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Ahrneteg, Jakob, e Dean Kulenovic. "Semantic Segmentation of Historical Document Images Using Recurrent Neural Networks". Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18219.
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Background. This thesis focuses on the task of historical document semantic segmentation with recurrent neural networks. Document semantic segmentation involves the segmentation of a page into different meaningful regions and is an important prerequisite step of automated document analysis and digitisation with optical character recognition. At the time of writing, convolutional neural network based solutions are the state-of-the-art for analyzing document images while the use of recurrent neural networks in document semantic segmentation has not yet been studied. Considering the nature of a recurrent neural network and the recent success of recurrent neural networks in document image binarization, it should be possible to employ a recurrent neural network for document semantic segmentation and further achieve high performance results. Objectives. The main objective of this thesis is to investigate if recurrent neural networks are a viable alternative to convolutional neural networks in document semantic segmentation. By using a combination of a convolutional neural network and a recurrent neural network, another objective is also to determine if the performance of the combination can improve upon the existing case of only using the recurrent neural network. Methods. To investigate the impact of recurrent neural networks in document semantic segmentation, three different recurrent neural network architectures are implemented and trained while their performance are further evaluated with Intersection over Union. Afterwards their segmentation result are compared to a convolutional neural network. By performing pre-processing on training images and multi-class labeling, prediction images are ultimately produced by the employed models. Results. The results from the gathered performance data shows a 2.7% performance difference between the best recurrent neural network model and the convolutional neural network. Notably, it can be observed that this recurrent neural network model has a more consistent performance than the convolutional neural network but comparable performance results overall. For the other recurrent neural network architectures lower performance results are observed which is connected to the complexity of these models. Furthermore, by analyzing the performance results of a model using a combination of a convolutional neural network and a recurrent neural network, it can be noticed that the combination performs significantly better with a 4.9% performance increase compared to the case with only using the recurrent neural network. Conclusions. This thesis concludes that recurrent neural networks are likely a viable alternative to convolutional neural networks in document semantic segmentation but that further investigation is required. Furthermore, by combining a convolutional neural network with a recurrent neural network it is concluded that the performance of a recurrent neural network model is significantly increased.Bakgrund. Detta arbete handlar om semantisk segmentering av historiska dokument med recurrent neural network. Semantisk segmentering av dokument inbegriper att dela in ett dokument i olika regioner, något som är viktigt för att i efterhand kunna utföra automatisk dokument analys och digitalisering med optisk teckenläsning. Vidare är convolutional neural network det främsta alternativet för bearbetning av dokument bilder medan recurrent neural network aldrig har använts för semantisk segmentering av dokument. Detta är intressant eftersom om vi tar hänsyn till hur ett recurrent neural network fungerar och att recurrent neural network har uppnått mycket bra resultat inom binär bearbetning av dokument, borde det likväl vara möjligt att använda ett recurrent neural network för semantisk segmentering av dokument och även här uppnå bra resultat. Syfte. Syftet med arbetet är att undersöka om ett recurrent neural network kan uppnå ett likvärdigt resultat jämfört med ett convolutional neural network för semantisk segmentering av dokument. Vidare är syftet även att undersöka om en kombination av ett convolutional neural network och ett recurrent neural network kan ge ett bättre resultat än att bara endast använda ett recurrent neural network. Metod. För att kunna avgöra om ett recurrent neural network är ett lämpligt alternativ för semantisk segmentering av dokument utvärderas prestanda resultatet för tre olika modeller av recurrent neural network. Därefter jämförs dessa resultat med prestanda resultatet för ett convolutional neural network. Vidare utförs förbehandling av bilder och multi klassificering för att modellerna i slutändan ska kunna producera mätbara resultat av uppskattnings bilder. Resultat. Genom att utvärdera prestanda resultaten för modellerna kan vi i en jämförelse med den bästa modellen och ett convolutional neural network uppmäta en prestanda skillnad på 2.7%. Noterbart i det här fallet är att den bästa modellen uppvisar en jämnare fördelning av prestanda. För de två modellerna som uppvisade en lägre prestanda kan slutsatsen dras att deras utfall beror på en lägre modell komplexitet. Vidare vid en jämförelse av dessa två modeller, där den ena har en kombination av ett convolutional neural network och ett recurrent neural network medan den andra endast har ett recurrent neural network uppmäts en prestanda skillnad på 4.9%. Slutsatser. Resultatet antyder att ett recurrent neural network förmodligen är ett lämpligt alternativ till ett convolutional neural network för semantisk segmentering av dokument. Vidare dras slutsatsen att en kombination av de båda varianterna bidrar till ett bättre prestanda resultat.
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Pister, Alexis. "Visual Analytics for Historical Social Networks : Traceability, Exploration, and Analysis". Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG081.
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Cette thèse vise à identifier théoriquement et concrètement comment l'analyse visuelle peut aider les historiens dans leur processus d'analyse de réseaux sociaux. L'analyse de réseaux sociaux est une méthode utilisée en histoire sociale qui vise à étudier les relations sociales au sein de groupes d'acteurs (familles, institutions, entreprises, etc.) en reconstruisant les relations du passé à partir de documents historiques, tels que des actes de mariages, des actes de naissances, ou des recensements. L'utilisation de méthodes visuelles et analytiques leurs permet d'explorer la structure sociale formant ces groupes et de relier des mesures structurelles à des hypothèses sociologiques et des comportements individuels. Cependant, l'inspection, l'encodage et la modélisation des sources menant à un réseau finalisé donnent souvent lieu à des erreurs, des distorsions et des problèmes de traçabilité, et les systèmes de visualisation actuels présentent souvent des défauts d'utilisabilité et d'interprétabilité. En conséquence, les historiens ne sont pas toujours en mesure de faire des conclusions approfondies à partir de ces systèmes : beaucoup d'études se limitent à une description qualitative d'images de réseaux, surlignant la présence de motifs d'intérêts (cliques, îlots, ponts, etc.). Le but de cette thèse est donc de proposer des outils d'analyse visuelle adaptés aux historiens afin de leur permettre une meilleur intégration de leur processus global et des capacités d'analyse guidées. En collaboration avec des historiens, je formalise le processus d'une analyse de réseau historique, de l'acquisition des sources jusqu'à l'analyse finale, en posant comme critère que les outils utilisés dans ce processus devraient satisfaire des principes de traçabilité, de simplicité et de réalité documentaire (i.e., que les données présentées doivent être conformes aux sources) pour faciliter les va-et-vient entre les différentes étapes et la prise en main par l'utilisateur et ne pas distordre le contenu des sources. Pour satisfaire ces propriétés, je propose de modéliser les sources historiques en réseaux sociaux bipartis multivariés dynamiques avec rôles. Ce modèle intègre explicitement les documents historiques sous forme de nœuds, ce qui permet aux utilisateurs d'encoder, de corriger et d'analyser leurs données avec les mêmes outils. Je propose ensuite deux interfaces d'analyse visuelle permettant, avec une bonne utilisabilité et interprétabilité, de manipuler, d'explorer et d'analyser ce modèle de données. Le premier système ComBiNet offre une exploration visuelle de l'ensemble des dimensions du réseau à l'aide de vues coordonnées et d'un système de requêtes visuelles permettant d'isoler des individus ou des groupes et de comparer leurs structures topologiques et leurs propriétés. L'outil permet également de détecter les motifs inhabituels et ainsi de déceler les éventuelles erreurs dans les annotations. Le second système, PK-Clustering, est une proposition d'amélioration de l'utilisabilité et de l'efficacité des mécanismes de clustering dans les systèmes de visualisation de réseaux sociaux. L'interface permet de créer des regroupements pertinents à partir des connaissances a priori de l'utilisateur, du consensus algorithmique et de l'exploration du réseau dans un cadre d'initiative mixte. Les deux systèmes ont été conçus à partir des besoins et retours continus d'historiens, et visent à augmenter la traçabilité, la simplicité, et la réalité documentaire des sources dans le processus d'analyse de réseaux historiques. Je conclus sur la nécessité d'une meilleure intégration des systèmes d'analyse visuelle dans le processus de recherche des historiens. Cette intégration nécessite des outils plaçant les utilisateurs au centre du processus avec un accent sur la flexibilité et l'utilisabilité, limitant ainsi l'introduction de biais et les barrières d'utilisation des méthodes quantitatives, qui subsistent en histoireThis thesis aims at identifying theoretically and concretely how visual analytics can support historians in their social network analysis process. Historical social network analysis is a method to study social relationships between groups of actors (families, institutions, companies, etc.) through a reconstruction of relationships of the past from historical documents, such as marriage acts, migration forms, birth certificates, and censuses. The use of visualization and analytical methods lets social historians explore and describe the social structure shaping those groups while explaining sociological phenomena and individual behaviors through computed network measures. However, the inspection and encoding of the sources leading to a finalized network is intricate and often results in inconsistencies, errors, distortions, and traceability problems, and current visualization tools typically have usability and interpretability issues. For these reasons, social historians are not always able to make thorough historical conclusions: many studies consist of qualitative descriptions of network drawings highlighting the presence of motifs such as cliques, components, bridges, etc. The goal of this thesis is therefore to propose visual analytics tools integrated into the global social historians' workflow, with guided and easy-to-use analysis capabilities. From collaborations with historians, I formalize the workflow of historical network analysis starting at the acquisition of sources to the final visual analysis. By highlighting recurring pitfalls, I point out that tools supporting this process should satisfy traceability, simplicity, and document reality principles to ease bask and forth between the different steps, provide tools easy to manipulate, and not distort the content of sources with modifications and simplifications. To satisfy those properties, I propose to model historical sources into bipartite multivariate dynamic social networks with roles as they provide a good tradeoff of simplicity and expressiveness while modeling explicitly the documents, hence letting users encode, correct, and analyze their data with the same abstraction and tools. I then propose two interactive visual interfaces to manipulate, explore, and analyze this data model, with a focus on usability and interpretability. The first system ComBiNet allows an interactive exploration leveraging the structure, time, localization, and attributes of the data model with the help of coordinated views and a visual query system allowing users to isolate interesting groups and individuals, and compare their position, structures, and properties. It also lets them highlight erroneous and inconsistent annotations directly in the interface. The second system, PK-Clustering, is a concrete proposition to enhance the usability and effectiveness of clustering mechanisms in social network visual analytics systems. It consists in a mixed-initiative clustering interface that let social scientists create meaningful clusters with the help of their prior knowledge, algorithmic consensus, and interactive exploration of the network. Both systems have been designed with continuous feedback from social historians, and aim to increase the traceability, simplicity, and document reality of visual analytics supported historical social network research. I conclude with discussions on the potential merging of both tools, and more globally on research directions towards better integration of visual analytics systems on the whole workflow of social historians. Systems with a focus on those properties---traceability, simplicity, and document reality---can limit the introduction of bias while lowering the requirements for the use of quantitative methods for historians and social scientists which has always been a controversial discussion among practitioners
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Banavas, Georgios Nikolaos. "Prognosis : historical pattern matching for economic forecasting and trading". Thesis, University of Plymouth, 2000. http://hdl.handle.net/10026.1/1642.
