Global ETD Search

1	Social blandning och blandade upplåtelseformer : En kvantitativ studie med tonvikt på nyproducerade bostadsområden von Sydow, Rebecca January 2013 (has links) Bostadsfrågor utgör en stor del i samhällsplanering, och boendesegregation har under de senaste åren uppmärksammats. Syftet med denna masteruppsats är att analysera befolkningssammansättningen i nyproducerade bostadsområden med särskilt fokus på blandade upplåtelseformer som metod för att uppnå social blandning. Uppsatsen är skriven på uppdrag av Arbetsmarknadsdepartementet och grundas i en teori om att blandade upplåtelseformer bidrar till en ökad social blandning och därmed ett mindre boendesegregerat samhälle. Teorier angående social blandning och dess effekter, samt strategin att blanda upplåtelseformer diskuteras. Frågeställningarna lyder: Bidrar social blandning i nyproducerade bostadsområden till mindre boendesegregation? Hur ser en eventuell förändring av befolkningssammansättningen ut i upplåtelseformerna? Har upplåtelseformer i nyproduktion förändrats över tid? Vilken roll har hyresrätten? Metoden är kvantitativ och bygger på LOUISE-data inom projektet SPaDE, och behandlar SAMS-områden i utvalda kommuner och stadsdelar i Sverige. Resultatet visar bland annat en skillnad mellan befolkningen i befintliga bostadsområden med befolkningen i områden med nyproduktion, trots en ökad blandning av upplåtelseformer och en ökad andel hyresrätter. Befolkningsutvecklingen ser även olika ut över tid då färre är arbetslösa, har socialbidrag eller studiebidrag, och fler är födda i Sverige, inom områden med nyproduktion. Den sociala blandningen som eftersträvas kan kopplas till blandade upplåtelseformer, men detta sker på olika skalor och kontext och förutsättningar är avgörande. / SPaDE blandade upplåtelseformer social blandning boendesegregation nyproduktion bostäder SAMS SPaDE
2	Trois figures de détective à Hollywood : Sam Spade, Nick Charles et Dashiell Hammett - les enjeux du genre dans la construction du personnage / Three detective characters in Hollywood : Sam Spade, Nick Charles and Dashiell Hammett - film genre at stake Ananian, Francine 19 January 2018 (has links) Le Faucon maltais et L’Introuvable de Dashiell Hammett ont été portés avec succès au cinéma, faisant apparaître le personnage typiquement américain du détective privé avec les figures de Sam Spade et de Nick Charles.La dernière incarnation de Sam Spade, sous les traits de Humphrey Bogart dans le film de John Huston, en 1941, demeure l’une des figures les plus célèbres du film noir. Nick Charles, sous les traits de William Powell dans le film de Woody S. Van Dyke, en 1934, fut si populaire que l’acteur et le personnage, échappant à son auteur, furent exploités dans une suite de cinq films. Pourquoi le public français ne connaît-il guère que les premiers (personnage et acteur) et méconnaît-il les seconds ?Quelle place dans cette concurrence tient la figure de Dashiell Hammett, détective puis écrivain, devenu un personnage d’écrivain-détective dans Hammett, un film de Wim Wenders en 1982 ?L’examen de toutes les adaptations des romans de l’auteur, de 1931 à 1942, permet de comparer les diverses représentations de ses figures littéraires d’enquêteur. Celui des cinq films qui, de 1934 à 1947, ont repris le personnage de Nick Charles, montre la difficulté à conserver une cohérence au personnage.L’observation du changement du goût du public, de la Grande Dépression à l’après-Seconde Guerre Mondiale, et celle de l’évolution de la carrière d’Humphrey Bogart et de William Powell, permet de comprendre pourquoi le public français, si attaché à la notion de film noir, n’a retenu que le premier. Enfin, la constatation de l’intérêt éditorial, renouvelé en France au début du vingt-et-unième siècle, pour toute l’œuvre et la vie de Dashiell Hammett, conduit à considérer, temporairement peut-être, la figure de l’auteur comme un mythe moderne. / The Maltese Falcon and The Thin Man by Dashiell Hammett, adapted successfully to the screen, revealed the typically American character of the private detective, with Sam Spade and Nick Charles.The last incarnation of Sam Spade by Humphrey Bogart in 1941 John Huston’s movie remains one of the most famous film noir figures. Nick Charles, with William Powell in Woody S. Van Dyke’s film in 1934, was so popular that both the character, escaping his creator, and the actor were reused in a succession of five films, until 1947.Why does the contemporary French public only know the first (character and actor) and why does it almost ignore the second ?Between them, what place does Dashiell Hammett hold, detective then writer, who became a character of detective writer in Hollywood Wim Wenders’s movie Hammett in 1982 ?The study of all Dashiell Hammett novels adaptations, from 1931 to 1942, enables to compare the various representations of his investigator characters. The study of the five movies reusing Nick Charles character allows to follow its lack of coherence.The observation of the change of the public taste, from the Great Depression until the post- Second World War years and the examination of the cinematographic careers of the two actors, explain the Bogart’s fame in France.Eventually, the French editorial revival of Dashiell Hammett at the beginning of the 21st century makes it possible to consider the author figure as a new myth. Nick Charles Sam Spade Dashiell Hammett Détective Adaptation Genre Nick Charles Sam Spade Dashiell Hammett Private detective Adaptation Genre
