L’autopartage est une manière moderne de louer une voiture. C'est un système attractif pour les clients qui utilisent une voiture occasionnellement. Dans un système d’autopartage, une flotte de véhicules est répartie sur une aire urbaine. Les client peuvent prendre ou rendre une voiture à n'importe quel moment et à n'importe quelle station, à condition qu’il y ait une voiture de libre à la station de départ et qu’il y a une place de parking libre à la station de destination. Pour s'en assurer, les clients peuvent réserver une voiture en avance. Pour qu’un tel système fonctionne de manière satisfaisante, il faut que le nombre de véhicules et le nombre de places libres dans les stations s'équilibrent. Cela conduit à un problème d'équilibre d'occupation des stations, appelé problème de relocalisation : un opérateur doit surveiller l'occupation des stations et décider quand et de quelle manière les voiture doivent être deplacées d’une station « trop pleine » à une station « insuffisamment pleine ». Nous considérons un système d’autopartage innovant, où les voitures sont partiellement autonomes. Cela permet de constituer des convois de véhicules que dirige un véhicule spécial, de sorte qu'un convoi est mis en mouvement par un seul conducteur. Cette configuration est similaire au système mis en place pour les vélos en libre-service, où un camion peut déplacer plusieurs vélos simultanément pendant le processus de la relocalisation. Dans le cadre de cette thèse, nous développons les aspects dynamiques et statiques du problème de relocalisation. Le « problème de relocalisation dynamique » décrit la situation où les voitures sont déplacées pendant les heures de travail afin de satisfaire les besoins des clients. L’opérateur doit prendre des décisions « dynamiques », en fonction de la situation. Dans le cadre du « problème de relocalisation statique », nous supposons qu’il n'y a aucune interaction (ou très peu) entre les clients et le système. Cette situation se produit lorsque le système est préparé pour le lendemain (ex : processus de la relocalisation effectué pendant la nuit). Nous modélisons le problème de relocalisation dans le cadre d’un système de tâches métriques. Ensuite, nous analysons les deux problèmes et nous donnons des stratégies pour les résoudre. Enfin, nous effectuons quelques expériences de calcul pour examiner l’applicabilité des algorithmes présentés en pratique. / Carsharing is a modern way of car rental, attractive to customers who make only occasional use of a car on demand. In a carsharing system, a fleet of cars is distributed at specified stations in an urban area, customers can take a car at any time and station and return it at any time and station, provided that there is a car available at the start station and a free place at the destination station. To ensure the latter, customers have to book their demands in advance. For operating such a system in a satisfactory way, the stations have to keep a good ratio between the total number of places and the number of cars in each station, in order to serve as many requests as possible. This leads to the problem of balancing the load of the stations, called Relocation Problem: an operator has to monitor the load and to decide when and how to move cars from “overfull” stations to “underfull” ones. We consider an innovative carsharing system, where the cars are partly autonomous, which allows to build wireless convoys of cars leaded by a special vehicle, such that the whole convoy is moved by only one driver. This setting is similar to bikesharing, where trucks can simultaneously move several bikes during the relocation process. In this thesis, we address the dynamic and static aspects of the Relocation Problem. The “Dynamic Relocation Problem” describes the situation when cars can be moved between stations during the working hours in order to satisfy the needs of the customers. Hereby, the operator has to make decisions dynamically according to the current situation. In the “Static Relocation Problem” we assume that there is no (or only little) interaction by customers with the system. This situation occurs when the carsharing system is prepared for the next day, i.e., the relocation process is performed during the night. We model the Relocation Problem in the framework of a metric task system. Afterwards, we theoretically analyze both problems and give strategies to solve them. Finally, we perform some computational experiments to examine the applicability of the presented algorithms in practice.

Cars are tightly connected with daily duties of enterprisers. The goal of this Theses is to clarify legal, tax and accounting environment, focusing on cars, where enterprisers are working in and its borders that should not be crossed. Theoretical situations, that can anytime happen when using cars in business, are shown on practical examples.

