsorption at the Silica-Aqueous Interface using Total Internal Reflection (TIR)-Raman Spectroscopy." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1417521135.

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21

Kit, Julian Chua Ying. "The human-machine interface (HMI) and re-bar detection aspects of a non-destructive testing (NDT) robot." Thesis, City University London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245862.

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22

Wernke, Matthew. "Quantification of Transhumeral Prosthetic Socket Residual Limb Interface Movement Using Motion Capture and a Slip Detection Sensor." Scholar Commons, 2014. http://scholarcommons.usf.edu/etd/4961.

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Current literature focusing on the prosthetic socket is limited by measurement techniques and modeling assumptions, leading to a limited understanding of the forces and motions occurring between the residual limb and prosthesis and how they can be used to influence socket design and fitting. Prosthetic socket fitting and prescription would benefit from an elegant method for comparing socket designs. This dissertation focuses on the development and implementation of a 3D motion capture model and a Slip Detection Sensor to quantify rotations and translations at the prosthetic socket-residual lim

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23

Johnson, Charles Clifford. "Fourier transform infrared spectrometric detection of chromatographic effluents: instrumental and methodological improvements using a flow cell interface." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/54450.

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The Fourier Transform Infrared spectrometer (FTIR) has been used increasingly as a detector for various forms of chromatography. Clearly the most established marriage has been that of the Gas Chromatograph (GC) with the FTIR. GC-FTIR has been developed well beyond other forms. The main objective of this thesis, however, is to extend the FTIR as a detector to previously untested forms of chromatography using a flow cell interface. These forms of chromatography include High Performance Liquid Chromatography (HPLC), both normal-phase and reversed-phase, and packed-column Supercritical Fluid Chrom

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24

Blaho, Juraj. "Detekce pohybu ruky pro ovládání aplikací." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236794.

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The aim of this work is to design and implement a novel computer interface based on detection and tracking of a hand in an image from a single camera. The created interface doesn't require any special hardware and it is possible to use it on a common computer with standard web-camera. The implemented interface was used to create an application, which is able to synthesize keyboard and mouse input events and this way it is able to control existing programs without the need to change their source code. Another contribution of this work is a novel method of automatic data acquisition for training

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25

Vélez, Luis, and Guillermo Kemper. "Algorithm for Detection of Raising Eyebrows and Jaw Clenching Artifacts in EEG Signals Using Neurosky Mindwave Headset." Smart Innovation, Systems and Technologies, 2021. http://hdl.handle.net/10757/653818.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>The present work proposes an algorithm to detect and identify the artifact signals produced by the concrete gestural actions of jaw clench and eyebrows raising in the electroencephalography (EEG) signal. Artifacts are signals that manifest in the EEG signal but do not come from the brain but from other sources such as flickering, electrical noise, muscle movements, breathing, and heartbeat. The proposed algorithm makes use of concepts and knowl

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26

Pettersson, Tobias. "Implementation of vital sign detection algorithms on a high-performance digital signal processor." Thesis, Linköpings universitet, Fysik och elektroteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143869.

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This thesis investigates the possibility of detecting weak vital signs, such as heartbeat and respiration rate, through the implementation of quadrature demodulation and frequency spectrum algorithms on a high performance digital signal processor. This thesis has been part of an ongoing research project at Linkoping University, with the aim to develop a sensor platform for wireless measurements of these vital signs. This sensor platform has been expected to consist of two major physical devices, a RF-radar front-end including a quadrature multi-port and a processing back-end which holds the im

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27

Chen, Zhezhe. "System Support for Improving the Reliability of MPI Applications and Libraries." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1375880144.

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Fernandes, Junior Valmir. "Detecção e rastreamento de íris para implementação de uma interface homem-computador." Universidade Presbiteriana Mackenzie, 2010. http://tede.mackenzie.br/jspui/handle/tede/1397.