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In recent years financial markets have become complex environments that continuously change and they change quickly. The strong link between the continuous change in the markets and the danger of losing money when trading in them, has made financial studies a domain that concentrates increasing scientific and business attention. In this context, the development of computational techniques that can monitor recent financial events can process them according to their similarity with historical data recordings, and can support financial decision making, is a challenging problem. In this work, the principal idea for tackling this problem is the integration of 'current' market information as derived from the market's recent past and historical information. A robust technique which is based on flexible pattern matching, segmented data representations, time warping, and time series embedding dimension measures is proposed. Complementary time series derived features, concerning trend structures, temporal considerations and statistical measures are systematically combined in this technique. All these components have been integrated into a software package, which I called PROGNOSIS, that can selectively monitor its application and allows systematic evaluation in terms of financial forecasting and trading performance. In addition, two other topics are discussed in this thesis. Firstly, in chapter 3, a neural network, that is known as the Growing Neural Gas network, is employed for financial forecasting and trading. To my knowledge, this network has never been applied before to financial problems. Based on this a neural network forecasting and trading benchmark was constructed for comparison purposes. Secondly, a novel method of approaching the well established co-integraton theory is proposed in the last chapter of the thesis. This method enhances the co-integration theory by integrating into it local time relations between two time series. These local time dependencies are identified using dynamic time warping. The hypothesis that is tested is that local time shifts, delays, shrinks or stretches, if identified, may help to reveal co-integrating movement between the two time series. I called this type of co-integration time-warped co-integration. To this end, the time-warped co-integration framework is presented as an error correction model and it is tested on arbitrage trading opportunities within PROGNOSIS.
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Bjarnle, Johan, e Elias Holmström. "Implementation and Evaluation of Historical Consistent Neural Networks Using Parallel Computing". Thesis, Linköpings universitet, Medie- och Informationsteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119983.
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Forecasting the stock market is well-known to be a very complex and difficult task, and even by many considered to be impossible. The new model, emph{Historical Consistent Neural Networks} (HCNN), has recently been successfully applied for prediction and risk estimation on the energy markets. HCNN is developed by Dr. Hans Georg Zimmermann, Siemens AG, Corporate Technology Dpt., Munich, and implemented in the SENN (Simulation Environment for Neural Network) package, distributed by Siemens. The evalution is made by tests on a large database of historical price data for global indicies, currencies, commodities and interest rates. Tests have been done, using the Linux version of the SENN package, provided by Dr. Zimmermann and his research team. This thesis takes on the task given by Eturn Fonder AB, to develop a sound basis for evaluating and using HCNN, in a fast and easy manner. An important part of our work has been to develop a rapid and improved implementation of HCNN, as an interactive software package. Our approach has been to take advantage of the parallelization capabilities of the graphics card, using the CUDA library together with an intuitive and flexible interface for HCNN built in MATLAB. We can show that the computational power of our CUDA implementation (using a cheap graphics device), compared to SENN, is about 33 times faster. With our new optimized implementation of HCNN, we have been able to test the model on large data sets, consisting of multidimensional financial time series. We present the results with respect to some common statistical measures, evaluates the prediction qualities and performance of HCNN, and give our analysis of how to move forward and do further testing.
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Bremberg, Ulrika, Liv Cederin, Gabriel Lindgren e Filip Pagliaro. "Classifying Age and Gender on Historical Photographs using Convolutional Neural Networks". Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445914.
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This project intends to classify faces in historical photographs into age and gender. The goal was to demonstrate an algorithm specialized on classifying historical images, as well as an interface where users can insert pictures for analysis. This project aims to facilitate historical research by contributing with new tools for image analysis. The algorithm is developed in the programming language Python and uses Convolution Neural Networks (CNN) to classify age and gender. The user interface is developed in the JavaScript framework React.js and communicates with the Python algorithm via a Node.js server. The main results are that the gender classification algorithm has an accuracy of 96\% and the age detection algorithm has a mean age error of 4.3 years. The results also indicated that our algorithms perform better on historical images than commonly used state-of-the-art classification models.Detta projekt ämnar att klassificera kön och ålder i historiska fotografier. Målet var att demonstrera en algoritm som är specialinriktad på historiska bilder, samt ett gränssnitt där användare kan ladda upp bilder och få dem klassificerade. Projektet syftar till att underlätta historisk forskning genom att bidra med nya verktyg för bildanalys. Algoritmen är utvecklad i programmeringsspråket Python och använder Convolutional Neural Networks (CNN) för att klassificera kön och ålder. Användargränsnittet är utvecklat i JavaScript ramverket React.js och kommunicerar med Python algoritmen via en Node.js server. De huvudsakliga resultaten är att noggrannheten för klassificeringsalgoritmen för kön ligger på 96\%, medan klassificeringsalgoritmen för ålder har ett medelfel på 4.3 år. Resultaten indikerar även att våra algoritmer presterar bättre på historiska bilder än redan befintliga välkända klassificeringsmodeller.
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Stewart, Seth Andrew. "Fully Convolutional Neural Networks for Pixel Classification in Historical Document Images". BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7064.
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We use a Fully Convolutional Neural Network (FCNN) to classify pixels in historical document images, enabling the extraction of high-quality, pixel-precise and semantically consistent layers of masked content. We also analyze a dataset of hand-labeled historical form images of unprecedented detail and complexity. The semantic categories we consider in this new dataset include handwriting, machine-printed text, dotted and solid lines, and stamps. Segmentation of document images into distinct layers allows handwriting, machine print, and other content to be processed and recognized discriminatively, and therefore more intelligently than might be possible with content-unaware methods. We show that an efficient FCNN with relatively few parameters can accurately segment documents having similar textural content when trained on a single representative pixel-labeled document image, even when layouts differ significantly. In contrast to the overwhelming majority of existing semantic segmentation approaches, we allow multiple labels to be predicted per pixel location, which allows for direct prediction and reconstruction of overlapped content. We perform an analysis of prevalent pixel-wise performance measures, and show that several popular performance measures can be manipulated adversarially, yielding arbitrarily high measures based on the type of bias used to generate the ground-truth. We propose a solution to the gaming problem by comparing absolute performance to an estimated human level of performance. We also present results on a recent international competition requiring the automatic annotation of billions of pixels, in which our method took first place.
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Downey, Sean S. "Resilient Networks and and the Historical Ecology of Q'eqchi' Maya Swidden Agriculture". Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/195686.
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Despite the fact that swidden agriculture has been the subject of decades of research, questions remain about the extent to which it is constrained by demographic growth and if it can adapt to environmental limits. In this dissertation I analyze ethnographic and ethnohistorical evidence from the Toledo District, Belize, and suggest that Q'eqchi' Maya swidden agriculture may be more ecologically adaptive than previously thought. I use social network analysis to examine farmer labor exchange networks from a chronosequence of five villages where swidden is used. Results suggest that changes in land-use patterns, network structure, and reciprocity rates may increase the system's resilience to changes in the forest's agricultural productivity. I develop a novel interpretation of labor reciprocity that highlights how unreciprocated exchanges, when they occur within the context of a social network, may limit overexploitation of a common property resource. These results are then interpreted in the context of panarchy theory; I suggest that the structural variability observed in labor exchange networks may explain how Q'eqchi' swidden maintains its identity under changing environmental conditions - a definition of resilience. Thus, the resulting picture of Q'eqchi' swidden is one of socioecological resilience rather than homeostasis; dynamic labor exchange networks help maintain a village's social cohesion, ultimately limiting pioneer settlements and slowing overall rates of deforestation. A historical and demographic analysis of market incursions into southern Belize supports this conclusion.
