This paper deals with the application of project management approach and determination of the project life cycle methodology, according to the PMBoK field of audiovisual production. Using other methods of project management, implementation and evaluation of control systems for processes in the formation and progress of the project. Determination of the legislation that covers this area. Creating a general procedure, which is divided into various stages of implementation and identify key processes and milestones that need to be further defined. It introduces a system of checks and assessment procedures to facilitate the acceptance and fulfillment of set conditions. Improved work and access to information that is critical for the project. Supporting the project processes with software tools to facilitate the implementation and its management.

The aim of this master thesis is to make research of Open Source software, which are used for simulation autonomous robots. At the begining is performed research of selected robotic simulators. In the first part of this work is to get familiar with robotic simulator Gazebo and robotic framework ROS. The second part of this work deals with simulating and subsequent implementation of choosen robotic tasks through the simulator Gazebo and the ROS framework.

Diploma thesis describes the company and analyzes the company from financial view. Afterwards, the software program based on VBA language in MS Excel environment is designed and made. The program analyses accounts and calculates the results of financial analysis. User is able to display the results in the graph with the possibility to display the trend.

WWW in Chemnitz Tcl/Tk Software -- kurz vorgestellt: Mathematica, NAG, Maple, MuPAD UNIRAS, PV-WAVE, Pro/ENGINEER SNIFF+, SPARCworks SYBASE PVM, EXPRESS SPSS XVision, PC/TCP FrameMaker, IslandPresents Parallelrechner des URZ

Even though there are no regulations on the interior noise level of passenger cars, it is a significant quality aspect both for customers and for car manufacturers. The reduction of many other car noise sources pushed tyre road noise to the forefront.What is more, well known phenomenon of the tyre acoustic cavity resonance (TCR), appearing around 225 Hz, makes the interior noise noticeably worse. Some techniques to mitigate this phenomenon right at the source are discussed in this thesis, however, these has not been adopted by the tyre nor car manufacturers yet.Therefore, there is a desire to minimise at least the transmission of the acoustic or vibration energy from the tyre to the compartment. This is where methods like TPA (Transfer Path Analysis) come into play.In this thesis, two different approaches to TPA are used to investigate transmission of the TCR energy.First, the coherence based road decomposition method is used to determine whether the TCR energy is transmitted by a structure-borne or an air-borne mechanism. The same method serves to identify if the TCR noise comes mainly from the front or the rear suspension.Second, the impedance matrix method was used to determine critical structure-borne transfer paths yielding clear results indicating two critical mounts at the rear suspension which dominate the transfer of vibro-acoustic energy. Subsequent physical modification of the critical mount was tested to verify the results of the transmission study.Moreover, deflection shape analysis of the tyre, rim, front and rear suspension was performed to identify possible amplification effects of the TCR phenomenon.