<p>In recent years lithium-ion battery electric vehicles and stored hydrogen electric vehicles have been developed to address the ever-present threat of climate change and global warming. These technologies have failed to achieve profitability at costs consumers are willing to bear when purchasing a vehicle. IFBattery, Inc. has developed a unique primary battery chemistry which simultaneously produces both electricity and hydrogen-on-demand while being both low cost and without carbon emissions. In order to determine the feasibility of the IFBattery chemistry for mobile applications, a prototype golf cart was constructed as the first public application of IFBattery technology. The legacy lead acid batteries of the prototype golf cart were replaced with an IFBattery chemistry tuned to primarily produce hydrogen-on-demand with supplemental electricity. Hydrogen produced by the IFBattery was purified and then fed into a hydrogen fuel cell where electricity was produced to power the vehicle. Electricity from the IFBattery was converted to the common voltage of the golf cart and also used to power the vehicle. Validation testing of the IFBattery powered golf cart demonstrated favorable results as an alternative to both lithium-ion battery and stored hydrogen technologies, and displayed potential for future applications.</p>

With an increase of Swedish upper-secondary students’ motivation to enrol in university studies (Statistics Sweden, 2020a, 2020b), teachers must ensure that learners are adequately equipped to meet the expectations of higher education. However, in a national report, Skolinspektionen (2015) states many students fail to meet the standards of academic writing when undertaking the diploma project. To ensure learners become eligible for graduation and prepared for university studies, teachers need to be able to instruct pupils and to design effective scaffolding for diploma project writing. Therefore, the following study investigates the applicability of a genre-based model as atool for analysing relevant student-produced researchers papers written by EFL students, and to what extent the same genre-pedagogical analytical framework may be suitable as a tool for helping teachers to develop scaffolding for diploma projects written in English (and other languages). To address questions, a direct content analysis employing John Swales’ CARS model (1990) of rhetorical moves as a conceptual framework as a point of departure was performed on six EFL teacher-student research papers from the English and Education program for upper-secondary teachers of English at Malmö university. The analysis demonstrated that while several moves were executed in the pre-service teachers’ papers, some moves were absent. Additionally, several unconventional moves were identified, which can be attributed to the specific genres of the independent and degree projects. Hence, Swales’ CARS model is applicable for analysing student-produced research papers following the IMRAD structure. However, further investigation is encouraged into the genre-specific features of the student papers and the subsequent adaptation of the model to reflect the student-paper genre more closely. Consequently, to employ the model for designing scaffolding for diploma projects, teachers need to develop a critical understanding of moves employed within and across disciplines and teach them explicitly as part of pupils’ training and assessment in the writing process. Finally, further research targeting how teachers design and implement explicit genre-based writing scaffolding is called for.

Předmětem diplomové práce je analýza potenciálu balkánského trhu pro distribuci luxusních automobilů Bentley a Lamborghini firmou Leonhardt Group Automobile. Společnost působí jako distributor luxusních značek koncernu Volkswagen Group v Německu a management zvažuje vstup na trhy zemí bývalé Jugoslávie. Z důvodu negativního vlivu globální hospodářské krize na automobilový průmysl autor analyzuje vedle distribuce nových automobilů i možnost prodeje ojetých vozů. V první části diplomové práce jsou popsána teoretická východiska vztahující k analýze trhu. Druhá, praktická část, je zaměřena na vlastní analýzu potenciálu vybraných trhů a zhodnocení, jestli má společnost Leonhardt Group na trhy vstoupit a jakou marketingovou strategii zvolit.

This Diploma thesis deals with the design of facilities for measuring wheel alignment and set-up of race car chassis. Two versions of measuring system have been elaborated, each measurement procedure is described. Stress analysis of main parts follow. The last part consists of factors affecting accuracy of measurement.

