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Dissertations / Theses on the topic 'Time machine system'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Ng, F. "Man machine interface for real time power system simulation." Thesis, University of Bath, 1992. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306827.

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2

Jun, Zhang, Feng MeiPing, Zhu Yanbo, He Bin, and Zhang Qishan. "A Real-Time Telemetry Data Processing System with Open System Architecture." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/611667.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California<br>In face of the characteristics of multiple data streams, high bit rate, variable data formats, complicated frame structure and changeable application environment, the programmable PCM telemetry system needs a new data processing system with advanced telemetry system architecture. This paper fully considers the characteristics of real-time telemetry data processing, analyzes the design of open system architecture for real-time telemetry data processing s

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3

Yang, Xue Jiao. "Supervisory wide-area control for multi-machine power system." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/supervisory-widearea-control-for-multimachine-power-system(6c0575f9-7b20-4751-9d67-276aaaa4c7b2).html.

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With the increasing demand for electrical power and the growing need for the restructuring of the power industry, electric power systems have become highly complex with inherent complicated dynamics. Therefore, the study of power system stability has continued to receive significant attention from both academic researchers and industrial practitioners. This thesis focuses on supervisory wide-area control for rotor angle stability of multi-machine power systems using Linear Quadratic Gaussian/Loop Transfer Recovery (LQG/LTR) control theory with guaranteed robustness. The supervisory controllers

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Al-Awadhi, Waleed. "Integrating machine grouping and layout by using knowledge based system approach." Thesis, Brunel University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242982.

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5

Sun, Yu. "JAVA VIRTUAL MACHINE DESIGN FOR EMBEDDED SYSTEMS: ENERGY, TIME PREDICTABILITY AND PERFORMANCE." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/dissertations/186.

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Embedded systems can be found everywhere in our daily lives. Due to the great variety of embedded devices, the platform independent Java language provides a good solution for embedded system development. Java virtual machine (JVM) is the most critical component of all kinds of Java platforms. Hence, it is extremely important to study the special design of JVM for embedded systems. The key challenges of designing a successful JVM for embedded systems are energy efficiency, time predictability and performance, which are investigated in this dissertation, respectively. We first study the energy i

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Heydorn, Matthew Ryan. "Increased Cyclist Safety Using an Embedded System." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7391.

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In order to reduce bicycle-vehicle collisions, we design and implement a cost effectiveembedded system to warn cyclists of approaching vehicles. The system uses an Odroid C2 singleboard computer (SBC) to do vehicle and lane detection in real time using only vision. The system warns cyclist are warned of approaching cars using both a smartphone app and an LED indicator. Due to the limited performance of the Odroid C2 and other low power and low cost SBCs,we found that existing detection algorithms run either too slowly or do not have sufficient accuracy to be practical. Our solution to these li

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Ratter, Adrian. "Development of a real-time digital signal processing system for machine condition monitoring." Thesis, Robert Gordon University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290427.

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8

Rhee, Sokwoo. "Development of a Windows NT real-time operating system for NC machine control." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/45474.

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9

Ghafir, Ibrahim. "A machine-learning-based system for real-time advanced persistent threat detection and prediction." Thesis, Manchester Metropolitan University, 2017. http://e-space.mmu.ac.uk/618896/.

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It is widely cited that cyber attacks have become more prevalent on a global scale. In light of this, the cybercrime industry has been established for various purposes such as political, economic and socio-cultural aims. Such attacks can be used as a harmful weapon and cyberspace is often cited as a battlefield. One of the most serious types of cyber attacks is the Advanced Persistent Threat (APT), which is a new and more complex version of multi-step attack. The main aim of the APT attack is espionage and data exfiltration, which has the potential to cause significant damage and substantial f

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Nik, Zulkepeli Nik Ahmad Akram. "Real-time unsupervised incremental support vector machine for oil and gas pipeline NDT system." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/31204/.

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Current Non Destructing Testing (NDT) techniques for oil and gas pipeline inspection are accurate and reliable but there are limited numbers of continuous monitoring technique available that can automatically make real-time decisions on the status of the pipeline. Furthermore, most of the NDT methods are deployed at predetermined interval which can last for several months. Sudden onsets of defects are undetected and lead to pipeline failure and unscheduled shutdown. A reliable inspection method is required whereby the pipelines are monitored continuously and are able to provide the operators s

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Arteaga, Falconi Juan Sebastian. "Towards an Accurate ECG Biometric Authentication System with Low Acquisition Time." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40129.