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Made available in DSpace on 2016-03-15T19:37:33Z (GMT). No. of bitstreams: 1 Valmir Fernandes Junior.pdf: 2218220 bytes, checksum: f12b7829c2024510149ca8f24aa66e26 (MD5) Previous issue date: 2010-08-10<br>This paper presents a technique to iris detection and tracking that can be used in a human computer interface which allows people with mobility restricted, including no mobility above the shoulders, can control the mouse pointer only moving their eyes, without using expensive equipments. The unique data input used is an ordinary webcam without optical zoon, special lights or restricting use

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Mingardi, Giacomo. "Digitalization of a milling machine: development of a condition monitoring application and human-machine interface." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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The goal of this thesis project was to digitize a milling machine. To achieve this, a data collection system was created using current sensors connected to a PLC external to the machine's CNC control to measure the phase currents of the machine's motors. During a period of observation, in which the machine exhibited only healthy behavior, data on the motor currents were collected by running a diagnostic cycle between the normal production cycles. This data was then processed to develop a condition monitoring PLC application for the motors. The application allows the user to determine how sim

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Chawich, Juliana. "ZnO/GaAs-based acoustic waves microsensor for the detection of bacteria in complex liquid media." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCD012/document.

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Cette thèse s’inscrit dans le cadre d’une cotutelle internationale entre l’Université de Bourgogne Franche-Comté en France et l’Université de Sherbrooke au Canada. Elle porte sur le développement d'un biocapteur miniature pour la détection et la quantification de bactéries dans des milieux liquides complexes. La bactérie visée est l’Escherichia coli (E. coli), régulièrement mise en cause dans des épidémies d'infections alimentaires, et parfois meurtrière.La géométrie du biocapteur consiste en une membrane en arséniure de gallium (GaAs) sur laquelle est déposé un film mince piézoélectrique d’ox

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Sherman, Brook W. "The Examination and Evaluation of Dynamic Ship Quiescence Prediction and Detection Methods for Application in the Ship-Helicopter Dynamic Interface." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/32436.

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Motion sensitive operations at sea are conducted in an unpredictable environment. While occasionally these operations can be planned around suitable weather forecast or delayed until smoother motions are apparent, naval ships conducting flight operations may have little liberty in their mission planning and execution. Tools exist to translate the oceanâ s harsh conditions into discretely defined low motion operational periods. Particularly of interest, the identification of discrete lull periods or quiescence for shipboard helicopter operations can be better defined using a landing period i

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32

Malic, Lidija. "Electro-wetting-on-dielectric digital microfluidic platform with integrated nanostructured biosensor interface for enhanced two-dimensional Surface Plasmon Resonance imaging detection." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86687.

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The sensitive and specific detection of biomolecular interactions is at the heart of many routine analyses in fundamental research, medical diagnosis and environmental monitoring. In contrast to laborious and costly multiwell plate assays, recent years have witnessed a significant progress in miniaturized and integrated biosensors, such as surface plasmon resonance (SPR), tailored to these applications. While the design of various SPR biosensors has been described in literature, a robust, multichannel, low-cost and highly sensitive solution has not yet been presented. Specifically, an integrat

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33

Rinne, Vidar. "A Zoomable 3D User Interface using Uniform Grids and Scene Graphs." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-13360.

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Zoomable user interfaces (ZUIs) have been studied for a long time and many applications are built upon them. Most applications, however, only use two dimensions to express the content. This report presents a solution using all three dimensions where the base features are built as a framework with uniform grids and scene graphs as primary data structures. The purpose of these data structures is to improve performance while maintaining flexibility when creating and handling three-dimensional objects. A 3D-ZUI is able to represent the view of the world and its objects in a more lifelike manner. I

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34

Hashem, Yassir. "Multi-Modal Insider Threat Detection and Prevention based on Users' Behaviors." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc1248460/.

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Insider threat is one of the greatest concerns for information security that could cause more significant financial losses and damages than any other attack. However, implementing an efficient detection system is a very challenging task. It has long been recognized that solutions to insider threats are mainly user-centric and several psychological and psychosocial models have been proposed. A user's psychophysiological behavior measures can provide an excellent source of information for detecting user's malicious behaviors and mitigating insider threats. In this dissertation, we propose a mult

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35

Becker, Christian [Verfasser], and Torsten C. [Akademischer Betreuer] Schmidt. "Development of a thermospray nebulizer interface for liquid chromatography with flame ionization detection and detector response studies of volatile and non-volatile compounds / Christian Becker ; Betreuer: Torsten C. Schmidt." Duisburg, 2019. http://d-nb.info/1196008280/34.