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Metcalfe, Stuart. "International business networks in historical perspective : the case of the Borneo Company Limited". Thesis, London South Bank University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264864.
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Sukthomya, Wimalin. "Manufacturing process improvement using design of experiments and neural networks with historical data". Thesis, University of Nottingham, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403997.
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Adams, Ashley Adams. "Examining the Cultural and Historical Impact of the National Historic Site Designation in Nicodemus, Kansas". ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2708.
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America's National Historic Preservation Act promotes the conservation of irreplaceable sites such as Nicodemus, Kansas, an African American town founded by former slaves in 1877. The collaboration of the National Park Service (NPS) and civic partners is essential to meet the goal of preserving historic properties in Nicodemus and other minority communities. Although the NPS designated 5 Nicodemus buildings as a National Historic Site (NHS) in 1996, the few remaining residents struggle to preserve the site and attract visitors. The purpose of this ethnographic study was to explore the effects of NPS policies related to African American historic and cultural preservation. Research questions focused on the consequences of the NHS designation in Nicodemus and options for NPS policy improvement. This study was inspired by Innes and Booher's theory of complex adaptive systems and consensus building. Data were collected through interviews with 11 residents, educators, and representatives of the NPS. These data were inductively coded and then subjected to thematic analysis. Key findings indicate concerns about limited resources, NPS open competition hiring policies that do not promote the long-term employment of Nicodemus descendant-residents in spite of their ability to recount oral histories, a need for cross-cultural training in the NPS, and the inadequate promotion of the Nicodemus NHS. This study may lead to positive social change by emphasizing the need for the NPS to collaborate with the descendants and long-term residents of rural communities to preserve the historical legacy of African Americans and emphasize the strength of our nation's diversity.
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Schmidt, Kenneth William. "Design and implementation of a historical database for the Blacksburg Electronic Village". Master's thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-12162009-020111/.
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Renfei, Han. "Using Attention-based Sequence-to-Sequence Neural Networks for Transcription of Historical Cipher Documents". Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420322.
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Encrypted historical manuscripts (also called ciphers), containing encoded information, provides a useful resource for giving new insight into our history. Transcribing these manuscripts from image format to computer readable format is a necessary step for decrypting them. In this thesis project, we explore automatic approaches of Hand Written Text Recognition (HTR) for cipher image transcription line by line.In this thesis project, We applied an attention-based Sequence-to-Sequence (Seq2Seq) model for the automatic transcription of ciphers with three different writing systems. We tested/developed algorithms for the recognition of cipher symbols, and their location. To evaluate our method on different levels, the model is trained and tested on ciphers with various symbol sets, from digits to graphical signs. To find out the useful approaches for improving the transcription performance, we conducted ablation study regarding attention mechanism and other deep learning tricks. The results show an accuracy lower than 50% and indicate a big room for improvements and plenty of future work.
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Kišš, Martin. "Rozpoznávání historických textů pomocí hlubokých neuronových sítí". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385912.
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The aim of this work is to create a tool for automatic transcription of historical documents. The work is mainly focused on the recognition of texts from the period of modern times written using font Fraktur. The problem is solved with a newly designed recurrent convolutional neural networks and a Spatial Transformer Network. Part of the solution is also an implemented generator of artificial historical texts. Using this generator, an artificial data set is created on which the convolutional neural network for line recognition is trained. This network is then tested on real historical lines of text on which the network achieves up to 89.0 % of character accuracy. The contribution of this work is primarily the newly designed neural network for text line recognition and the implemented artificial text generator, with which it is possible to train the neural network to recognize real historical lines of text.
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Ai, Chunyu. "Energy-Efficient Data Management in Wireless Sensor Networks". Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/cs_diss/55.
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Wireless Sensor Networks (WSNs) are deployed widely for various applications. A variety of useful data are generated by these deployments. Since WSNs have limited resources and unreliable communication links, traditional data management techniques are not suitable. Therefore, designing effective data management techniques for WSNs becomes important. In this dissertation, we address three key issues of data management in WSNs. For data collection, a scheme of making some nodes sleep and estimating their values according to the other active nodes’ readings has been proved energy-efficient. For the purpose of improving the precision of estimation, we propose two powerful estimation models, Data Estimation using a Physical Model (DEPM) and Data Estimation using a Statistical Model (DESM). Most of existing data processing approaches of WSNs are real-time. However, historical data of WSNs are also significant for various applications. No previous study has specifically addressed distributed historical data query processing. We propose an Index based Historical Data Query Processing scheme which stores historical data locally and processes queries energy-efficiently by using a distributed index tree. Area query processing is significant for various applications of WSNs. No previous study has specifically addressed this issue. We propose an energy-efficient in-network area query processing scheme. In our scheme, we use an intelligent method (Grid lists) to describe an area, thus reducing the communication cost and dropping useless data as early as possible. With a thorough simulation study, it is shown that our schemes are effective and energy- efficient. Based on the area query processing algorithm, an Intelligent Monitoring System is designed to detect various events and provide real-time and accurate information for escaping, rescuing, and evacuation when a dangerous event happened.
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Duarte, Gonçalo Filipe Fernandes. "Ghost of diadromous fish past: streamlining research on diadromous fish species using historical data at european scale". Doctoral thesis, ISA/UL, 2019. http://hdl.handle.net/10400.5/18329.
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Doutoramento em Restauro e Gestão Fluviais - Instituto Superior de Agronomia / Faculdade de Arquitetura / Instituto Superior TécnicoThe decline of diadromous fish species has been occurring at least since the beginning of the 20th century. In this thesis, multiple European databases on the historical distribution of diadromous fish were consulted and, acknowledging the lack of data for Portugal, the first database of Portuguese historical data for freshwater fish was created. The existence of multiple databases with distinct geographical coverage and data at different spatial scales lead to the development of an historical data framework able to deal with the limitations of historical data. Its output is a reliable and geographically broad dataset of diadromous species occurrence at the beginning of the 20th century at three spatial scales: basin, sub-basin and segment. Also, a software was developed to facilitate the acquisition of environmental and riverscape variables that can be linked with the data at the three scales. Longitudinal connectivity impairment, climate change and land use alterations are some of the most significant threats to diadromous fish species. The influence of these threats was studied performing a spatial and temporal analysis of the longitudinal connectivity impairment by large dams and, modelling the distribution of diadromous fish at the beginning of the 20th century using climate and land use variables. The longitudinal connectivity impairment of the European freshwater networks became widespread in the second half of the 20th century, and is currently more impactful for populations from basins in southern Europe. The distribution of diadromous fish species is mainly affected by climate, though the effects of land use close to river mouths may be relevant since these are critical passage and entry points for the remaining network. The framework and the software developed were key to achieve the scientific knowledge presented, and more importantly, these can be established as the structural basis for future research on diadromous fish species
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Norberg, Markus, e Johanna Petersson. "Artificial Value-at-Risk : Using Neural Networks to Replicate Filtered Historical Simulation for Value-at-Risk Calculations". Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185054.
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Since financial markets are considered risky, there is a need to have credible tools that can estimate these risks. For a Central Clearing Counterparty it is of utmost importance to conduct accurate estimations of its members’ risk exposures to deter-mine their margin requirements. We have together with the Nasdaq Risk Analytics Engineering team, which provides systems for clearing risk managers, initiated this project to investigate how Artificial Intelligence can be implemented to support daily risk calculations made today. We have focused on Neural Networks because of their ability to effectively process data, which is an important foundation for making risk predictions. We have constructed and trained three different Neural Networks, a Fully Connected Feedforward, a Convolutional, and a Gated Recurrent Unit Neural Network, with the aim to replicate the Value-at-Risk calculations made using the conventional method Filtered Historical Simulation. We have mainly evaluated the networks’ ability to replicate these computations, but also examined their computational time. We have seen that all networks have a good ability to learn and replicate Filtered Historical Simulation. In addition, the networks are much faster. However, we have encountered issues with the scale of the data, namely to learn large shifts in the size of Value-at-Risk. We have seen that the Convolutional net-work is significantly better than the other two at dealing with this issue. We are yet convinced, given the networks’ ability to replicate conventional risk computations and their short execution time, that there are potentials for supporting the process of risk management as of today.
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Vishnevetsky, Michael. "A socio-historical study into the emergence and development of terrorist networks in the post-Soviet Chechen Republic". Thesis, Keele University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499342.
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Terrorism associated with Chechen people has become commonly known to the world after the dramatic events in the Moscow Dubrovka theatre in 2002 and the school in Beslan, Northern Osetiya in 2004. These events clearly demonstrated to the world the tensions of the long-lasting Russian-Chechen conflict. However, these events were a logical result of the ennergence and evolution or the terrorist networks in Chechnya. The questions that are addressed here are: What are terrorist networks? How they emerge and operate in the context of contemporary Russian Chechen conflict? What were the ideologies which underpinned the Chechen resistance? What concepts and approaches can best explain the emergence and development of the terrorist organisations?