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Biometrics is the study of physical or behavioral traits that establishes the identity of a person. Forensics, physical security and cyber security are some of the main fields that use biometrics. Unlike traditional authentication systems—such as password based—biometrics cannot be lost, forgotten or shared. This is possible because biometrics establishes the identity of a person based on a physiological/behavioural characteristic rather than what the person possess or remembers. Biometrics has two modes of operation: identification and authentication. Identification finds the identity of a pe

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12

McCarthy, Cheryl. "Automatic non-destructive dimensional measurement of cotton plants in real-time by machine vision." University of Southern Queensland, Faculty of Engineering and Surveying, 2009. http://eprints.usq.edu.au/archive/00006228/.

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[Abstract]Pressure on water resources in Australia necessitates improved application of water to irrigated crops. Cotton is one of Australia’s major crops, but is also a large water user. On-farm water savings can be achieved by irrigating via large mobile irrigationmachines (LMIMs), which are capable of implementing deficit strategies and varying water application to 1 m2 resolution. However, irrigation amounts are commonly heldconstant throughout a field despite differing water requirements for different areas of a crop due to spatial variability of soil, microclimate and crop properties.Thi

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13

Gao, Wenzhong. "New methodology for power system modeling and its application in machine modeling and simulation." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/14732.

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14

Natarajan, Subramanian. "Dynamic optimization of job distribution on machine tools using time decomposition into constant job-mix stages." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=60709.

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This thesis deals with the development, analysis and application of a new method to optimize the allocation of jobs on machine tools. The benefits of this method are derived through time-decomposition of the scheduling horizon.<br>The decomposition scheme is based on the scheduled flow of jobs i.e., the input of jobs to the shop floor and their departure after processing. The partitioning procedure divides the planning horizon into 'stages', or time periods, at which the job-mix remains constant. The optimization of job allocation is carried out within each partition and successive stages are

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Podivín, Ladislav. "Design and implementation of control software libraries for fiber characterization." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218304.

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Tato práce se zabývá návrhem a implementací dvou konkrétních softwarových modulů, které jsou částí distribuovaného řídícího systému CoSMic. Tento systém je určen pro řízení speciálního zařízení pro charakterizaci papírových vláken. Prvním vyvinutým modulem je HapticFiber, ten má poskytovat rozhraní mezi řídícím systémem a speciálním vstupním zařízením - haptic device. Druhým modulem je ViCo, jehož účelem je poskytnout softwarovou obálku pro uživatelem definovaný algoritmus zpracovaní obrazu. Tento modul musí být připraven splnit určitá časová omezení, proto je nutné, aby běžel v rámci operační

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16

Uhl, Claude. "Architecture de machine pour la simulation d'objets physiques en temps réel." Grenoble INPG, 1996. http://www.theses.fr/1996INPG0107.

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Les algorithmes de simulation, base du modeleur simulateur d'objets physiques cordis-anima, necessitent des performances et une architecture particuliere pour la machine qui va les executer. La conception et la mise en uvre des conditions materielles de la simulation constituent un axe majeur des travaux de l'acroe. L'objectif de ce travail a ete de developper une architecture de machine efficace permettant l'interaction multisensorielle et en temps-reel entre un operateur et un objet simule par modele physique. Les contraintes liees a ce type de simulation sont multiples: les frequences de si

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17

Shen, Anqi. "A real time 3D surface measurement system using projected line patterns." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5399.

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This thesis is based on a research project to evaluate a quality control system for car component stamping lines. The quality control system measures the abrasion of the stamping tools by measuring the surface of the products. A 3D vision system is developed for the real time online measurement of the product surface. In this thesis, there are three main research themes. First is to produce an industrial application. All the components of this vision system are selected from industrial products and user application software is developed. A rich human machine interface for interaction with the

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18

Vidalinc, Antoine Jr. "On-Line Transient Stability Analysis of a Multi-Machine Power System Using the Energy Approach." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36842.

