Made available in DSpace on 2016-04-27T16:57:53Z (GMT). No. of bitstreams: 1 dissertacao_marcelo_de_melo.pdf: 424951 bytes, checksum: 640fdd659d848506165f0413befc130b (MD5) Previous issue date: 2007-04-10 / Secretaria da Educação do Estado de São Paulo / The present study aims to detect how pre-service mathematic teachers develop inequalities among their students and what are the sources of their work in this subject. In order to accomplish that, we chose Raymond Duval theoretical framework about semiotic registers of representation. According to this theory the coordination among several semiotic representational registers promote the conceptualization of a mathematical object. In this perspective, we collected and analyzed data from: institutional documents; interviews with four teachers of the investigated course; didactical materials recommended and used by them. Besides that, we used data from student s exercise books / Este trabalho teve o objetivo de detectar como professores de um curso de Licenciatura em Matemática desenvolvem desigualdades e inequações com suas classes e quais as fontes orientadoras de seu trabalho a respeito desses assuntos. Para realizar tal investigação escolhemos como referencial teórico central a teoria de Raymond Duval que trata dos registros de representação semiótica. Segundo esta teoria a coordenação de diversos registros de representação semiótica viabiliza a apreensão conceitual de um objeto matemático. Nesta perspectiva, coletamos e analisamos dados de: documentos institucionais; entrevistas com quatro professores do curso investigado; de material didático utilizado e recomendado por eles e de cadernos de alguns de seus alunos

Software as a service is an emerging but important aspect of the web. WebServices play a vital role in providing it. Web Services are commonly provided in one of two architectural styles: a "REpresentational State Transfer" (REST), or using the "Simple Object Access Protocol" (SOAP.) Originally most web content was text and small images. But more recent services involve complex data structures including text, images, audio, and video. The task of optimizing data to provide delivery of these structures is a complex one, involving both theoretical and practical aspects. In this thesis work, I have considered two architectures developed in the REST architectural style and tested them on mixes of data types (plain text, image, audio) being retrieved from a file system or database. The payload which carries the actual content of a data transmission process can either be in Extensible Markup Language (XML) or JavaScript Object Notation (JSON). Both of these language notations are widely used. The two architectures used in this thesis work are titled as Scenario 1 and Scenario 2. Scenario 1 proposes two different cases for storing, retrieving and presenting the data via a REST web service. We investigate the question of what is the best way to provide different data types (image, audio) via REST Web Service. Payload size for JSON and XML are compared. Scenario 2 proposes an enhanced and optimized architecture which is derived from the pros of the first two cases in Scenario 1. The proposed architecture is best suited for retrieving and serving non-homogeneous data as a service in a homogenous environment. This thesis is composed of theoretical and practical parts. The theory part contains the design and principles of REST architecture. The practical part has a Web Service provider and consumer model developed in Java. The practical part is developed using the Spring MVC framework and Apache CXF, which provides an implementation using JAX-RS, the Java API for RESTful services. A glossary of acronyms used in this thesis appears in the appendix on page 101.