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Mutalemwa, Darlene K. "Small and medium enterprizes in the manufacturing sector of Tanzania : the historical policy environment, networks and market development". Thesis, University of East Anglia, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427056.
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Small and Medium Enterprises (SMEs) are universally recognised as effective instruments for industrialisation and as a contributing factor to economic growth. Yet, despite the adoption of economic and institutional reforms in SubSaharan Africa in the last two decades, the performance of the manufacturing sector in general and SMEs has not been that impressive. The contribution of SMEs in the manufacturing sector has not been significant. Although a considerable amount is known about the poor record of SME progress on the African continent, this knowledge continues to be unsatisfactory in several areas or even defective in others. In fact, a large number of questions remain unanswered, implying that there is no clear identification of the most pertinent explanations to the essence of SME predicaments. This research study tries to articulate this deficiency by prodding into three research issues, namely: the historical policy environment, networks and the development of markets that SMEs have had to cope with and that are influenced by the Tanzanian public sector and business environment. The research study has adopted a mixed method approach by examining the situation of 61 SMEs in the food and woodworking sectors in Tanzanian manufacturing. Survey material, observation and four case studies are presented in the research study. The results confirm that the existing public sector and business environment in Tanzania has largely failed at facilitating SME development. Specifically, the findings highlight constraints faced by SMEs such as, difficulty with finance, a weak and inadequate legal and regulatory framework as well as problems with human resources, inter-firm linkages, export links, technological capabilities, competition and competitiveness. The thesis also offers conclusions regarding the broader significance of the research study given that the importance of the three research issues is underscored by the new policy trend towards private sector development and in view of the repercussions of the globalisation process.
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Kucukozyigit, Ali Can. "Electronic Warfare (EW) historical perspectives and its relationship to Information Operations (IO)-considerations for Turkey". Thesis, Monterey California. Naval Postgraduate School, 2006. http://hdl.handle.net/10945/10154.
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The purpose of this thesis is the exploration of the relationship and interaction between Electronic Warfare (EW) and Information Operations (IO) core, supporting and related competencies. Understanding the definitions of information and its value, information superiority, and the decision making cycle provides the foundation for the thesis. Investigation of the historical transformation of EW from the U.S. Civil War to the First Gulf War, and also examining how the concept of IO has developed and evolved contributes to this study by helping to comprehend the modern day interaction between EW and each IO competency separately. This interaction is constructed upon the guidance and standards provided by the latest U.S. Joint Chiefs of Staff Publication Joint Publication 3-13 Information Operations. This study concludes that the relationship between EW and IO is increasingly interactive and consists of two aspects: limiting and interfering, and reinforcing and supporting. Also, the relationship between EW and each IO competency is not consistent between the core and supporting competencies. In addition to these conclusions, this study expresses some considerations for EW and IO applications with respect to the unique environment and requirements of the Turkish Republic.
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Abdulin, Ruslan. "Applying Machine Learning to Detect Historical Remains in Swedish Forestry Using LIDAR Data". Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104885.
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Historical remains in Swedish forests are at risk of being damaged by heavy machineryduring regular soil preparation, scarification, and regeneration activities. Thereason for this is that the exact locations of these remains are often unknown or theirrecords are inaccurate. Some of the most vulnerable historical remains are the tracesleft after years of charcoal production. In this thesis, we design and implement acomputer vision artificial intelligent model capable of identifying these traces usingtwo accessible visualizations of Light Detection and Ranging (LIDAR) data. Themodel we used was the ResNet34 Convolutional Neural Network pre-trained on theImageNet dataset. The model took advantage of the image segmentation approachand required only a small number of annotations distributed on original images fortraining. During the process of data preparation, the original images were heavilyaugmented, which bolstered the training dataset. Results showed that the model candetect charcoal burners sites and mark them on both types of LIDAR visualizations.Being implemented on modern frameworks and featured with state-of-art machinelearning techniques, the model may reduce the costs of surveys of this type of historicalremains and thereby help save cultural heritage.
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Phelps, Steven Michael. "Historical influences on receiver biases : neural network simulations and behavioral studies of call recognition in the túngara frog /". Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.
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Chatterton, Benjamin Joseph. "Religious Networks as a Sociolinguistic Factor: The Case of Cardston". Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2518.pdf.
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Rekathati, Faton. "Curating news sections in a historical Swedish news corpus". Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166313.
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The National Library of Sweden uses optical character recognition software to digitize their collections of historical newspapers. The purpose of such software is first to automatically segment text and images from scanned newspaper pages, and second to read the contents of the identified text regions. While the raw text is often digitized successfully, important contextual information regarding whether the text constitutes for example a header, a section title or the body text of an article is not captured. These characteristics are easy for a human to distinguish, yet they remain difficult for a machine to recognize. The main purpose of this thesis is to investigate how well section titles in the newspaper Svenska Dagbladet can be classified by using so called image embeddings as features. A secondary aim is to examine whether section titles become harder to classify in older newspaper data. Lastly, we explore if manual annotation work can be reduced using the predictions of a semi-supervised classifier to help in the labeling process. Results indicate the use of image embeddings help quite substantially in classifying section titles. Datasets from three different time periods: 1990-1997, 2004-2013, and 2017 and onwards were sampled and annotated. The best performing model (Xgboost) achieved macro F1 scores of 0.886, 0.936 and 0.980 for the respective time periods. The results also showed classification became more difficult on older newspapers. Furthermore, a semi-supervised classifier managed an average precision of 83% with only single section title examples, showing promise as way to speed up manual annotation of data.
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Bohingamuwa, Wijerathne. "Sri Lanka and the Indian Ocean contacts : internal networks and external connections". Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:0a4d5520-7bcb-458a-8935-83a131cedb95.
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This study reconceptualises Sri Lanka's external trade and interactions from the middle of the first millennium BC to the early second millennium AD. Unlike earlier analyses, mine draws on the excavated material culture from three port-cum-urban centres - Mantai, Kantharodai and Kirinda - which were linked to major urban complexes, interior resource bases and Indian Ocean maritime networks. The scale and intensity of their external trade and connectivity, crafts and industries varied greatly over time and location. My findings illustrate Sri Lanka's earliest cultural-commercial connections with India from the middle of the first millennium BC. By the beginning of the CE, islanders were trading with the Middle East and the Mediterranean in the west and Southeast Asia and China in the east. The Middle East was a particularly strong connection from about the mid-3rd century. Materials from Southeast Asia and China arrive by the late 7th/8th centuries, with the focus of external trade shifting away from the Middle East to the Far-East around the end of the 10th century, lasting until the 12th/13th centuries and beyond. My findings demonstrate that internal developments in irrigated agriculture, iron technology, crafts, industries and procurement-distribution networks were crucial for external trade and connectivity. Contrary to the traditional view, I identify local agency as an important driving force behind both internal and external trade in ancient Sri Lanka. The island's external connectivity did not depend on a single factor but was based on specific historical realities which were constantly redefined and reformulated in response to the changing dynamics within and outside Sri Lanka.
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Forslind, Patrik, e Lucia Edwards. "Trading with Artificial Neural Networks on Large-, Mid- and Small-Cap Stocks : Exploring if Market Cap has an effect on portfolio performance when trading with Artificial Neural Networks trained on historical stock data". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209782.
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n this report one-day ahead stock prediction using artificial neural networks (ANN) is studied on stocks belonging to different market caps. Hennes & Mauritz, EnQuest PLC and Rottneros have been selected, representing large-, mid- and small-cap companies. This report aims to investigate whether a company's market cap affects the ability to predict stock prices when ANNs are trained using historical stock data. The study was carried out using feedforward ANNs and trained using the Levenberg-Marquardt backpropogation algorithm. The results from the study show that the large-cap company H&M was easier to predict than the mid- and small-cap companies. Although the results from this study indicate that a company's market cap affects the ability to predict stock prices using ANNs, a deeper, more extensive investigation has to be carried out in order to draw any real conclusions.I den här rapporten studeras endags aktieprognoser med hjälp av artificiella neurala nätverk (ANN) på aktier med olika marknadsvärden. Aktierna som har valts är Hennes & Mauritz, EnQuest PLC och Rottneros, som är exempel på företag tillhörande high-, mid- och low-cap. Syftet med den här rapporten är att undersöka hurvida ett företags marknadsvärde påverkar hur väl det går att förutspå aktiepriser när ANN tränas på historisk aktiedata. Studien utfördes med feedforward ANN som tränandes med Levenberg-Marquradt backpropogation algoritm. Resultaten från studien visar att H&M, som hade högst marknadsvärde, presterade bättre än EnQuest PLC och Roternos, som hade lägre marknadsvärden. Trots att resultaten från denna studie indikerar att ett företags marknadsvärde påverkar förmågan att utföra aktieprognoser med ANN så måste en djupare, mer omfattande undersökning genomföras för att kunna dra några riktiga slutsatser.
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Williamson, Jackie. "Impact of Social Support Networks on Level of Stress and Self-Esteem Among Canadian Immigrants". ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4188.