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This thesis investigates and develops a direct method for transient stability analysis using the energy approach [1] and the Phasor Measurement Units (PMUs). The originality of this new method results from a combination of a prediction of the post-fault trajectory based on the PMUs and the Transient Energy Function of a multimachine system. Thanks to the PMUs, the weakness of the direct methods, which is the over-simplification of the generator model, is overcome. This new method consists of fitting a curve to the data of the post-fault path provided by PMUs and identifying the controlling

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Li, Xiawen. "Power System Stability Improvement with Decommissioned Synchronous Machine Using Koopman Operator Based Model Predictive Control." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/102503.

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Traditional generators have been decommissioned or replaced by renewable energy generation due to utility long-standing goals. However, instead of flattening the entire plant, the rotating mass of generator can be utilized as a storage unit (inertia resource) to mitigate the frequency swings during transient caused by the renewables. The goal of this work is to design a control strategy utilizing the decommissioned generator interfaced with power grid via a back-to-back converter to provide inertia support. This is referred to as decoupled synchronous machine system (DSMS). On top of that, the

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Straumann, Hugo M. "The development of a software package for low cost machine vision system for real time applications." Ohio : Ohio University, 1986. http://www.ohiolink.edu/etd/view.cgi?ohiou1183378665.

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Avdic, Adnan, and Albin Ekholm. "Anomaly Detection in an e-Transaction System using Data Driven Machine Learning Models : An unsupervised learning approach in time-series data." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18421.

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Background: Detecting anomalies in time-series data is a task that can be done with the help of data driven machine learning models. This thesis will investigate if, and how well, different machine learning models, with an unsupervised approach,can detect anomalies in the e-Transaction system Ericsson Wallet Platform. The anomalies in our domain context is delays on the system. Objectives: The objectives of this thesis work is to compare four different machine learning models ,in order to find the most relevant model. The best performing models are decided by the evaluation metric F1-score. An

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Giovanini, Renato de Macedo [UNESP]. "SSVEP-EEG signal pattern recognition system for real-time brain-computer interfaces applications." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/151710.

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Submitted by Renato de Macedo Giovanini null (renato81243@aluno.feis.unesp.br) on 2017-09-25T14:52:54Z No. of bitstreams: 1 dissertacao_renato_de_macedo_giovanini_2017_final.pdf: 10453769 bytes, checksum: 7f7e2415a0912fae282affadea2685b8 (MD5)<br>Approved for entry into archive by Monique Sasaki (sayumi_sasaki@hotmail.com) on 2017-09-27T20:24:55Z (GMT) No. of bitstreams: 1 giovanini_rm_me_ilha.pdf: 10453769 bytes, checksum: 7f7e2415a0912fae282affadea2685b8 (MD5)<br>Made available in DSpace on 2017-09-27T20:24:55Z (GMT). No. of bitstreams: 1 giovanini_rm_me_ilha.pdf: 10453769 bytes, checksum: 7

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Giovanini, Renato de Macedo. "SSVEP-EEG signal pattern recognition system for real-time brain-computer interfaces applications /." Ilha Solteira, 2017. http://hdl.handle.net/11449/151710.

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Orientador: Aparecido Augusto de Carvalho<br>Resumo: There are, nowadays, about 110 million people in the world who live with some type of severe motor disability. Specifically in Brazil, about 2.2% of the population are estimated to live with a condition of difficult locomotion. Aiming to help these people, a vast variety of devices, techniques and services are currently being developed. Among those, one of the most complex and challenging techniques is the study and development of Brain-Computer Interfaces (BCIs). BCIs are systems that allow the user to communicate with the external world co

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Panopoulos, Vasileios. "Near Real-time Detection of Masquerade attacks in Web applications : catching imposters using their browsing behavor." Thesis, KTH, Kommunikationsnät, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183777.

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This Thesis details the research on Machine Learning techniques that are central in performing Anomaly and Masquerade attack detection. The main focus is put on Web Applications because of their immense popularity and ubiquity. This popularity has led to an increase in attacks, making them the most targeted entry point to violate a system. Speciﬁcally, a group of attacks that range from identity theft using social engineering to cross site scripting attacks, aim at exploiting and masquerading users. Masquerading attacks are even harder to detect due to their resemblance with normal sessions, t

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Aichouch, Mohamed El Mehdi. "Evaluation of a multiple criticality real-time virtual machine system and configuration of an RTOS's resources allocation techniques." Thesis, Rennes, INSA, 2014. http://www.theses.fr/2014ISAR0014/document.

