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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Řídicí jednotka pro elektronické bicí / Electronic Drum Control Module

Doležal, Karel January 2014 (has links)
This paper deals with development and construction of an electronic drum module. The purpose of the device is to capture signals from an electronic drumkit and to produce sound accordingly. Firstly, a protoype with no sound output is constructed to demonstrate an ability to capture input signals. Based on its function, parameters for a final device are determined. Then, electronic component selection and design of printed circuit boards is described with an aim to maximalize polyphony and minimize latency of the sound generator. After that, firmware with software mixing algorithm is designed. Lastly, testing and measurement of real device parameters is performed.
2

Débogage des systèmes embarqués multiprocesseur basé sur la ré-exécution déterministe et partielle / Deterministic and partial replay debugging of multiprocessor embedded systems

Georgiev, Kiril 04 December 2012 (has links)
Les plates-formes MPSoC permettent de satisfaire les contraintes de performance, de flexibilité et de consommation énergétique requises par les systèmes embarqués émergents. Elles intègrent un nombre important de processeurs, des blocs de mémoire et des périphériques, hiérarchiquement organisés par un réseau d'interconnexion. Le développement du logiciel est réputé difficile, notamment dû à la gestion d'un grand nombre d'entités (tâches/threads/processus). L'exécution concurrente de ces entités permet d'exploiter efficacement l'architecture mais complexifie le processus de mise au point et notamment l'analyse des erreurs. D'une part, les exécutions peuvent être non-déterministes notamment dû à la concurrence, c'est à dire qu'elles peuvent se dérouler d'une manière différente à chaque reprise. En conséquence, il n'est pas garanti qu'une erreur se produirait durant la phase de mise au point. D'autre part, la complexité de l'architecture et de l'exécution peut rendre trop important le nombre d'éléments à analyser afin d'identifier une erreur. Il pourrait donc être difficile de se focaliser sur des éléments potentiellement fautifs. Un des défis majeurs du développement logiciel MPSoC est donc de réduire le temps de la mise au point. Dans cette thèse, nous proposons une méthodologie de mise au point qui aide le développeur à identifier les erreurs dans le logiciel MPSoC. Notre premier objectif est de déboguer une même exécution plusieurs fois afin d'analyser des sources potentielles de l'erreur jusqu'à son identification. Nous avons donc identifié les sources de non-déterminisme MPSoC et proposé des mécanismes de ré-exécution déterministe les plus adaptés. Notre deuxième objectif vise à minimiser les ressources pour reproduire une exécution afin de satisfaire la contrainte MPSoC de maîtrise de l'intrusion. Nous avons donc utilisé des mécanismes efficaces de ré-exécution déterministe et considéré qu'une partie du comportement non-déterministe. Le troisième objectif est de permettre le passage à l'échelle, c'est à dire de déboguer des exécutions caractérisées par un nombre d'éléments de plus en plus croissant. Nous avons donc proposé une méthode qui permet de circonscrire et de déboguer qu'une partie de l'exécution. De plus, cette méthode s'applique aux différents types d'architectures et d'applications MPSoC. / MPSoC platforms provide high performance, low power consumption and flexi-bility required by the emerging embedded systems. They incorporate many proces-sing units, memory blocs and peripherals, hierarchically organized by interconnec-tion network. The software development is known to be difficult, namely due to themanagement of multiple entities (tasks/threads/processes). The concurrent execu-tion of these entities allows to exploit efficiently the architecture but complicatesthe refinement process of the software and especially the debugging activity. Onthe one hand, the executions of the software can be non-deterministic, namely dueto the concurrency, i.e. they perform differently each time. Consequently, thereis no guaranties that an error will occur during the debugging activity. On theother hand, the complexity of the architecture and the execution can increase theelements to be analyzed in the debugging process. As a result, it can be difficultto concentrate on the potentially faulty elements. Therefore, one of the most im-portant challenges in the development process of MPSoC software is to reduce thetime of the refinement process.In this thesis, we propose a new methodology to refine the MPSoC softwarewhich helps the developers to do the debugging activity. Our first objective is tobe able to debug the same execution several times in order to analyze potentialsources of the error. To do so, we identified the sources of non-determinism in theMPSoC software executions and propose the most appropriate methods to recordand replay them. Our second objective is to reduce the execution overhead requi-red by the record mechanisms to limit the intrusiveness which is an importantMPSoC constraint. To accomplish this objective, we consider a part of the non-deterministic behaviour and selected efficient record-replay methods. The thirdobjective is to provide a scalable solution, i.e. to be able to debug more and morecomplex executions, characterized by an increasing number of elements. Therefore,we propose a partial replay method which allows to isolate and debug a fraction ofthe execution elements. Moreover, this method applies to different types of archi-tectures and applications MPSoC.
3

Combining Anomaly- and Signaturebased Algorithms for IntrusionDetection in CAN-bus : A suggested approach for building precise and adaptiveintrusion detection systems to controller area networks

Andersson, Robin January 2021 (has links)
With the digitalization and the ever more computerization of personal vehicles, new attack surfaces are introduced, challenging the security of the in-vehicle network. There is never such a thing as fully securing any computer system, nor learning all the methods of attack in order to prevent a break-in into a system. Instead, with sophisticated methods, we can focus on detecting and preventing attacks from being performed inside a system. The current state of the art of such methods, named intrusion detection systems (IDS), is divided into two main approaches. One approach makes its models very confident of detecting malicious activity, however only on activities that has been previously learned by this model. The second approach is very good at constructing models for detecting any type of malicious activity, even if never studied by the model before, but with less confidence. In this thesis, a new approach is suggested with a redesigned architecture for an intrusion detection system called Multi-mixed IDS. Where we take a middle ground between the two standardized approaches, trying to find a combination of both sides strengths and eliminating its weaknesses. This thesis aims to deliver a proof of concept for a new approach in the current state of the art in the CAN-bus security research field. This thesis also brings up some background knowledge about CAN and intrusion detection systems, discussing their strengths and weaknesses in further detail. Additionally, a brief overview from a handpick of research contributions from the field are discussed. Further, a simple architecture is suggested, three individual detection models are trained and combined to be tested against a CAN-bus dataset. Finally, the results are examined and evaluated. The results from the suggested approach shows somewhat poor results compared to other suggested algorithms within the field. However, it also shows some good potential, if better decision methods between the individual algorithms that constructs the model can be found.

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