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Immigration may be an effective survival strategy for individuals from countries involved in war or political unrest.However, the immigration process may exacerbate a number of physical and psychological health symptoms. There are limited data on the health status of new Canadian immigrants, and some social support networks are not formally connected to settlement programs.The purpose of this cross-sectional quantitative study was to assess the level of stress and self-esteem of 400 recent and older immigrants in Canada, and to investigate the impact of social support networks on the mental well-being of recent immigrants.Cultural care and general adaptation theory provided the theoretical frameworks for the study. Results from logistic regression analyses indicated that there were no significant differences in stress and self-esteem levels between recent and non recent immigrants. Results also indicated marginal significance for new immigrants with Hispanic ethnicity, who had lower stress scores than African immigrants (OR:0.196, 95%CI: 0.034-1.150, p<0.071). Afro-Caribbean recent immigrants had4.36 odds of having low self-esteem compared to African recent immigrants (OR:4.36, 95%CI: 1.113-17.078, p<0.05). Implications for social change include providing information to immigration and public health authorities on factors affecting stress and self-esteem of immigrants to promote the best possible integration outcomes.
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Lawson, Lydia H. "Using social support and theoretically derived messages to increase awareness and use of the C&O Canal National Historical Park for walking an intervention focused on local employees /". Morgantown, W. Va. : [West Virginia University Libraries], 2008. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5711.
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Thesis (M.S.)--West Virginia University, 2008.Title from document title page. Document formatted into pages; contains vii, 118 p. : ill. (some col.), col. maps. Includes abstract. Includes bibliographical references (p. 109-118).
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Humphrey, David. "iReEn Integrated Research Environment : an innovative computer-based, collaborative, research-to-prototype environment for use in the decorative and applied arts, with specific focus on its application in historical jewellery research". Thesis, Royal College of Art, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.602331.
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Hill, Christopher. "The anarchist's jukebox? a historical account of the file sharing conflict : a thesis submitted in partial fulfilment of the requirements for the degree of Master of Arts (Communication Studies), Auckland University of Technology, 2005". Full thesis. Abstract, 2005.
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Thesis (MA--Communication Studies) -- Auckland University of Technology, 2005.Chapter 5 not included in e-thesis. Also held in print (viii, 177 leaves, 30 cm.) in Wellesley Theses Collection. (T 338.4778149 HIL)
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Marshall, Elsa. "Silent Film Music Research as Local Musicology: A Case Study of Musical Practices and Networks in Ottawa Theatres from 1897 to 1929". Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36476.
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The Basilica Notre-Dame Choir accompanying screenings of The Hunchback of Notre Dame at the Regent in 1924, imaginative community prologues before Mary Pickford’s Pollyanna at the Russell in 1920, and costumed opera soloists singing alongside the showing of The Bohemian Girl at the Imperial in 1926: the history of Ottawa’s silent cinemas is an exciting mix of film, theatre, technology, music, and community. Unfortunately, Ottawa’s musical history in the early 1900s has been, by and large, forgotten, and local cinema histories are relatively sparse. In much the same manner that Ottawa theatres incorporated both North American and local elements into their programming, this thesis demonstrates that an examination of the musicians of local cinemas can not only provide information to understand the development of silent film music practices in general, but also unveil a network of musicians and a series of important histories. This thesis reconstructs parts of Ottawa’s silent film music history using a number of methodologies (digital research, archival research, and social network mapping) and primary sources (IATSE union documents, Department of Labour strike documents, newspapers, and trade journals). It also analyses several screenings where music and film were uniquely combined and introduces key figures in Ottawa’s silent film music scene (including violinist Rudolph Pelisek and organist Amédée Tremblay), showing how their training provided prestige to cinemas and how their involvement in military, religious, and communal activities added to cinemas’ appeal.
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Le Chœur de la Basilique Notre-Dame accompagnant les présentations du film The Hunchback of Notre Dame au Regent en 1924, les prologues communautaires inventifs avant le Pollyanna de Mary Pickford au Russell en 1920, et les soloistes d’opéra chantant à côté de la projection de The Bohemian Girl à l’Imperial en 1926: l’histoire des cinémas muets d’Ottawa est un mélange excitant de film, théâtre, technologie, musique et communauté. Malheureusement, le passé musical d’Ottawa au début du vingtième siècle a été largement oublié, et les histoires locales du cinéma sont relativement rares. De la même façon que les théâtres d’Ottawa incluaient à la fois des éléments locaux et nord-américains dans leur programmation, cette thèse démontre qu’un examen des musiciens des cinémas locaux peut non seulement procurer des renseignements pour comprendre le développement de la musique du cinéma muet en général, mais encore lever le voile sur un réseau de musiciens et une série de récits d’importance. Cette thèse reconstruit des aspects de l’histoire de la musique du du cinéma muet à Ottawa en utilisant un plusieurs méthodologies (la recherche numérique, la recherche en archives, et la cartographie des réseaux sociaux) et de sources primaires (documents du syndicat ouvrier IATSE, documents de grève du ministère fédéral du Travail, quotidiens, et revues spécialisées). La thèse analyse aussi quelques instances uniques de combinaison de musique et de film, et présente des personnages clé de la scène musicale du cinéma muet d’Ottawa (incluant le violoniste Rudolph Pelisek et l’organiste Amédée Tremblay), tout en montrant comment leur formation procurait du prestige aux cinémas, et comment leur implication dans des activités militaires, religieuses, et communautaires ont ajouté à la popularité des cinémas.
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Resende, Murilo José de. "O pensamento histórico em redes hipertextuais". Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/48/48134/tde-03122013-141501/.
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O presente estudo tem como objetivo investigar evidências de operações cognitivas pertencentes ao pensamento histórico de estudantes da escola básica durante a pesquisa de temas históricos na Internet. Entende-se que tal investigação seja possível ao compreender os critérios usados para a busca, leitura e seleção de informações históricas durante a navegação na web. Para atingir esse objetivo, foi necessário o desenvolvimento de etapas de investigação que permitiu a) compreender as formas de seleção e leitura de informações históricas na Internet durante uma pesquisa sobre um tema histórico; b) investigar as formas de articulação dessas informações em suporte digital e sua relação com a narrativa histórica e c) compreender como o pensamento histórico do aluno do Ensino Fundamental II se manifesta em uma rede hipertextual dentro de uma situação de pesquisa histórica. Tal análise considerou que o ato de navegar pela Internet, que significa transitar por uma rede de hipertextos sob a forma de diferentes signos em formato digital, influencia de maneira única as práticas de leitura e aquisição de conhecimento. Essa rede hipertextual, que é definida como ciberespaço, é compreendida como um ambiente de aprendizagem que possibilita a interação entre diversos atores de comunicação pelo suporte material oferecido pela Internet. Dessa maneira, uma pesquisa escolar foi proposta para avaliar de que modo os alunos a realizariam. A proposta criou uma demanda de pesquisa sobre movimentos juvenis na contemporaneidade e esta foi realizada com alunos de um colégio particular da cidade de São Paulo. Essa atividade foi monitorada por meio de um software específico que gerou 26 arquivos de vídeo que foram analisados, além de 26 arquivos em formato de PowerPoint, usados pelos alunos para elaborar uma resposta à pesquisa empreendida. Esse material possibilitou a análise das operações cognitivas mobilizadas durante a navegação, relacionando essas operações com o desenvolvimento da literacia histórica desses alunos. A análise extensa dos vídeos possibilitou a elaboração de categorias que ajudaram a responder à relação entre o aluno, o conhecimento histórico e a navegação na Internet e as formas de leitura empreendidas por esses alunos no ambiente web, sendo constatado que o tipo de informação histórica mais selecionado foi o que identificava diretamente um acontecimento (79% selecionaram esse tipo de informação), sendo que 76% desses blocos apresentavam marcas temporais como a cronologia, ou mudanças e continuidades. Tal resultado denota um olhar aguçado desses alunos participantes aos sinais que podem indicar a qualidade das informações históricas utilizadas. Também foram analisadas as imagens selecionadas por esses alunos, em que foi observada a preferência quase unânime por fotografias que poderiam ajudar a explicar o tema pesquisado. Das fotografias selecionadas, foram analisadas as pequenas narrativas que essas portavam, dentro do conceito de análise pré-iconográfica, buscando identificar a relação de empatia histórica frente a essas imagens, demonstrada por apenas 31% das seleções realizadas pelos alunos.The present study aims to investigate the quality of historical thought of primary school students during the historical research theme on the Internet. It is understood that such research is possible to understand the criteria used for searching, reading and selection of historical information while browsing the web. To achieve this goal it was necessary to develop research steps that allowed a) understand the ways of selection and reading of historical information on the Internet during a research on a historical topic, b) investigate ways to articulate this information in digital form and its compared with the historical narrative and c) understand how historical thinking student of Elementary Education II manifests itself in a hypertext network within a state historical research. This analysis found that the act of surfing the Internet, which means transit through a network of hypertext in the form of different signs in digital format, so only influences the practice of reading and knowledge acquisition. In this hypertext network, which is defined as cyberspace, is understood as a learning environment that enables the interaction between various actors of communication material support offered by the Internet. Thus, it was organized a form of research that created a demand for research on youth movements in contemporary which was conducted by students of a private school in the city of São Paulo. This activity was monitored by means of specific software that generated 26 video files that were analyzed, and 26 files in PowerPoint format, used by students to prepare a response to the research undertaken. This material allowed the analysis of cognitive operations mobilized during navigation, these operations relating to the development of historical literacy of these students. The extensive analysis of the videos enabled the elaboration of categories that helped answer the relationship between the student, historical knowledge and Internet browsing and ways of reading undertaken by these students in the web environment, and revealed that the historical information over selected was an event that directly identified (79% selected this type of information), 76% of these blocks also quality information as temporal chronology, change or continuity. This result indicates a keen eye these participating students for signs that may indicate the quality of the historical information used. Reviewest images were also selected by these students, where we observed the almost unanimous preference for photographs that could help explain the topic searched. Within the selected photographs, analyzed the narratives that these small bore, within the concept of preiconographic analysis in order to identify the relationship of historical empathy compared to those images, demonstrated by only 31% of selections made by students.
