Den här uppsatsen undersöker hur återblickar och framåtblickar kommuniceras i film och vad dehar för påverkan på narrativet. Syftet var att fördjupa sig i de narrativa verktygen och genomföraen analys på filmen Arrival för att ta reda på hur återblickar och framåtblickar kommuniceras,och hur de kan påverka ett narrativ. Analysen baserades på teori från tre olika böcker: Film Artskriven av David Bordwell, Kristin Thompson och Jeff Smith, Flashbacks in Film: Memory &History skriven av Maureen Turim och Flashbacks in Film: A Cognitive and MultimodalAnalysis skriver av Adriana Gordejuela. Specifika delar från böckerna har plockats ut för attskapa en analysmetod som tittar på kausala relationer mellan händelser, vad återblickenrespektive framåtblicken har för syfte i berättelsen och hur dem har gestaltats. Analysen avArrival genererade ett resultat som visade att återblickar och framåtblickar påverkar narrativetgenom att skapa förväntningar och ge förklaringar till karaktärers beteende. I just Arrivalanvänds verktygen också för att skapa intrig och tvister, och på så sätt vända upp och ner på dennarrativa tidslinjen åskådaren har byggt upp under filmens gång. Resultatet visade också attåterblickar och framåtblickar gestaltas med liknande medel, vilket är något som teorin intenämner. Teorin är främst baserad på analyser av återblickar men det visar sig att framåtblickargår att analyseras med samma metoder

No / In this research work the improvement of AOA estimation accuracy by applying a decoupling matrix derived using the receiving mode approach has been investigated using data measured in an anechoic chamber. The receiver was a 4-element uniform circular array with quarter wavelength inter-element spacing deployed on a square metal plate. The performance of the angle of arrival estimation error has been observed for two groups of direction finding algorithms, namely phase comparison-based (interferometry) and covariance-based algorithms. Mutual coupling compensation on AOA was found to improve accuracy by approximately 50%.

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Public transportation operates in an environment which, due to its nature of numerous possibly influencing factors, is highly stochastic. This makes predictions of arrival times difficult, yet it’s important to be accurate in order to adhere to travelers expectations. In this study, the focus is on quantifying uncertainty around travel-time predictions as a means to improve the reliability of predictions in the context of public transportation. This is done by comparing Prediction Interval Coverage Probability (PICP) and Normalized Mean Prediction Interval Length (NMPIL). Three models, with two transformations of the response variable, were evaluated on real travel data from Skånetrafiken. The focus of the study was on examining a specific urban bus route, namely line 5 in Malmö, Sweden. The results indicated that a transformation based on the firstDifference achieved a better performance overall, but the results on a stopwise basis varied along the route. In terms of models, the uncertainty quantification revealed that Quantile Regression could be more appropriate at capturing data intervals which provide better coverage but at a shorter interval length, thus being more precise in its predictions. This is likely relatable to the robustness of the model and it being able to deal with extreme observations. A comparison with the current prediction model, which is agnostic in this study, revealed that the proposed point estimates from the Gaussian Process model based on the  firstDifference transformation outperformed the agnostic model on several stops. As such, further research is proposed as there is means for improvement in the current implementation.

The objective of this thesis is to design, build and evaluate a direction-of-arrival measurement system using an antenna array operating at 2050 MHz. The first phase of the project is an extensive study of various high resolution DOA estimation algorithms. The algorithms studied include subspace-based techniques such as the MUSIC (MUltiple Signal Classification) and ESPRIT (Estimation of Signal Parameters via Rotational Invariance) algorithm, and the integrated approaches which combine property restoral-based techniques such as the Iterative Least Squares Projection-based Constant Modulus Algorithm (lLSP-CMA) with subspace-based techniques. All these algorithms were simulated in MATLAB and their performance under different conditions were tested and compared. In the second phase of the project a six element uniformly spaced linear array receiver was built. Three Ariel DSP-96 boards based on the Motorola DSP96002 are used to simultaneously sample, collect, and store data from each of the array elements. The data collected by the DSP boards are processed off-line to estimate the directions of arrival. Several experiments are conducted to test the functioning of the system under various conditions, and demonstrate the performance of different algorithms. Results of these experiments are also presented in this thesis. / Master of Science

In this thesis, the problem of Angle of Arrival estimation of radar signals with Time Difference of Arrival method in an outdoor land multipath environment with limited line of sight is analyzed. A system model is proposed. Effects of system, channel and radar parameters on the Angle of Arrival estimation performance are investigated through Monte Carlo simulations. Improving effect of utilization of diversity on the estimation performance is observed. Performances of the space diversity with noncoherent and selective combining are compared. Finally a realistic scenario is studied and performance of the proposed system is investigated.

No / An investigation is carried out on the nature of QoS measures for queues with correlated traffic in both discrete and continuous time domains. The study focuses on the single server GI(G)/M-[x]/1/N and GI(G)/Geo([x])/1/N queues with finite capacity, N, a general batch renewal arrival process (BRAP), GI(G) and either batch Poisson, M-[x] or batch geometric, Geo([x]) service times with general batch sizes, X. Closed form expressions for QoS measures, such as queue length and waiting time distributions and blocking probabilities are stochastically derived and showed to be, essentially, time domain invariant. Moreover, the sGGeo(sGGo)/Geo/l/N queue with a shifted generalised geometric (sGGeo) distribution is employed to assess the adverse impact of varying degrees of traffic correlations upon basic QoS measures and consequently, illustrative numerical results are presented. Finally, the global balance queue length distribution of the M-Geo/M-Geo/1/N queue is devised and reinterpreted in terms of information theoretic principle of entropy maximisation. (C) 2014 Elsevier Inc. All rights reserved.