The master´s thesis is about creating of travel blog. In the beginning there is analysis of actual situation and creating of change. Right after will be created risk analysis to see and identify risk and in case to express and stand in front of risk regarding their risk seriousness. Blog asi t is will be created with help of tools of project management and it should be transformed to small business in selling of cheap flights through the business partner.

The diploma thesis is focused on the packaging industry. Through the application of project management methods it proposed a solution a sewing workshop for the VMT Ecopack s.r.o. The Introductory part is aimed at the description of basic concepts and all subsequent stages of the project, focusing especially on the methodologies in the planning part. The Analytical section primarily states information about the company including conducted analysis of the internal and external area. The last part has been designed and developed my own proposal to establish, encompass and develop a new section of the company through the use of effective project management tools and approaches.

Thesis deals with design and integration of enterprise information system in a manufacturing company. Main part of this work is to design a detailed plan of implementation including identification of critical factors and ensure the prerequisites for system operation. The outcome of this work is to create the asset for both sides of contractual relationship.

De nos jours, l’omniprésence des systèmes mobiles ne fait qu’accroitre et ces derniers deviennent indispensables pour nombreux d’entre nous. Les constructeurs de ces plateformes mobiles inondent le marché avec des produits de plus en plus performants et contenant un grand nombre d’applications énergivores. Le revers de la médaille de cette popularité est la consommation d’énergie. En effet, les caractéristiques des systèmes mobiles actuels ne font qu’accentuer le besoin d’une refonte des techniques d’optimisations de la consommation d’énergie. Dans une époque où les consciences s’élèvent pour un monde plus «green», de nombreuses solutions sont proposées pour répondre à la problématique de la consommation d’énergie des systèmes mobiles. Cependant, dans les solutions existantes, le comportement de l’utilisateur et ses besoins sont rarement considérés. Cette omission est paradoxale car c’est le comportement de l’utilisateur final qui détermine la consommation d’énergie du système. D’autre part, l’utilisation des données qui émanent des différents capteurs embarqués et du système d’exploitation peut être bénéfique pour mettre en place des politiques efficientes de gestion de puissance. Exploité à bon escient, l’important flux d’informations disponible est susceptible de servir à la caractérisation du comportement de l’utilisateur, ses habitudes et ses besoins en matière de configuration hardware. En assimilant ces informations et en les traitant, nous pouvons proposer des optimisations d’énergie sans altérer la satisfaction de l’utilisateur. Dans cette thèse nous proposons le modèle CPA pour Collect – Process – Adjust. Ce modèle permet de collecter des données émanant de différentes sources, les traiter et en générer des politiques d’optimisations d’énergie. Les travaux de cette thèse ont été réalisés en coopération avec Intel. L’objectif de cette collaboration est la conception et la réalisation de solutions permettant d’améliorer la gestion d’énergie proposée par le système d’exploitation. / Optimizing energy consumption in modern mobile handled devices plays a crucial role as lowering the power consumption impacts battery life and systemreliability. Recent mobile platforms have an increasing number of sensors and processing components. Added to the popularity of power-hungry applications, battery life in mobile devices is an important issue. However, the utilization pattern of large amount of data from the various sensors can be beneficial to detect the changing device context, the user needs and the running application requirements in terms of hardware resources. When these information are used properly, an efficient control of power knobs can be implemented to reduce the energy consumption. This thesis has been achieved in collaboration with Intel Portland.

In today’s research and market, IT applications for health-care are gaining huge interest of both IT and medical researchers. Cardiovascular diseases (CVDs) are considered the largest cause of death for both men and women regardless of ethnic backgrounds. More efficient treatments and most importantly efficient methods of cardiac diagnosis that examine heart diseases are desired. Electrocardiography (ECG) is an essential method used to diagnose heart diseases. However, diagnosing any cardiovascular disease based on the 12-lead ECG printout from an ECG machine using human eye might seriously impair analysis accuracy. To meet this challenge of today’s ECG analysis methodology, a more reliable solution that can analyze huge amount of patient’s data in real-time is desired. The software solution presented in this article is aimed to reduce the risk while diagnosing cardiovascular diseases (CVDs) by human eye, computation of large-scale patient’s data in real-time at the patient’s location and sending the required results or summary to the doctor/nurse. Keeping in mind the importance of real-time analysis of patient’s data, the software system has built upon small individual algorithms/modules designed for multi-core architecture, where each module is supposed to be processed by an individual core/processor in parallel. All the input and output processes to the analysis system are made automated, which reduces operator’s interaction to the system and thus reducing the cost. The outputs/results of the processing are summarized to smaller files in both ASCII and binary formats to meet the requirement of exchanging the data over Voice and Data Networks.