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Lacerda, Geraldo de Moura. "Detec??o de interface em tanques de petr?leo usando transmissores de n?vel e controladores Fuzzy." Universidade Federal do Rio Grande do Norte, 2009. http://repositorio.ufrn.br:8080/jspui/handle/123456789/12913.

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Made available in DSpace on 2014-12-17T14:08:37Z (GMT). No. of bitstreams: 1 Geraldo de Moura Lacerda_DISSERT.PDF: 1911121 bytes, checksum: 19c68900a038404a86d6d95ce757a46b (MD5) Previous issue date: 2009-12-09<br>This work presents a proposal to detect interface in atmospheric oil tanks by installing a differential pressure level transmitter to infer the oil-water interface. The main goal of this project is to maximize the quantity of free water that is delivered to the drainage line by controlling the interface. A Fuzzy Controller has been implemented by using the interface transmitter as

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Hashem, Yassir. "A Multi-Modal Insider Threat Detection and Prevention based on Users' Behaviors." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248460/.

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Insider threat is one of the greatest concerns for information security that could cause more significant financial losses and damages than any other attack. However, implementing an efficient detection system is a very challenging task. It has long been recognized that solutions to insider threats are mainly user-centric and several psychological and psychosocial models have been proposed. A user's psychophysiological behavior measures can provide an excellent source of information for detecting user's malicious behaviors and mitigating insider threats. In this dissertation, we propose a mult

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Villaroman, Norman. "Face Tracking User Interfaces Using Vision-Based Consumer Devices." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3941.

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Some individuals have difficulty using standard hand-manipulated input devices such as a mouse and a keyboard effectively. For such users who at the same time have sufficient control over face and head movement, a robust perceptual or vision-based user interface that can track face movement can significantly help them. Using vision-based consumer devices makes such a user interface readily available and allows its use to be non-intrusive. Designing this type of user interface presents some significant challenges particularly with accuracy and usability. This research investigates such problems

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Hamilton, Erik Scott. "Three-Dimensional Hydrodynamic Focusing for Integrated Optofluidic Detection Enhancement." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8436.

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The rise of superbugs, including antibiotic-resistant bacteria, and virus outbreaks, such as the recent coronavirus scare, illustrate the need for rapid detection of disease pathogens. Widespread availability of rapid disease identification would facilitate outbreak prevention and specific treatment. The ARROW biosensor microchip can directly detect single molecules through fluorescence-based optofluidic interrogation. The nature of the microfluidic channels found on optofluidic sensor platforms sets some of the ultimate sensitivity and accuracy limits and can result in false negative test res

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Richards, Mark Andrew. "An intuitive motion-based input model for mobile devices." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16556/1/Mark_Richards_Thesis.pdf.

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Traditional methods of input on mobile devices are cumbersome and difficult to use. Devices have become smaller, while their operating systems have become more complex, to the extent that they are approaching the level of functionality found on desktop computer operating systems. The buttons and toggle-sticks currently employed by mobile devices are a relatively poor replacement for the keyboard and mouse style user interfaces used on their desktop computer counterparts. For example, when looking at a screen image on a device, we should be able to move the device to the left to indicate we

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Blanquer, Eric. "LADAR Proximity Fuze - System Study -." Thesis, KTH, Reglerteknik, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-106247.

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LADAR (Laser Detection and Ranging) systems constitue a direct extension of the conventional radar techniques. Because they operate at much shorter wavelengths, LADARs have the unique capability to generate 3D images of objects. These laser systems have many applications in both the civilian and the defence fields concerning target detection and identification. The extraction of these features depends on the processing algorithms, target properties and 3D images quality. In order to support future LADAR hardware device developments and system engineering studies, it is necessary to understand

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Munir, Farasat. "A fast, scalable acoustic resonator-based biosensor array system for simultaneous detection of multiple biomarkers." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47712.