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L'utilisation de la virtualisation dans le domaine des serveurs d'entreprise est aujourd'hui une méthode courante. La virtualisation est une technique qui permet de faire fonctionner sur une seule machine réelle plusieurs systèmes d'exploitation. Cette technique est train d'être adoptée dans le développement des systèmes embarqués suite à la disponibilité de nouveaux processeurs classiquement destiné à ce domaine. Cependant, il y a une différence de contraintes entre les applications d'entreprise et les applications embarquées, celleci doivent respecter des contraintes de temps-réel en réalisa

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Yang, Ruochen. "Diagnosis of Evaporative Emissions Control System Using Physics-based and Machine Learning Methods." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587651390226087.

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Liu, Xing. "Hybrid real-time operating system integrated with middleware for resource-constrained wireless sensor nodes." Thesis, Clermont-Ferrand 2, 2014. http://www.theses.fr/2014CLF22472/document.

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Avec les avancées récentes en microélectronique, en traitement numérique et en technologie de communication, les noeuds de réseau de capteurs sans fil (noeud RCSF) deviennent de moins en moins encombrants et coûteux. De ce fait la technologie de RCSF est utilisée dans de larges domaines d’application. Comme les noeuds RCSF sont limités en taille et en coût, ils sont en général équipés d’un petit microcontrôleur de faible puissance de calcul et de mémoire etc. De plus ils sont alimentés par une batterie donc son énergie disponible est limitée. A cause de ces contraintes, la plateforme logiciell

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Hasanzadeh, Mujtaba, and Alexandra Hengl. "Real-Time Pupillary Analysis By An Intelligent Embedded System." Thesis, Mälardalens högskola, Inbyggda system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44352.

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With no online pupillary analysis methods today, both the medical and the research ﬁelds are left to carry out a lengthy, manual and often faulty examination. A real-time, intelligent, embedded systems solution to pupillary analysis would help reduce faulty diagnosis, speed-up the analysis procedure by eliminating the human expert operator and in general, provide a versatile and highly adaptable research tool. Therefore, this thesis has sought to investigate, develop and test possible system designs for pupillary analysis, with the aim for caﬀeine detection. A pair of LED manipulator glasses h

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Hurta, Marek. "Odvozování pravidel pro mitigaci DDoS." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363809.

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This thesis is aimed at monitoring of computer networks using NetFlow data. It describes main aspects of detection network anomalies using IDS systems. Next part describes Nemea framework, which is used for creating modules. These modules are able to detect network incidents and attacks. Following chapters contain a brief overview of common network attacks with their specific remarks which can help in process of their detection. Based on this analysis, the concept of mitigation rules was created. These rules can be used for mitigation of DDoS attack. This method was tested on several data sets

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Bork, John R. "Reverse Engineering a Microcomputer-based Control Unit." Bowling Green State University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1120167127.

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Faria, Daniel C. "VERIFICATION AND VALIDATION OF A SAFETY SYSTEM FOR A FUEL-CELL RESEARCH FACILITY: A CASE STUDY." Ohio : Ohio University, 2007. http://www.ohiolink.edu/etd/view.cgi?ohiou1180552564.

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Brogi, Guillaume. "Real-time detection of Advanced Persistent Threats using Information Flow Tracking and Hidden Markov Models." Thesis, Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1167/document.

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Dans cette thèse, nous présentons les risques posés par les Menaces Persistentes Avancées (APTs) et proposons une approche en deux temps pour distinguer les attaques qui en font partie. Ce travail fait partie d'Akheros, un Système de Détection d'Intrusion (IDS) autonome développé par trois doctorants. L'idée est d'utiliser l'apprentissage machine pour détecté des évènements inattendus et vérifier s'ils posent un risque de sécurité. La dernière étape, et le sujet de cette thèse, est de mettre en évidence les APT. Les campagnes d'APT sont particulièrement dangereuses car les attaquants sont comp

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Goutham, Mithun. "Machine learning based user activity prediction for smart homes." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595493258565743.

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Zivanovic, Natalija. "Development of an exercise machine for enhanced eccentric training of the muscles : A study of sensors and system performance." Thesis, KTH, Mekatronik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281247.