SLAM (localisation et cartographie simultanées) joue un rôle important dans plusieurs applications telles que les robots autonomes, les véhicules intelligents, les véhicules aériens sans pilote (UAV) et autres. De nos jours, les applications SLAM basées sur la vision en temps réel deviennent un sujet d'intérêt général dans de nombreuses recherches. L'une des solutions pour résoudre la complexité de calcul des algorithmes de traitement d'image, dédiés aux applications SLAM, consiste à effectuer un traitement de haut ou de bas niveau sur les coprocesseurs afin de créer un système sur puce. Les architectures hétérogènes ont démontré leur capacité à devenir des candidats potentiels pour un système sur puce dans une approche de co-conception de logiciels matériels. L'objectif de cette thèse est de proposer un système de vision implémentant un algorithme SLAM sur une architecture hétérogène (CPU-GPU ou CPU-FPGA). L'étude permettra d'évaluer ce type d'architectures et contribuer à répondre aux questions relatives à la définition des fonctions et/ou opérateurs élémentaires qui devraient être implantés et comment intégrer des algorithmes de traitement de données tout en prenant en considération l'architecture cible (dans un contexte d'adéquation algorithme architecture). Il y a deux parties dans un système SLAM visuel : Front-end (extraction des points d'intérêt) et Back-end (cœur de SLAM). Au cours de la thèse, concernant la partie Front-end, nous avons étudié plusieurs algorithmes de détection et description des primitives dans l’image. Nous avons développé notre propre algorithme intitulé HOOFR (Hessian ORB Overlapped FREAK) qui possède une meilleure performance par rapport à ceux de l’état de l’art. Cet algorithme est basé sur la modification du détecteur ORB et du descripteur bio-inspiré FREAK. Les résultats de l’amélioration ont été validés en utilisant des jeux de données réel connus. Ensuite, nous avons proposé l'algorithme HOOFR-SLAM Stereo pour la partie Back-end. Cet algorithme utilise les images acquises par une paire de caméras pour réaliser la localisation et cartographie simultanées. La validation a été faite sur plusieurs jeux de données (KITTI, New_College, Malaga, MRT, St_lucia…). Par la suite, pour atteindre un système temps réel, nous avons étudié la complexité algorithmique de HOOFR SLAM ainsi que les architectures matérielles actuelles dédiées aux systèmes embarqués. Nous avons utilisé une méthodologie basée sur la complexité de l'algorithme et le partitionnement des blocs fonctionnels. Le temps de traitement de chaque bloc est analysé en tenant compte des contraintes des architectures ciblées. Nous avons réalisé une implémentation de HOOFR SLAM sur une architecture massivement parallèle basée sur CPU-GPU. Les performances ont été évaluées sur un poste de travail puissant et sur des systèmes embarqués basés sur des architectures. Dans cette étude, nous proposons une architecture au niveau du système et une méthodologie de conception pour intégrer un algorithme de vision SLAM sur un SoC. Ce système mettra en évidence un compromis entre polyvalence, parallélisme, vitesse de traitement et résultats de localisation. Une comparaison avec les systèmes conventionnels sera effectuée pour évaluer l'architecture du système définie. Vue de la consommation d'énergie, nous avons étudié l'implémentation la partie Front-end sur l'architecture configurable type soc-FPGA. Le SLAM kernel est destiné à être exécuté sur un processeur. Nous avons proposé une architecture par la méthode HLS (High-level synthesis) en utilisant langage OpenCL. Nous avons validé notre architecture sur la carte Altera Arria 10 soc. Une comparaison avec les systèmes les plus récents montre que l’architecture conçue présente de meilleures performances et un compromis entre la consommation d’énergie et les temps de traitement. / SLAM (Simultaneous Localization And Mapping) has an important role in several applications such as autonomous robots, smart vehicles, unmanned aerial vehicles (UAVs) and others. Nowadays, real-time vision based SLAM applications becomes a subject of widespread interests in many researches. One of the solutions to solve the computational complexity of image processing algorithms, dedicated to SLAM applications, is to perform high or/and low level processing on co-processors in order to build a System on Chip. Heterogeneous architectures have demonstrated their ability to become potential candidates for a system on chip in a hardware software co-design approach. The aim of this thesis is to propose a vision system implementing a SLAM algorithm on a heterogeneous architecture (CPU-GPU or CPU-FPGA). The study will allow verifying if these types of heterogeneous architectures are advantageous, what elementary functions and/or operators should be added on chip and how to integrate image-processing and the SLAM Kernel on a heterogeneous architecture (i. e. How to map the vision SLAM on a System on Chip).There are two parts in a visual SLAM system: Front-end (feature extraction, image processing) and Back-end (SLAM kernel). During this thesis, we studied several features detection and description algorithms for the Front-end part. We have developed our own algorithm denoted as HOOFR (Hessian ORB Overlapped FREAK) extractor which has a better compromise between precision and processing times compared to those of the state of the art. This algorithm is based on the modification of the ORB (Oriented FAST and rotated BRIEF) detector and the bio-inspired descriptor: FREAK (Fast Retina Keypoint). The improvements were validated using well-known real datasets. Consequently, we propose the HOOFR-SLAM Stereo algorithm for the Back-end part. This algorithm uses images acquired by a stereo camera to perform simultaneous localization and mapping. The HOOFR SLAM performances were evaluated on different datasets (KITTI, New-College , Malaga, MRT, St-Lucia, ...).Afterward, to reach a real-time system, we studied the algorithmic complexity of HOOFR SLAM as well as the current hardware architectures dedicated for embedded systems. We used a methodology based on the algorithm complexity and functional blocks partitioning. The processing time of each block is analyzed taking into account the constraints of the targeted architectures. We achieved an implementation of HOOFR SLAM on a massively parallel architecture based on CPU-GPU. The performances were evaluated on a powerful workstation and on architectures based embedded systems. In this study, we propose a system-level architecture and a design methodology to integrate a vision SLAM algorithm on a SoC. This system will highlight a compromise between versatility, parallelism, processing speed and localization results. A comparison related to conventional systems will be performed to evaluate the defined system architecture. In order to reduce the energy consumption, we have studied the implementation of the Front-end part (image processing) on an FPGA based SoC system. The SLAM kernel is intended to run on a CPU processor. We proposed a parallelized architecture using HLS (High-level synthesis) method and OpenCL language programming. We validated our architecture for an Altera Arria 10 SoC. A comparison with systems in the state-of-the-art showed that the designed architecture presents better performances and a compromise between power consumption and processing times.