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This thesis is about the design of a biosensor system for detection of multiple cancer biomarkers. Accurate diagnosis and prognosis of cancer requires early detection. Equally important, though, is the measurement of biomarker-velocity and detection of multiple biomarkers. Early detection requires highly sensitive biosensors capable of detection at very low concentrations of target molecules. Biomarker-velocity can be measured by monitoring concentration of target molecule over a period of time. This requires a system which is very easy to use, fast, flexible, inexpensive and portable, thus en

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Lanfranco, R. "OPTICAL DETECTION OF MOLECULAR INTERACTIONS ON THE SURFACE OF MATERIALS INDEX-MATCHED TO WATER." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/378031.

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The idea to have highly effective autonomous sensors able to measure and share information about the quality of our environment, and particularly water, in our lakes and rivers, our water supply system and the outputs of municipal and industrial wastewater treatment systems is revolutionary and fascinating. These sensors could be densely deployed at multiple locations, and the information may be available to citizens through the Internet. This idyllic vision, nowadays, is far away from being reality, despite the huge effort made to develop innovative molecular sensors. The main challenge

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Richards, Mark Andrew. "An intuitive motion-based input model for mobile devices." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16556/.

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Traditional methods of input on mobile devices are cumbersome and difficult to use. Devices have become smaller, while their operating systems have become more complex, to the extent that they are approaching the level of functionality found on desktop computer operating systems. The buttons and toggle-sticks currently employed by mobile devices are a relatively poor replacement for the keyboard and mouse style user interfaces used on their desktop computer counterparts. For example, when looking at a screen image on a device, we should be able to move the device to the left to indicate we

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Battapady, Harsha. "Spatial Detection of Multiple Movement Intentions from SAM-Filtered Single-Trial MEG for a high performance BCI." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1910.

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The objective of this study is to test whether human intentions to sustain or cease movements in right and left hands can be decoded reliably from spatially filtered single trial magneto-encephalographic (MEG) signals. This study was performed using motor execution and motor imagery movements to achieve a potential high performance Brain-Computer interface (BCI). Seven healthy volunteers, naïve to BCI technology, participated in this study. Signals were recorded from 275-channel MEG and synthetic aperture magnetometry (SAM) was employed as the spatial filter. The four-class classification for

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Church, Donald Glen. "Reducing Error Rates in Intelligence, Surveillance, and Reconnaissance (ISR) Anomaly Detection via Information Presentation Optimization." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1452858183.

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Dyk, Tomáš. "Vyhledávání tlačítek ve formulářích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417258.

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Diploma thesis describes a system for automatic detection of buttons from a screen photo.The system is used together with a robotic arm and a camera to detect buttons on the screens of embedded devices. After detecting buttons on the screen, the algorithm commands the robotic arm to click on the position of the detected button. The algorithm creates a navigation map in which all screens of the device are visible by systematically clicking through all buttons on all screens. For each screen, the positions of the detected buttons and the destination to which the screen points are stored.

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Bhattaram, Sneha. "Signal Compression Methods for a Wear Debris Sensor." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1399201029.

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Al, Mahdawi Basil Mohamed Nouri. "Senior monitoring by using sensors network and optical metrology." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCD085.

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L’objectif du travail de cette thèse est la contribution au développement de nouvelles techniques dans le domaine dessystèmes de détection sans marqueur pour une utilisation dans trois domaines vitaux de la santé en utilisant des capteursinnovants et peu coûteux. Pour la réalisation de nos objectifs nous avons eu recours principalement à de l’électroniqueembarquées et du traitement du signal en utilisant le capteur Kinect. Des résultats encourageants ont été obtenus et sontprésentés tout au long de cette thèse. Dans la première partie de ce travail, nous présentons un nouveau système desurveil

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Kumar, Deepesh. "P300 Detection for Brain Computer Interface." Thesis, 2013. http://ethesis.nitrkl.ac.in/5433/1/211EC3312.pdf.

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P300 based brain computer interface (BCI) sometimes called brain machine interface (BMI) is a way of direct communication between human brain and external device which provides an alternative communication link with outside world to the people who are unable to communicate via conventional means because of sever motor disability. P300 wave is an event related potential which evoked in the process of decision making of human brain which can be generated using oddball paradigm. This thesis aims to detect the P300 wave as accurate as possible. To do that this study proposed discrete wavelet trans

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