L’étude expérimentale des processus physico-chimiques de la combustion nécessite de disposer de diagnostics non-intrusifs. Le présent manuscrit reporte le développement du diagnostic laser de mesure de température DRASC (Diffusion Raman anti-Stokes Cohérente) en régime d’impulsions laser femtoseconde pour lequel la configuration à sonde à dérive de fréquence (CPP) a permis d’effectuer des mesures instantanées de température à 1kHz. Un travail à la fois théorique, numérique et expérimental a permis d’extraire la température des spectres DRASC instantanés acquis dans des mélanges air/argon (300-600K) et en flamme prémélangée CH4/Air avec une précision de l’ordre de 1% à 2100 K. La validité de ces résultats est obtenues par des confrontations numérique/expérimental pour différentes grandeurs d’influence. Cette étude permettra dans un proche futur d’appliquer le diagnostic DRASC fs CPP dans des flammes turbulentes représentatives d’écoulements réels observés en combustion aéronautique. / The experimental study of the physico-chemical processes of combustion requires the use of non-intrusive diagnostics. This manuscript reports the development of the CARS (Coherent Anti-Stokes Raman Scattering)) laser diagnostic in the femtosecond pulse regime for which the Chirped Pulse Probe (CPP) configuration enabled instantaneous measurements of temperature at 1kHz. A theoretical, numerical and experimental study allowed highlighting the possibility to measure temperature from the data processing of instantaneous DRASC spectra acquired in air/argon mixtures (300-600K) and in premixed flame CH4/Air with an accuracy of 1% at 2100 K. Validity of these results was obtained from numerical/experimental confrontations for different scalar parameters configurations. This study would enable in the near future the application of the CPP fs CARS diagnostic in turbulent flames representative of real flows observed in aeronautical combustion.

Valuation of used cars, affected by various technical attributes and information asymmetry, is the key objective of all agents operating on the automobile mar- ket. This thesis, focusing on a hedonic price analysis, aims to determine basic as well as additional attributes as determinants of a used car market price. In addition, the analysis sheds light upon novel attributes (service records, cigarette smoke pollution of a vehicle interior, selling channel factor in the e- commerce environment, and a German geographical division). The hedonic price research uses the unique data sample of the German used car market, extracted from the database of the e-commerce platform AutoScout24 com- prised of almost 51 thousand vehicles and 57 attributes. The model selection is specified by the incorporation of the Bayesian model averaging approach. The research proves the complexity of a valuation of a used vehicle in a term of a substantial number of relevant variables. The most interesting innovative conclusions are non-significant effect of selling channels and small local price differences among two German regions. Remarkable are also the significant effect of the status of previous owners, bodywork colour, and smoke pollution. The estimated vehicle lifespan of 10 years shows that cars have shorter than...

Alquimass es un proyecto realizado por estudiantes de la Universidad Peruana de Ciencias Aplicadas, con la función de ser un intermediario entre un arrendador de autos y un arrendatario del mismo bien. Además, nos presentamos como un negocio 100% digital. Asimismo, como primera instancia trabajaremos a través de redes sociales para conseguir nuestras primeras ventas. En la primera parte del proyecto de investigación, se explicará a detalle el problema que soluciona Alquimass, el público objetivo y un análisis al entorno actual. De forma similar, en la segunda parte nos dedicamos a explicar el plan de marketing que se plantea realizar para entrar al mercado. Por consiguiente, para validar nuestra información se ha realizado experimentos, que consisten en entrevistas a posibles usuarios y expertos. / Alquimass is a project carried out by students of the Peruvian University of Applied Sciences, with the function of being an intermediary between a car lessor and a lessee of the same property. In addition, we present ourselves as a 100% digital business. Likewise, as a first instance we will work through social networks to achieve our first sales. In the first part of the research project, the problem that Alquimass solves, the target audience and an analysis of the current environment will be explained in detail. Similarly, in the second part we are dedicated to explaining the marketing plan to be carried out to enter the market. Therefore, to validate our information, experiments have been carried out, consisting of interviews with potential users and experts. / Trabajo de investigación

Recommender systems are helpful tools employed abundantly in online applications to help users find what they want. This thesis re-purposes a collaborative filtering recommender built for incorporating social media (hash)tags to be used as a context-aware recommender, using time of day and activity as contextual factors. The recommender uses a matrix factorization approach for implicit feedback, in a music streaming setting. Contextual data is collected from users' mobile phones while they are listening to music. It is shown in an offline test that this approach improves recall when compared to a recommender that does not account for the context the user was in. Future work should explore the qualities of this model further, as well as investigate how this model's recommendations can be surfaced in an application.