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Currently, there are various training machines that can support training of the muscles while the muscles are lengthened, also known as eccentric training. Training machines that are widely used to train the muscles eccentrically utilize a flywheel to generate load to the user. When training the muscles eccentrically with such a machine, there is a desire to accomplish eccentric overload, which is achieved when the muscles under training are exposed to a very high load during eccentric training of these muscles. To achieve this, the user needs to activate other muscles that are not in the focu

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Al-ou'n, Ashraf M. S. "VM Allocation in Cloud Datacenters Based on the Multi-Agent System. An Investigation into the Design and Response Time Analysis of a Multi-Agent-based Virtual Machine (VM) Allocation/Placement Policy in Cloud Datacenters." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/16067.

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Recent years have witnessed a surge in demand for infrastructure and services to cover high demands on processing big chunks of data and applications resulting in a mega Cloud Datacenter. A datacenter is of high complexity with increasing difficulties to identify, allocate efficiently and fast an appropriate host for the requested virtual machine (VM). Establishing a good awareness of all datacenter’s resources enables the allocation “placement” policies to make the best decision in reducing the time that is needed to allocate and create the VM(s) at the appropriate host(s). However, current a

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Hinton, Michael Glenn. "Inter-Core Interference Mitigation in a Mixed Criticality System." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8648.

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In this thesis, we evaluate how well isolation can be achieved between two virtual machines within a mixed criticality system on a multi-core processor. We achieve this isolation with Jailhouse, an open-source, minimalist hypervisor. We then enhance Jailhouse with core throttling, a technique we use to minimize inter-core interference between VMs. Then, we run workloads with and without core throttling to determine the effect throttling has on interference between a non-real time VM and a real-time VM. We find that Jailhouse provides excellent isolation between VMs even without throttling, and

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Mozaffari, Maaref Mohammad Hamed. "A Real-Time and Automatic Ultrasound-Enhanced Multimodal Second Language Training System: A Deep Learning Approach." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40477.

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The critical role of language pronunciation in communicative competence is significant, especially for second language learners. Despite renewed awareness of the importance of articulation, it remains a challenge for instructors to handle the pronunciation needs of language learners. There are relatively scarce pedagogical tools for pronunciation teaching and learning, such as inefficient, traditional pronunciation instructions like listening and repeating. Recently, electronic visual feedback (EVF) systems (e.g., medical ultrasound imaging) have been exploited in new approaches in such a way

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Launila, Andreas. "Real-Time Head Pose Estimation in Low-Resolution Football Footage." Thesis, KTH, Computer Vision and Active Perception, CVAP, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-12061.

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<p>This report examines the problem of real-time head pose estimation in low-resolution football footage. A method is presented for inferring the head pose using a combination of footage and knowledge of the locations of the football and players. An ensemble of randomized ferns is compared with a support vector machine for processing the footage, while a support vector machine performs pattern recognition on the location data. Combining the two sources of information outperforms either in isolation. The location of the football turns out to be an important piece of information.</p><br>QC 20100

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Verlaine, Lionel. "Optimisation des requêtes dans une machine bases de données." Paris 6, 1986. http://www.theses.fr/1986PA066532.

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CCette thèse propose des solutions optimisant l'évaluation de questions et la jointure. Ces propositions sont étudiées et mises en œuvre à partir du SGBD Sabrina issu du projet SABRE sur matériel Carrousel à la SAGEM. L'évaluation de questions permet d'optimiser le niveau logique du traitement d'une requête. La décomposition la plus pertinente est établie en fonction d'heuristiques simples. L'algorithme de jointure propose utilise des mécanismes minimisant à la fois le nombre d'entrées/sorties disque et le nombre de comparaisons. Il admet un temps d'exécution proportionnel au nombre de tuples.

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Augusitne, Eriq A. "SPOONS: NETFLIX OUTAGE DETECTION USING MICROTEXT CLASSIFICATION." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/945.

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Every week there are over a billion new posts to Twitter services and many of those messages contain feedback to companies about their services. One company that recognizes this unused source of information is Netflix. That is why Netflix initiated the development of a system that lets them respond to the millions of Twitter and Netflix users that are acting as sensors and reporting all types of user visible outages. This system enhances the feedback loop between Netflix and its customers by increasing the amount of customer feedback that Netflix receives and reducing the time it takes for Net

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Kumar, Tushar. "Characterizing and controlling program behavior using execution-time variance." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/55000.