The Casas Grandes region of northern Mexico is an understudied, though important, part of the culture area that has come to be known as the Northwest/Southwest (NW/SW). What studies have been conducted in the Casas Grandes region have focused on the Medio Period (approximately 1200-1450 AD) and the large site of Paquimé. Only a small amount of research has been conducted on the preceding Viejo Period (approximately 700-1200 AD). In this thesis, I create a clearing house of published Viejo Period architectural features excavated in the Casas Grandes region. I also analyze those features to develop our understanding of the materials and technological choices used to construct these features, and to evaluate the validity of sub-regional zones which have begun to develop within the archaeological literature from this area. These analyses include a qualitative analysis of the excavated architectural features as well as statistical clustering methods, a Principal Components Analysis, and a Correspondence Analysis of available architectural data. I ultimately propose revisions to the existing architectural typology for the Viejo Period and the abandonment of the concept of sub-regional zones within the Casas Grandes region. I also observe some emerging patterns within the architectural data and suggest that further research is needed to fully understand the distribution of architectural features throughout the region.

This phenomenological study captured the experiences of elementary educators with the purpose of gathering their perceptions of the use of restorative practices and positive behavior supports in their schools with a particular focus on how these programs influenced school climate, their professional efficacy, and their job satisfaction. Results of interviews lead to the emergence of seven major themes, which were the importance of understanding the underlying causes of student behavior, change, common practices of positive behavior supports and restorative practices, benefits for students, benefits for educators, struggles with implementation, and suggestions for implementation. These findings led to the identification of seven implications for practice and six recommendations for future research.

Cílem této práce bylo popsat řízení bezpečnosti a kontrolní mechanizmy, které jsou používané v korporátním prostředí. Práce se zabývá teoretickým popisem standardů používaných pro aplikační bezpečnost, dále popisuje nástroje určené pro získavání informací o firemním prostředí, které mohou být použity pro odhalovaní bezpečnostních zranitelností, nebo pro jejich odstranění. Také popisuje procesy, kterými se mají společnosti řídit, aby byla minimalizována možnost dopadu na produkci a rovněž zaručena trvalá bezpečnost prostředí. Uvedené jsou i kontroly dosažených výsledků při použití nových technologií a jejich finanční i časové výhody.

Spacecrafts are extensively used by public and private sectors to support a variety of services. Considering the cost and the strategic importance of these spacecrafts, there has been an increasing demand to utilize strong cryptographic primitives to assure their security. Moreover, it is of utmost importance to consider fault tolerance in their designs due to the harsh environment found in space, while keeping low area and power consumption. The problem of recovering spacecrafts from failures or attacks, and bringing them back to an operational and safe state is crucial for reliability. Despite the recent interest in incorporating on-board security, there is limited research in this area. This research proposes a trusted hardware module approach for recovering the spacecrafts subsystems and their cryptographic capabilities after an attack or a major failure has happened. The proposed fault tolerant trusted modules are capable of performing platform restoration as well as recovering the cryptographic capabilities of the spacecraft. This research also proposes efficient fault tolerant architectures for the secure hash (SHA-2) and message authentication code (HMAC) algorithms. The proposed architectures are the first in the literature to detect and correct errors by using Hamming codes to protect the main registers. Furthermore, a quantitative analysis of the probability of failure of the proposed fault tolerance mechanisms is introduced. Based upon an extensive set of experimental results along with probability of failure analysis, it was possible to show that the proposed fault tolerant scheme based on information redundancy leads to a better implementation and provides better SEU resistance than the traditional Triple Modular Redundancy (TMR). The fault tolerant cryptographic primitives introduced in this research are of crucial importance for the implementation of on-board security in spacecrafts.