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På Scanias chassimontering används mjukvaran AVIX för att skapa elementblad, positionsstandarder och balansera monteringslinorna. Tidssättningen sker för närvarande med stoppurmetoden, men en övergång till Scania Time Block (STB) är pågående. STB är en metod som redan har standardiserade tider för olika moment och används i stället för manuell tidtagning. Målet är att förstå hur Scania arbetar med AVIX och ES, analysera kompetenserna i AVIX och STB, samt tidssätta fler positioner med STB och förbättra processer och rutiner. STB bygger på MTM-SAM metoden och använder standardiserade koder för olika moment på ES. En utredning genomfördes på trycktanksförmonteringen för att undersöka tidsdifferensen mellan de olika metoderna och tidspress hos montörerna. Genom att använda STB kunde man få en objektiv och standardiserad tidsuppskattning för att producera en specifik variant. En intressant observation var att det fanns en tydlig avvikelse mellan de manuellt klockade tiderna och STB-tiderna. De manuella tiderna verkar inte ta hänsyn till specifika steg som operatörerna måste utföra. Baserat på analysen rekommenderas Scania att införa STB på alla produktionsanläggningar, särskilt för chassi, för att säkerställa att montörerna får en rättvis takttid som tar hänsyn till den faktiska tiden för varje moment. Detta skulle bidra till förbättrade processer och rutiner i produktionen. / Scania's chassis assembly utilizes the software AVIX to create bill of materials, position standards, and balance assembly lines. Currently, time measurement is done manually using stopwatch, but a transition to Scania Time Block (STB) is underway. STB is a method that already has standardized times for different tasks and replaces manual timing. The goal is to understand Scania's utilization of AVIX and ES, analyze the competencies in AVIX and STB, time more positions using STB, and improve processes and routines. STB is based on the MTM-SAM method and employs standardized codes for various tasks on the assembly line. An investigation was conducted on the pre-assembly of pressurized tanks to examine the time differences between the methods and the time pressure experienced by the assemblers. By utilizing STB, an objective and standardized time estimation for producing a specific variant could be obtained. An interesting observation was a clear deviation between the manually timed durations and the STB times. The manual timings seemed to overlook specific steps that operators must perform. Based on the analysis, it is recommended that Scania implement STB across all production facilities, particularly for chassis, to ensure fair cycle times that consider the actual time required for each task. This would contribute to improved processes and routines in the production line.

During the past decades of research in Real-Time systems, non-preemptive scheduling and fully preemptive scheduling have been extensively investigated, as well as compared with each other. However, it has been shown that none of the two scheduling paradigms dominates over the other in terms of schedulability. In this context, Limited Preemptive Scheduling (LPS) has emerged as an attractive alternative with respect to, e.g., increasing the overall system schedu- lability, efficiently reducing the blocking by lower priority tasks (compared to non-preemptive scheduling) as well as efficiently controlling the number of preemptions, thus controlling the overall preemption-related delay (compared to fully-preemptive scheduling). Several approaches within LPS enable the above mentioned advantages. In our work, we consider the Fixed Preemption Point Scheduling (LP-FPP) as it has been proved to effectively reduce the preemption-related delay compared to other LPS approaches. In particular, LP-FPP facilitates more precise estimation of the preemption-related delays, since the preemption points of a task in LP-FPP are explicitly selected during the design phase, unlike the other LPS approaches where the preemption points are determined at runtime. The main goal of the proposed work is to improve the schedulability of real-time systems under the LP-FPP approach. We investigate its use in different domains, such as: single core hard real-time systems, partitioned multi-core systems and real-time systems which can occasionally tolerate deadline misses. We enrich the state of the art for the single core hard real-time systems by proposing a novel cache-related preemption delay analysis, towards reducing the pessimism of the previously proposed methods. In the context of partitioned multi-core scheduling we propose a novel partitioning criterion for the Worst-Fit Decreasing based partitioning, and we also contribute with the comparison of existing partitioning strategies for LP-FPP scheduling. Finally, in the context of real-time systems which can occasionally tolerate deadline misses, we contribute with a probabilistic response time analysis for LP-FPP scheduling and a preemption point selection method for reducing the deadline-misses of the tasks.