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Immersive applications, such as computer gaming, computer vision and video codecs, are an important emerging class of applications with QoS requirements that are difficult to characterize and control using traditional methods. This thesis proposes new techniques reliant on execution-time variance to both characterize and control program behavior. The proposed techniques are intended to be broadly applicable to a wide variety of immersive applications and are intended to be easy for programmers to apply without needing to gain specialized expertise. First, we create new QoS controllers that pro

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Schennings, Jacob. "Deep Convolutional Neural Networks for Real-Time Single Frame Monocular Depth Estimation." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-336923.

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Vision based active safety systems have become more frequently occurring in modern vehicles to estimate depth of the objects ahead and for autonomous driving (AD) and advanced driver-assistance systems (ADAS). In this thesis a lightweight deep convolutional neural network performing real-time depth estimation on single monocular images is implemented and evaluated. Many of the vision based automatic brake systems in modern vehicles only detect pre-trained object types such as pedestrians and vehicles. These systems fail to detect general objects such as road debris and roadside obstacles. In s

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Yoginath, Srikanth B. "Virtual time-aware virtual machine systems." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52321.

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Discrete dynamic system models that track, maintain, utilize, and evolve virtual time are referred to as virtual time systems (VTS). The realization of VTS using virtual machine (VM) technology offers several benefits including fidelity, scalability, interoperability, fault tolerance and load balancing. The usage of VTS with VMs appears in two ways: (a) VMs within VTS, and (b) VTS over VMs. The former is prevalent in high-fidelity cyber infrastructure simulations and cyber-physical system simulations, wherein VMs form a crucial component of VTS. The latter appears in the popular Cloud comp

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Pellegrino, Gregory S. "Design of a Low-Cost Data Acquisition System for Rotordynamic Data Collection." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/1978.

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A data acquisition system (DAQ) was designed based on the use of a STM32 microcontroller. Its purpose is to provide a transparent and low-cost alternative to commercially available DAQs, providing educators a means to teach students about the process through which data are collected as well as the uses of collected data. The DAQ was designed to collect data from rotating machinery spinning at a speed up to 10,000 RPM and send this data to a computer through a USB 2.0 full-speed connection. Multitasking code was written for the DAQ to allow for data to be simultaneously collected and transferre

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Ljubenkov, Davor. "Optimizing Bike Sharing System Flows using Graph Mining, Convolutional and Recurrent Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257783.

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A Bicycle-sharing system (BSS) is a popular service scheme deployed in cities of different sizes around the world. Although docked bike systems are its most popular model used, it still experiences a number of weaknesses that could be optimized by investigating bike sharing network properties and evolution of obtained patterns.Efficiently keeping bicycle-sharing system as balanced as possible is the main problem and thus, predicting or minimizing the manual transportation of bikes across the city is the prime objective in order to save logistic costs for operating companies.The purpose of this

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Carmody, Meghan A. "Task-Dependent Effects of Automation: The Role of Internal Models in Performance, Workload, and Situational Awareness in a Semi-Automated Cockpit." Ft. Belvoir Defense Technical Information Center, 1994. http://handle.dtic.mil/100.2/ADA292538.

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Narmack, Kirilll. "Dynamic Speed Adaptation for Curves using Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233545.

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The vehicles of tomorrow will be more sophisticated, intelligent and safe than the vehicles of today. The future is leaning towards fully autonomous vehicles. This degree project provides a data driven solution for a speed adaptation system that can be used to compute a vehicle speed for curves, suitable for the underlying driving style of the driver, road properties and weather conditions. A speed adaptation system for curves aims to compute a vehicle speed suitable for curves that can be used in Advanced Driver Assistance Systems (ADAS) or in Autonomous Driving (AD) applications. This degree

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Arshad, Norhashim Mohd. "Real-time data compression for machine vision measurement systems." Thesis, Liverpool John Moores University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285284.

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Cai, Hao. "A virtual machine for high integrity real-time systems." Thesis, University of York, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425411.

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Swere, Erick A. R. "Machine learning in embedded systems." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/4969.

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This thesis describes novel machine learning techniques specifically designed for use in real-time embedded systems. The techniques directly address three major requirements of such learning systems. Firstly, learning must be capable of being achieved incrementally, since many applications do not have a representative training set available at the outset. Secondly, to guarantee real-time performance, the techniques must be able to operate within a deterministic and limited time bound. Thirdly, the memory requirement must be limited and known a priori to ensure the limited memory available to h

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