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Flores, Roberto Jose. "Speaking Private Authority: The Construction of Sustainability in Forests and Fisheries". FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3565.
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The aim of this dissertation is to expand upon current understandings of the emergent global phenomenon that is private authority. Private authority is a process wherein private actors create, implement, and enforce rules aimed at managing global problems. As private authority is becoming increasingly important in the conduct of global governance, broadening our understanding of it will serve the field of International Relations. In this dissertation I argue that private actors are not simply outgrowths of structures or certain material conditions, rather they are purposive actors strategically pursuing an agenda. As such, explaining private authority requires an examination of the constitutive elements that underlie this social phenomenon––to which I apply an innovative conceptual and analytical framework that combines social network theory with discourse analysis.
I applied these tools to two cases taken from the environmental sector––forests and fisheries. I found that as a result of the development of a greater networked character to environmental politics, the actors that were best able to generate and wield private authority were those that were able to construct discursive nodal points around which other competing actors could converge––at the level of identity. The construction of nodal points placed these private actors in privileged positions in-between competing networks––making them network connectors. In this position they are able to facilitate the flow of power across networks and convert such into private authority, at a rate greater than that of their competitors.
As related to the cases, I found that in forests and fisheries sectors it was the Forest Stewardship Council and Marine Stewardship Council that emerged as the most prominent and expansive private authorities. They did so as a result of their ability to construct a nodal point around their tailored definition of what sustainable development meant, and looked like in practice. This placed them in-between two powerful networks (the environmental NGO network and the industrial network), facilitating the flow of power between them, and leveraging such to expand their programs beyond that of competing programs. Thus, social position plays a crucial role in determining the success of private authority programs.
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Bosenbecker, Patrícia. "Três gerações de empreendedorismo : capital e laços sociais entre Brasil e Alemanha a partir do estudo de caso da família Rheingantz". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/159175.
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Este trabalho analisa a construção e o desenvolvimento dos negócios da família Rheingantz, a partir das redes sociais constituídas e operadas por três gerações familiares, no período de 1840 até 1930. A tese investiga o papel do capital social ao longo do tempo, seu uso pelos membros familiares e a transmissão geracional. Percebendo a família Rheingantz como um grupo imigrante singular em termos de adaptação em solo brasileiro, essa análise busca refletir o papel dos laços transnacionais na construção e manutenção de empreendimentos de propriedade imigrante. Fruto de ampla pesquisa histórica, a tese apresenta uma narrativa de abordagem sócio histórica, que tem entre seus objetivos: investigar o papel das redes transmigrantes na formação e no desenvolvimento das empresas da família Rheingantz ao longo do tempo; analisar o uso de capital social entre membros familiares e sua transmissão entre gerações; avaliar quais os grupos envolvidos com os negócios da família Rheingantz e quais os benefícios que podem ter recebido no interior das redes sociais.This work analyzes the construction and development of the Rheingantz family business, focusing on the social networks operated by three generations of the family, between 1840 until 1930. The thesis investigates the role of social capital over time, its use by family members and intergenerational transmission. Understanding the immigrant Rheingantz family as uniquely successful in adaptation to Brazil, this analysis emphasizes the role of transnational ties in the construction and maintenance of immigrant enterprises. The result of extensive historical research, this thesis presents a socio-historical narrative that has among its objectives: investigate the role of transmigrant networks in the formation and development of the Rheingantz family businesses over time; analyze the use of social capital by family members and its transmission between generations; assess which groups were involved in the Rheingantz family business, and what benefits they received within the social networks.
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Olazaran, Rodríguez José Miguel. "A historical sociology of neural network research". Thesis, University of Edinburgh, 1991. http://hdl.handle.net/1842/20075.
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It has been argued that science is generated and validated through processes of controversy, and that controversies are 'closed' through 'rhetorical' processes of 'enrolment of heterogeneous allies and resources.' It has also been argued that, once a controversy is closed, it is increasingly difficult for the 'losing' position to maintain the plausibility of its views, arguments, and interpretations (words like 'reification,' 'inertia,' and 'institutionalisation' have been used to refer to this). Controversies have shaped neural network research throughout its history, from the 1950s to the 1980s. In this dissertation I analyse the history of neural network research using a 'controversy/rhetorical tactics/enrolment of allies and resources/closure' scheme. I claim that the result is a useful and powerful interpretation of the main developments of the evolution of neural network research. The neural network controversy is especially interesting because it was once (in the late 1960s) closed against neural networks, and twenty years later (in the late 1980s) it was reopened. The history of neural network research can be seen as the history of the closure and reopening of the neural network controversy.
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Sarmento, Mario R. "The NBA on network television a historical analysis /". [Florida] : State University System of Florida, 1998. http://etd.fcla.edu/etd/uf/1998/amd0039/thesis.pdf.
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Gondek, Abby S. "Jewish Women’s Transracial Epistemological Networks: Representations of Black Women in the African Diaspora, 1930-1980". FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3575.
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This dissertation investigates how Jewish women social scientists relationally established their gendered-racialized subjectivities and theories about race-gender-sexuality-class through their portrayals of black women’s sexuality and family structures in the African Diaspora: the U.S., Brazil, South Africa, Swaziland, and the U.K. The central women in this study: Ellen Hellmann, Ruth Landes, Hilda Kuper, and Ruth Glass, were part of the same “political generation,” born in 1908-1912, coming of age when Jews of European descent experienced an ambivalent and conditional assimilation into whiteness, a form of internal colonization. I demonstrate how each woman’s familial origin point in Europe, parental class and political orientations, were important factors influencing her later personal/professional networks and social science theorizing about women of color. However, other important factors included the national racial context, the political affiliations of her partners, her marital status and her transracial fieldwork experiences. One of the main problems my work addresses is how the internal colonization process in differing nations within the Jewish diaspora differently affected and positioned Jewish social scientists from divergent class and political affiliations. Gendering Aamir Mufti’s primarily male-oriented argument, I demonstrate how Jewish internal divergences serve as an example that highlights the lack of uniformity within any “identity” group, and the ways that minority groups, like Jews, use measures of “abnormal” gender and sexuality, to create internal exiled minorities in order to try to assimilate into the majority colonizing culture. My dissertation addresses three problems within previous studies of Jewish social scientists by creating a gendered analysis of the history of Jews in social science, an analysis of Jewish subjectivity within histories of women (who were Jewish) in social science, and a critique of the either-or assumption that Jewishness necessarily equated with a “radical” anti-racist approach or a “colonizing” stance toward black communities. The data collection followed a mixed methods approach, incorporating archival research, ethnographic object analysis, site visits in Brazil and South Africa, consultations with library, archive and museum professionals, and interviews with scholars connected to the core women in the study.
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Sciaretta, Kent J. Trettel David J. "A historical perspective of the Global Transportation Network (GTN) /". Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA378499.
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Thesis (M.S. in Management) Naval Postgraduate School, March 2000.Thesis advisor(s): Lewis, Ira ; Gates, William. "March 2000." Includes bibliographical references (p. 87-91). Also available online.
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Sciaretta, Kent J., e David J. Trettel. "A historical perspective of the Global Transportation Network (GTN)". Thesis, Monterey, California. Naval Postgraduate School, 2000. http://hdl.handle.net/10945/9382.
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This thesis analyzes the changes within the Global Transportation Network (GTN)/In Transit Visibility (ITV) feeder systems and the subsequent ITV they provide by comparing the current position to the past and by examining future trends. Up until now, there has been no definitive documentation showing the initial inception or the subsequent improvements that have taken place in developing the GTN and feeder systems. The inception of the GTN is documented, including some of the "proof of concept" prototypes. The operational prototypes and production systems are also analyzed, including the feeder systems used in the GTN and how the GTN performed during operation Desert Shield/Storm. USTRANSCOM's vision of the future GTN, up to FY04, is explained along with the authors' view of possible future GTN capabilities.
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Hafner, Florian. "IMPROVING AIRLINE SCHEDULE RELIABILITY USING A STRATEGIC MULTI-OBJECTIVE RUNWAY SLOT ASSIGNMENT SEARCH HEURISTIC". Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3259.