Raman spectroscopy, together with multivariate statistical analyses, has proven to be a near real-time analytical technique capable of phenotyping cells, tissues and organs. This dissertation will show exclusively the application of the Raman spectroscopy phenotypic profiling method to; (i) microbial toxicity, (ii) ex-vivo organ perfusion, and (iii) subcellular location targeting. Real-time analytical methods for monitoring living biological systems will enable study of the physiological changes associated with growth, genetic manipulations, and adverse environmental conditions. Most existing analytical methods (NMR exempt), though highly accurate, must be performed off-line and most require destruction of the studied sample. These attributes make these methodologies less desirable to the study of physiological changes of cells, tissues, and organs. In this work, Raman spectroscopy has been identified and shown to be a good candidate for real-time analysis mainly because it can be performed: (i) in near real-time, (ii) non-destructively and with minimal sample preparation, (iii) through a glass barrier (i.e., can be performed in situ), and (iv) with minimal spectral interference from water. Here, Raman spectroscopy was used in combination with multivariate statistics to analyze the differing toxic effects of 4-C chain alcohols on E. coli. Good correlations were established between Raman spectra and off-line analytical techniques used to measure: (i) saturated, unsaturated, and cyclopropane fatty acids; (ii) amino acid composition of total protein; and (iii) cell membrane fluidity. Also, Raman 'fingerprint' analysis was used to discriminate among different phenotypic responses of cells. In addition, this methodology was applied to analyze perfusates of organs maintained by the VasoWave® organ perfusion system. Raman fingerprints can be used to assess organ health, and it is believed this data can be used to inform decisions such as whether or not to transplant an organ. Finally, molecular biology techniques were used to design and produce specific protein targets harboring a silver binding domain fusion, which upon release migrate to specific subcellular locations. By employing the related technique of surface-enhanced Raman scattering (SERS), which produces a highly amplified Raman signal in the presence of metallic nanoparticle substrates (e.g., silver nanoparticles), different regions of the E. coli cell structure were studied. The target regions studied by the technique included: (i) outer cell membrane, (ii) periplasm, and the (iii) cytoplasm. / Ph. D.

L’action humaine dans une séquence vidéo peut être considérée comme un volume spatio- temporel induit par la concaténation de silhouettes dans le temps. Nous présentons une approche spatio-temporelle pour la reconnaissance d’actions humaines qui exploite des caractéristiques globales générées par la technique de réduction de dimensionnalité MDS et un découpage en sous-blocs afin de modéliser la dynamique des actions. L’objectif est de fournir une méthode à la fois simple, peu dispendieuse et robuste permettant la reconnaissance d’actions simples. Le procédé est rapide, ne nécessite aucun alignement de vidéo, et est applicable à de nombreux scénarios. En outre, nous démontrons la robustesse de notre méthode face aux occultations partielles, aux déformations de formes, aux changements d’échelle et d’angles de vue, aux irrégularités dans l’exécution d’une action, et à une faible résolution. / Human action in a video sequence can be seen as a space-time volume induced by the concatenation of silhouettes in time. We present a space-time approach for human action recognition, which exploits global characteristics generated by the technique of dimensionality reduction MDS and a cube division into sub-blocks to model the dynamics of the actions. The objective is to provide a method that is simple, inexpensive and robust allowing simple action recognition. The process is fast, does not require video alignment, and is applicable in many scenarios. Moreover, we demonstrate the robustness of our method to partial occlusion, deformation of shapes, significant changes in scale and viewpoint, irregularities in the performance of an action, and low-quality video.