3	Web Usage Mining And Recommendation With Semantic Information Salin, Suleyman 01 March 2009 (has links) (PDF) Web usage mining has become popular in various business areas related with Web site development. In Web usage mining, the commonly visited navigational paths are extracted in terms of Web page addresses from the Web server visit logs, and the patterns are used in various applications. The semantic information of the Web page contents is generally not included in Web usage mining. In this thesis, a framework for integrating semantic information with Web usage mining is implemented. The frequent navigational patterns are extracted in the forms of ontology instances instead of Web page addresses and the result is used for making page recommendations to the visitor. Moreover, an evaluation mechanism is implemented to find the success of the recommendation. Test results proved that stronger and more accurate recommendations are obtained by including semantic information in the Web usage mining instead of using on visited Web page addresses. QA General Works 36-39
4	Restaurace signálu s omezenou okamžitou hodnotou pro vícekanálový audio signál / Restoration of signals with limited instantaneous value for the multichannel audio signal Hájek, Vojtěch January 2019 (has links) This master’s thesis deals with the restoration of clipped multichannel audio signals based on sparse representations. First, a general theory of clipping and theory of sparse representations of audio signals is described. A short overview of existing restoration methods is part of this thesis as well. Subsequently, two declipping algorithms are introduced and are also implemented in the Matlab environment as a part of the thesis. The first one, SPADE, is considered a state- of-the-art method for mono audio signals declipping and the second one, CASCADE, which is derived from SPADE, is designed for the restoration of multichannel signals. In the last part of the thesis, both algorithms are tested and the results are compared using the objective measures SDR and PEAQ, and also using the subjective listening test MUSHRA.
5	Wordlength inference in the Spade HDL : Seven implementations of wordlength inference and one implementation that actually works / Ordlängdsinferans i Spade HDL : Sju olika implementationer av ordlängdsinferens och en implementation som faktiskt fungerar Thörnros, Edvard January 2023 (has links) Compilers, complex programs with the potential to greatly facilitate software and hardware design. This thesis focuses on enhancing the Spade hardware description language, known for its user-friendly approach to hardware design. In the realm of hardware development data size - for numerical values data size is known as "wordlength" - plays a critical role for reducing the hardware resources. This study presents an innovative approach that seamlessly integrates wordlength inference directly into the Spade language, enabling the over-estimation of numeric data sizes solely from the program's source code. The methodology involves iterative development, incorporating various smaller implementations and evaluations, reminiscent of an agile approach. To assess the efficacy of the wordlength inference, multiple place and route operations are performed on identical Spade code using various versions of nextpnr. Surprisingly, no discernible impact on hardware resource utilization emerges from the modifications introduced in this thesis. Nonetheless, the true significance of this endeavor lies in its potential to unlock more advanced language features within the Spade compiler. It is important to note that while the wordlength inference proposed in this thesis shows promise, it necessitates further integration efforts to realize its full potential. FPGA spade wordlength inference word length word-length compiler hdl hardware description language LUT lookup tables resource usage compiler FPGA spade ordlängdsinferens kompilator hdl ordlängd Computer Engineering Datorteknik Embedded Systems Inbäddad systemteknik
6	Narrow Pretraining of Deep Neural Networks : Exploring Autoencoder Pretraining for Anomaly Detection on Limited Datasets in Non-Natural Image Domains Eriksson, Matilda, Johansson, Astrid January 2022 (has links) Anomaly detection is the process of detecting samples in a dataset that are atypical or abnormal. Anomaly detection can for example be of great use in an industrial setting, where faults in the manufactured products need to be detected at an early stage. In this setting, the available image data might be from different non-natural domains, such as the depth domain. However, the amount of data available is often limited in these domains. This thesis aims to investigate if a convolutional neural network (CNN) can be trained to perform anomaly detection well on limited datasets in non-natural image domains. The attempted approach is to train the CNN as an autoencoder, in which the CNN is the encoder network. The encoder is then extracted and used as a feature extractor for the anomaly detection task, which is performed using Semantic Pyramid Anomaly Detection (SPADE). The results are then evaluated and analyzed. Two autoencoder models were used in this approach. As the encoder network, one of the models uses a MobileNetV3-Small network that had been pretrained on ImageNet, while the other uses a more basic network, which is a few layers deep and initialized with random weights. Both these networks were trained as regular convolutional autoencoders, as well as variational autoencoders. The results were compared to a MobileNetV3-Small network that had been pretrained on ImageNet, but had not been trained as an autoencoder. The models were tested on six different