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Improving the predictability of airline schedules in the National Airspace System (NAS) has been a constant endeavor, particularly as system delays grow with ever-increasing demand. Airline schedules need to be resistant to perturbations in the system including Ground Delay Programs (GDPs) and inclement weather. The strategic search heuristic proposed in this dissertation significantly improves airline schedule reliability by assigning airport departure and arrival slots to each flight in the schedule across a network of airports. This is performed using a multi-objective optimization approach that is primarily based on historical flight and taxi times but also includes certain airline, airport, and FAA priorities. The intent of this algorithm is to produce a more reliable, robust schedule that operates in today's environment as well as tomorrow's 4-Dimensional Trajectory Controlled system as described the FAA's Next Generation ATM system (NextGen). This novel airline schedule optimization approach is implemented using a multi-objective evolutionary algorithm which is capable of incorporating limited airport capacities. The core of the fitness function is an extensive database of historic operating times for flight and ground operations collected over a two year period based on ASDI and BTS data. Empirical distributions based on this data reflect the probability that flights encounter various flight and taxi times. The fitness function also adds the ability to define priorities for certain flights based on aircraft size, flight time, and airline usage. The algorithm is applied to airline schedules for two primary US airports: Chicago O'Hare and Atlanta Hartsfield-Jackson. The effects of this multi-objective schedule optimization are evaluated in a variety of scenarios including periods of high, medium, and low demand. The schedules generated by the optimization algorithm were evaluated using a simple queuing simulation model implemented in AnyLogic. The scenarios were simulated in AnyLogic using two basic setups: (1) using modes of flight and taxi times that reflect highly predictable 4-Dimensional Trajectory Control operations and (2) using full distributions of flight and taxi times reflecting current day operations. The simulation analysis showed significant improvements in reliability as measured by the mean square difference (MSD) of filed versus simulated flight arrival and departure times. Arrivals showed the most consistent improvements of up to 80% in on-time performance (OTP). Departures showed reduced overall improvements, particularly when the optimization was performed without the consideration of airport capacity. The 4-Dimensional Trajectory Control environment more than doubled the on-time performance of departures over the current day, more chaotic scenarios. This research shows that airline schedule reliability can be significantly improved over a network of airports using historical flight and taxi time data. It also provides for a mechanism to prioritize flights based on various airline, airport, and ATC goals. The algorithm is shown to work in today's environment as well as tomorrow's NextGen 4-Dimensional Trajectory Control setup.Ph.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering PhD
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Campagnola, Michelle. "Examining the Relationship Between Communication Apprehension and Individual Innovativeness in Managers". ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4504.
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Communicative challenges that hinder managerial engagement in social networks can impede innovation adoption and thereby damage the financial performance and competitiveness of a firm. The purpose of this correlational study was to examine the relationship between communication apprehension (CA) and individual innovativeness in managers. The focus of the research questions was determining if a relationship exists between these variables before and after controlling for demographic characteristics. With diffusion of innovation theory as the theoretical framework, this research involved an attempt to address how adoption categories relate to varying degrees of CA. One hundred and five American-based owner-executives, senior managers, and middle managers completed 2 preexisting survey instruments on the Internet measuring individual perceptions of CA and individual innovativeness. Results from a Pearson correlation analysis indicated that a significant negative correlation existed between CA and individual innovativeness. A multiple regression analysis showed that CA and individual innovativeness were negatively correlated after controlling for gender, age, and education level. Furthermore, participants' level of education was negatively related to both total CA score and public speaking CA score. Leaders may apply these findings to achieve positive social change by using tools to reduce CA in managers. Such initiatives could lead to greater social confidence in managers, improved organizational performance, and more meaningful social engagement in the innovations that continue to shape the world.
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Lasley, Carrie E. "Catastrophes and the Role of Social Networks in Recovery: A Case Study of St. Bernard Parish, LA, Residents After Hurricane Katrina". ScholarWorks@UNO, 2012. http://scholarworks.uno.edu/td/1504.
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The purpose of this dissertation is to examine the experiences of St. Bernard Parish, La., residents as they coped with the impact of the catastrophe of Hurricane Katrina on August 29, 2005. An estimated 50,000 St. Bernard Parish residents relocated to a new home one year after Katina in 2006, and many of those residents moved again. This study examines the effects of the decisions of St. Bernard residents to relocate or to return on their social connections. The utility, adaptability and durability of social networks of these residents will be explored to enrich our knowledge about the social effects of recovery and the role that distance plays in the way residents connect to each other six years after Hurricane Katrina. It also examines the applicability of disaster theory as it relates to this case and develops a methodology for examining the impact of geographic dispersal on social networks.
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Parker, Jason Shaw. "Land tenure in the Sugar Creek watershed a contextual analysis of land tenure and social networks, intergenerational farm succession, and conservation use among farmers of Wayne County, Ohio /". Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1147971583.
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Westphal, Florian. "Efficient Document Image Binarization using Heterogeneous Computing and Interactive Machine Learning". Licentiate thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16797.
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Large collections of historical document images have been collected by companies and government institutions for decades. More recently, these collections have been made available to a larger public via the Internet. However, to make accessing them truly useful, the contained images need to be made readable and searchable. One step in that direction is document image binarization, the separation of text foreground from page background. This separation makes the text shown in the document images easier to process by humans and other image processing algorithms alike. While reasonably well working binarization algorithms exist, it is not sufficient to just being able to perform the separation of foreground and background well. This separation also has to be achieved in an efficient manner, in terms of execution time, but also in terms of training data used by machine learning based methods. This is necessary to make binarization not only theoretically possible, but also practically viable. In this thesis, we explore different ways to achieve efficient binarization in terms of execution time by improving the implementation and the algorithm of a state-of-the-art binarization method. We find that parameter prediction, as well as mapping the algorithm onto the graphics processing unit (GPU) help to improve its execution performance. Furthermore, we propose a binarization algorithm based on recurrent neural networks and evaluate the choice of its design parameters with respect to their impact on execution time and binarization quality. Here, we identify a trade-off between binarization quality and execution performance based on the algorithm’s footprint size and show that dynamically weighted training loss tends to improve the binarization quality. Lastly, we address the problem of training data efficiency by evaluating the use of interactive machine learning for reducing the required amount of training data for our recurrent neural network based method. We show that user feedback can help to achieve better binarization quality with less training data and that visualized uncertainty helps to guide users to give more relevant feedback.Scalable resource-efficient systems for big data analytics
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Gunnarsson, Ingemar. "Karlshamn-Wislanda Jernväg : Maktelit och nätverk i Karlshamns stad vid banans tillblivelse 1855-1874". Thesis, Växjö University, School of Humanities, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-868.
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The aim of this essay was to describe the power elite of the Swedish town Karlshamn, and its influences on the local political process before the realization of the narrow-gauge railway Karlshamn-Wislanda-Jernväg. During the mid 19th century, a revolutionary period began in the Swedish pre-industrial epoch. The political and institutional regulatory frameworks were disassembled and restructured, away from protectionism and centrally controlled administration, for the benefit of free trade, local self-government and liberalism. The changes were carried through during times marked by a drastic increasing native population and upcoming demands for adjustments to meet the growth of the industrial-, trade- and labour markets. An essential industrial development factor was the building of the national railway network, which started after some important decisions in the Swedish Riksdag during the 1850´s. In close connection with governmental initiatives to build national trunk lines, processes on the local political arenas were initiated to rapidly obtain connections to these planned main lines. Focus in this study was put on the town Karlshamn 1855-1874 and the main document sources that were examined consisted of protocols and petitions from errands on the local political arenas, f.e. the town council. The material was methodically revised by means of a network- and field analysis. Through this analytical method it was possible to confirm the power elite actors, their potential networks and reproduced groups. The results point to the importance of the formal networks an their contributions to the accumulation of social capital. Above all, this was significant for the most important individuals in the process, the local wholesale dealers Edvard Ferdinand Meyer and Carl Gustaf Berg. The process also resulted in a reproduction of local political power, and the dominance on the political field was continued. All through the twenty-year lasting process, the railway issue became a possibility for the local elite, with representatives from the trading companies, to mobilize the political decisions in the direction of continuous economic development, and enlargement of the town´s commercial area. In the town of Karlshamn, with a stagnating economy, the new infrastructure, beside the connection to the main national lines, constituted a lifeline towards continuous financial expansion and competitiveness.
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Downey, Laura. "Well-being Technologies: Meditation Using Virtual Worlds". NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/65.