datasets, all of which contained images from the depth and intensity domains. Three of these datasets additionally contained images from the scatter domain, and for these datasets, the combination of all three domains was tested as well. The main focus was however on the performance in the depth domain. The results show that there is generally an improvement when training the more complex autoencoder on the depth domain. Furthermore, the basic network generally obtains an equivalent result to the more complex network, suggesting that complexity is not necessarily an advantage for this approach. Looking at the different domains, there is no apparent pattern to which domain yields the best performance. This rather seems to depend on the dataset. Lastly, it was found that training the networks as variational autoencoders did generally not improve the performance in the depth domain compared to the regular autoencoders. In summary, an improved anomaly detection was obtained in the depth domain, but for optimal anomaly detection with regard to domain and network, one must look at the individual datasets. / <p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p> CNN convolutional neural network autoencoder variational autoencoder anomaly detection SPADE limited dataset non-natural image domain depth domain scatter domain intensity domain machine learning Media and Communication Technology Medieteknik
7	Two Fundamental Building Blocks to Provide Quick Reaction Capabilities for the Department of Defense Uppenkamp, Daniel Alan 26 July 2013 (has links) No description available. Computer Science Remote Sensing Systems Design agile AngelFire Department of Defense DoD modular open source Pursuer Quick Reaction Capabilities QRC Scrum software development SPADE Wide Area Motion Imagery WAMI
8	To Make Iron of Iron : A Comprehensive Analytical Study of Spade Shaped Iron Bars Pappas Adlerburg, Nickolas T. January 2017 (has links) This thesis aims to provide adequate analytical information on the spade shaped iron bars of Norrland and central Sweden. While their significance has been thoroughly debated for decades, analytical research on them has been confined to cases of single artefacts or theoretical interpretations of their value, meaning and origin. In this study a comprehensive approach is taken into consideration. Based on X-Ray fluorescence (XRF), scanning electron microscopy (SEM) and metallographical analysis this thesis seeks to facilitate new interpretations on quality, production centres and usage based on analytical results. Aiming to settle some of the long lasting questions regarding the artefacts while producing results which can further the discussion by raising new questions, previously unasked. Archaeological Science Scandinavian Iron Age Nordic Iron Age Spade Shaped Iron Bars Norrland Iron Bars Archaeometallurgy XRF SEM/EDS Metallography Vendel Era Migration Period Roman Iron Age Nickel Cobalt Limonite Iron Ores Helgö Uppland Gästrikland Medelpad Hälsingland Jämtland Laborativ arkeologi Nordisk järnålder Spadformiga ämnesjärn Norrland Ämnesjärn Arkeometallurgi XRF SEM/EDS Metallografi Vendeltid Folkvandringstid Romersk Järnålder Helgö Nickel Cobalt Myrmalm Bergmalm Uppland Gästrikland Medelpad Hälsingland Jämtland Archaeology Arkeologi
9	To Make Iron of Iron : A Comprehensive Analytical Study of Spade Shaped Iron Bars Pappas Adlreburg, Nickolas January 2017 (has links) This thesis aims to provide adequate analytical information on the spade shaped iron bars of Norrland and central Sweden. While their significance has been thoroughly debated for decades, analytical research on them has been confined to cases of single artefacts or theoretical interpretations of their value, meaning and origin. In this study a comprehensive approach is taken into consideration. Based on X-Ray fluorescence (XRF), scanning electron microscopy (SEM) and metallographical analysis this thesis seeks to facilitate new interpretations on quality, production centres and usage based on analytical results. Aiming to settle some of the long lasting questions regarding the artefacts while producing results which can further the discussion by raising new questions, previously unasked. Archaeological Science Archaeometallurgy Spade Shaped Iron Bars X-Ray Fluorescence (XRF) Scanning Electron Microscopy (SEM) Metallography Swedish Archaeology Archaeology in Norrland Scandinavian Iron Age Nordic Iron Age Roman Iron Age Migration Period Vendel Period Prehistoric Metallurgy Slag Iron Bar Currency Bar Bloomery Bloom Iron Bog Iron Limonite Mineral Iron Ores Hematite Magnetite Phosphoric Iron/Steel Prehistoric Steel Ferrite Pearlite Nickel Cobalt Phosphorus Arsenic Magnesium Sulfur Manganese Norrland Middle Norrland Uppland Gästrikland Hälsingland Medelpad Jämtland Södermanland Helgö Torsåker Gåcksätter Alborga Offerdal Selånger Villberga Arbrå Laborativ Arkeologi Arkeometallurgi Spadformiga Ämnesjärn Röntgenfluorescens (XRF) Svepelektronmikroskop (SEM) Metallografi Svensk Arkeologi Norrländsk Arkeologi Förnnordisk Arkeologi Skandinavisk Järnålder Nordisk Järnålder Fornnordisk Järnålder Romersk Järnålder Folkvandringstiden Vendeltiden Forhistorisk Metallurgi Slaget Ämnesjärn Blästerugn Blästa Myrmalm Sjömalm Limonit Bergmalm Hematit Magnetit Fosforisk Järn/Stål Förhistorisk Stål Ferrit Pearlit Nickel Kobolt Fosfor Arsen Magnesium Svavel Mangan Norrland Mellannorrland Uppland Gästrikland Hälsingland Medelpad Jämtland Södermanland Helgö Torsåker Gåcksätter Alborga Offerdal Selånger Villberga Arbrå Archaeology Arkeologi

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