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In a technologically overloaded world, is it possible to use technology to support well-being activities and enhance human flourishing? Proponents of positive technology and positive computing are striving to answer yes to that question. However, the impact of technology on well-being remains unresolved. Positive technology combines technology and positive psychology. Positive psychology focuses on well-being and the science of human flourishing. Positive computing includes an emphasis on designing with well-being in mind as a way to support human potential. User experience (UX) is critical to positive technology and positive computing. UX researchers and practitioners are advocating for experience-driven design and third wave human-computer interaction (HCI) that focuses on multi-dimensional, interpretive, situated, and phenomenological aspects. Third-wave HCI goes beyond cognition to include emotions, values, culture, and experience. This research investigated technology-supported meditation in a three-dimensional (3D) virtual world from a positive technology perspective to examine how technology can support engagement, self-empowerment, and well-being. Designing and evaluating technology for well-being support is complex and challenging. Further, although virtual worlds have been used in positive technology applications, little research exists that illuminates the experience of user engagement in virtual worlds. In this formative exploratory study, experienced meditators (N = 12) interacted with a virtual meditation world titled Sanctuarium that was developed for this research. Using a third wave HCI approach, both quantitative and qualitative data were collected to understand the nature of engagement with a virtual world and the experiential aspects of technology-supported meditation. Results supported using virtual worlds to produce restorative natural environments. Participants overwhelmingly reacted positively to the islandscape including both visual and sound elements. Findings indicated that Sanctuarium facilitated the meditation experience, similar to guided meditation – although participants remarked on the uniqueness of the experience. Aspects of facilitation centered on the concepts of non-distraction, focus, and simplicity of design and instructions. Participants also identified Sanctuarium as a good tool for helping those new to meditation. Meditators described positive effects of their meditation experience during interviews and also rated their experience as positive using the scale titled Effects of Meditation During Meditation. Phenomenological analysis provided a rich description of the nature of engagement while meditating with Sanctuarium. Meditators also rated engagement as high via an adapted User Engagement Scale. This interdisciplinary work drew from multiple fields and contributes to the HCI domain, virtual worlds’ literature, information systems research, and the nascent areas of positive technology and positive computing.
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Clements, Gaillynn Davis. "Be : a socio-historical and linguistic study of a rural North Carolina social network". Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708346.
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Hubková, Helena. "Named-entity recognition in Czech historical texts : Using a CNN-BiLSTM neural network model". Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385682.
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The thesis presents named-entity recognition in Czech historical newspapers from Modern Access to Historical Sources Project. Our goal was to create a specific corpus and annotation manual for the project and evaluate neural networks methods for named-entity recognition within the task. We created the corpus using scanned Czech historical newspapers. The scanned pages were converted to digitize text by optical character recognition (OCR) method. The data were preprocessed by deleting some OCR errors. We also defined specific named entities types for our task and created an annotation manual with examples for the project. Based on that, we annotated the final corpus. To find the most suitable neural networks model for our task, we experimented with different neural networks architectures, namely long short-term memory (LSTM), bidirectional LSTM and CNN-BiLSTM models. Moreover, we experimented with randomly initialized word embeddings that were trained during the training process and pretrained word embeddings for contemporary Czech published as open source by fastText. We achieved the best result F1 score 0.444 using CNN-BiLSTM model and the pretrained word embeddings by fastText. We found out that we do not need to normalize spelling of our historical texts to get closer to contemporary language if we use the neural network model. We provided a qualitative analysis of observed linguistics phenomena as well. We found out that some word forms and pair of words which were not frequent in our training data set were miss-tagged or not tagged at all. Based on that, we can say that larger data sets could improve the results.
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Abrishami, Mahdi. "Dynamic Link Flow Estimation according to Historical Travel Times". Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-144583.
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Vast application of ITS and the availability of numerous on-road detection devices has resulted in variety of alternative data sources to be exploited and used in the field of traffic modelling. In this thesis, historical travel times, as an alternative data source, is employed on the developed method to perform dynamic network loading. The developed method, referred to as DNLTT, uses the share of each route available in the route choice set from the initial demand, as well as link travel times to perform the network loading. The output of the algorithm is time-dependent link flows. DNLTT is applied on Stockholm transportation network, where it is expected to have variation in link travel times in different time-periods, due to network congestion. In order to calculate the route shares, a time-sliced OD matrix is used. The historical travel times and the routes in the route choice set are extracted from an existing route planning tool. An available logit model, which considers the route travel time as the only logit parameter, is used for the route share calculation and the network loading is performed according to 2 different methods of DNLTT and DL. The evaluation of results is done for a toy network, where there happen different network states in different time-periods. Furthermore, the model output from Stockholm case study is analyzed and evaluated. The dynamic behavior of DNLTT is studied by analysis of link flows in different time-periods. Furthermore, the resulting link flows from both network loading methods are compared against observed link flows from radar sensors and the statistical analysis of link flows is performed accordingly. DNLTT exhibits a better performance on the toy network compared to DL, where the increasing link travel times cause the link flows to decline in different time-periods. However, the output of the developed method does not resemble the observed link flows for the investigated links in Stockholm case study. It is strongly believed, that the performance of DNLTT on the investigated transportation network potentially improves, in case the historical travel times better resemble the network dynamics. In addition to a more reliable data set, an OD adjustment process in all the time-periods is believed to generate better model output.
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Akermark, Adam, e Martin Svensson. "Piratkopiering - en oändlig historia?" Thesis, Växjö University, School of Mathematics and Systems Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-809.
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Abstrakt (svenska)
Bakgrund: Piratkopieringen bara ökar och ökar. Program-, spel- och musikbranschen har idag stora problem. En i stort sett okunnig användare kan fixa en nyutgiven skiva innan den nått butikerna på grund av piratkopieringen. Detta problem möjliggörs genom att ingen bra lösning finns i form av fungerande kopieringsskydd samt att fildelningstjänsterna får stort spelrum. Vi går in specifikt och undersöker musikbranschen.
Syfte: Fördjupa oss i begreppet piratkopiering. Vidare vill vi upplysa och informera såväl musikbranschen som användare om problemet och dess framtid. Vi hoppas att det resultat vi kommer fram till kan ge underlag för vidare forskning.
Metod: Vår information har tagits från artiklar på Internet samt från litteratur vi ansett vara aktuell. Telefonintervjuer har skett med Magnus Mårtensson, IFPI (International Federation of the Phonographic Industry), programjuristen Anna Burén på Sveriges Radio, Per Sandin,
General manager EMI marketing samt ett flertal Internetleverantörer. Vi har dessutom sammanställt en enkät som besvarats av en mängd personer.
Resultat: Många av gårdagens skivköpare anser att priset för en CD-skiva är för dyrt idag. Man har upptäckt piratkopieringen med dess obegränsade funktioner samt insett hur lätt det är att få tag på gratis musik utan repressalier, vilket beror på den idag vaga och ej alltför avskräckande lagstiftningen. Musikbolagen förlorar pengar och höjer därmed priserna för skivorna samtidigt som de aktivt arbetar för att hitta det perfekta kopieringsskyddet eller för att komma på någon annan strålande lösning. Framtiden ser oviss ut och för tillfället har
piratkopierarna och fildelningstjänsterna trumf på hand.
Nyckelord: Mp3, CD, Kopieringsskydd, Fildelningstjänster, Upphovsrätt och Musikintressenter.
Abstract (English)
Background: Illegal copying increases rapidly. Software-, game- and music industry are experiencing troubled times at the moment. Today, a practically ignorant person would have no problems to get hold of a newly published record before it reaches the stores because of the
illegal copying. This problem is made possible due to that no good solution exists. Copy protection isn’t good enough and peer-to-peer-networks are bigger than ever. In this work we will examine specifically the music industry.
Purpose: We will specialize in the term of illegal copying. Further we want to enlight and inform the music industry as well as the users of the problem and it´s future. We hope the result we will achieve can be a foundation for further research.
Realization: We have gathered our information from articles on the Internet and also from updated literature. Interviews were made over the phone with Magnus Mårtensson, IFPI (International Federation of the Phonographic Industry), Anna Burén, lawyer of copyright at
Swedish Radio, Per Sandin, General manager EMI marketing and also a lot of Internetsuppliers. We have also compilated an inquiry which has been replied to by many people.
Conclusion: Many of the buyers from the past consider the cost of a CD far too high. Instead they have discovered the illegal copying and its unlimited functions. They have also realized how easy you can get new music without reprisals, which mostly depends on the vague and
not to scary laws. Music companies are losing money and therefore they raise the prize of a single CD, simultaneously as they work to find the perfect copy protection. The future looks uncertain and for the moment, those who are copying along with peer-to-peer-networks have
all the trumps.
Keywords: mp3, CD, copy-protection, peer-to-peer-networks, copyright, illegal copying, music companies.
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Forsén, Anna. "Från sällskaplig hustru till ensam gumma : En fallstudie av Märta Helena Reenstiernas sociala nätverk och dess förändringar 1793-1830". Thesis, Linnéuniversitetet, Institutionen för kulturvetenskaper (KV), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-64828.
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Märta Helena Reenstierna was a Swedish noblewoman who lived at a countryside estate called Årsta, just outside the city borders of Stockholm in the late 18th and early 19th century, a time when the nobility lost much of its privileges and the uprising bourgeois class gained new influence. Märta Helena is famous for the diary she kept almost every day from 1793 until 1839, two years before her death and its wide array of topics. One of the most important of them is the extensive social network she her entire life had around her and her comments and statements about her family, friends, visitors and servants are full-bodied records of the time she lived in. The purpose with this thesis is therefore to investigate how this social network changed over time as Märta Helena became older and tragically lost both her husband and the only son that survived to adulthood. It will also discuss the characteristics of the relationships she had with some of the individuals in her network, outside her nuclear family and some of the ways that she showed her noble status in public. All with the help from excerpts of this diary. The conclusion will show that the largest parts of her social network consisted of bourgeois men who were her friends and her troublesome servants and that her own aging process is a more substantial factor in the change processes in her network than the large-scale transformations in society that took place during her life time.