Abstract The Internet of Things vision proposes a global platform in an unforeseen scale for distributed applications that rely on data provided by interconnected resource-constrained things. In such large-scale systems, centralized control of system operation by a single component through vertical interactions becomes unfeasible. Ideally, decentralized control in the proximity of things enables to take into account the local dynamic resource availability and environmental characteristics that are used to optimize the application execution. To realize decentralization, capabilities for horizontal interactions, that complement the vertical interactions, and for opportunistic participation of things are needed. This thesis explores mobile agent technology to implement distributed Internet of Things applications that benefit from both vertical and horizontal interactions of the application components. First, a resource-oriented reactive mobile agent architecture and a software framework are presented. The framework facilitates RESTful interactions between agents and other system components and provides a REST-based interface to build opportunistic agent-based applications. Two agent platforms are presented that integrate resource-constrained things into the framework as mobile agent hosts. Second, mobile agent based mobile crowdsensing and edge computing applications are evaluated with large-scale simulations and real-world experiments. The results show that energy consumption is decreased in the participating things, in comparison with the existing approaches, by agent-based in-network data processing and control of the thing operation. This thesis makes a valuable contribution by enabling mobile agent operations in a heterogeneous set of resource-constrained things. The presented empirical evidence shows how mobile agent technology increases energy efficiency in distributed application execution. The presented mobile agent architecture and software framework potentially accelerate the utilization of mobile agent technology in the Internet of Things. / Tiivistelmä Esineiden Internet liittää resurssirajoitteiset sulautetut laitteet laajamittaisesti Internet-verkkoon, jossa niiden tuottamaa tietoa hyödynnetään hajautettujen järjestelmien sovelluksissa. Esineiden Internetin järjestelmien odotetaan skaalautuvan niin laajoiksi, ettei keskitetty, vertikaaliseen vuorovaikutukseen perustuva järjestelmähallinta ole enää käyttökelpoinen ratkaisu. Hajautettu hallinta lähellä tietoa tuottavia laitteita tuo etuja, kun paikallisesti sovelluksen suorituksessa otetaan huomioon toimintaympäristön tila ja voidaan reagoida dynaamisesti resurssien saatavuuteen. Hajautus Esineiden Internetin sovellusalustoilla edellyttää menetelmiä sekä laitteiden vertikaaliseen ja horisontaaliseen vuorovaikutukseen, että niiden dynaamisen osallistumisen mahdollistamiseksi sovelluksen suorittamisessa. Tässä työssä tutkittiin mobiiliagentti-teknologiaa hajautettujen sovellusten toteuttamiseen Esineiden Internet-ympäristössä. Työssä esitettiin resurssisuuntautunut arkkitehtuuri reaktiivisille mobiiliagenteille sekä ohjelmistokehys, joita käyttäen voidaan toteuttaa agenttipohjaisia hajautettuja sovelluksia. Ohjelmistokehys perustuu REST-arkkitehtuurimalliin, jonka pohjalta esitettiin yhdenmukainen rajapinta agenttien ja järjestelmäkomponenttien väliseen vuorovaikutukseen. Ohjelmistokehyksen osana toteutettiin kaksi mobiiliagentti-ohjelmistoalustaa resurssirajoitteisille sulautetuille laitteille. Työssä tarkasteltiin mobiiliagentti-pohjaisten Esineiden Internet-sovellusten energiatehokkuutta simuloinneilla sekä tosielämän kokeilla. Tarkastelun kohteeksi valittiin joukkoistettu mobiilihavainnointi sekä reunalaskennan ulottaminen resurssirajoitteisiin laitteisiin. Saadut tulokset osoittavat, että laitteiden energiankulutusta voidaan pienentää verrattuna aiemmin esitettyihin ratkaisuihin hyödyntämällä mobiiliagentteja tiedonkäsittelyyn laitteessa sekä laitteen toiminnan ohjaamiseen. Työssä esitetty resurssisuuntautunut mobiiliagenttiarkkitehtuuri sekä ohjelmistokehys edesauttavat mobiiliagentti-teknologian hyödyntämistä resurssirajoitteisissa sulautetuissa laitteissa. Tosielämän kokeista saadut tulokset osoittavat mobiiliagenttiteknologian hyötyjä hajautettujen sovellusten toteuttamisessa Esineiden Internetiin.

Den här magisteruppsatsen består av en partiell översättning från japanska till svenska av IMAMURA Natsukos bok Kvinnan i den lila kjolen samt en översättningskommentar med fokus på kulturspecifika kategorier uttryckt i det japanska språket som egocentriciteten och andra kulturspecifika element i den japanska texten, de beskrivande onomatope (onomatopoetiska och mimetiska uttryck), och de västerländska låneordens förskjutningar (shifts) i en översättning. Dessa kategorier kan upplevas som svåra att översätta mellan två språk som ligger långt ifrån varandra. De teoretiska ramarna för uppsatsen lägger tyngdpunkten på riktningsekvivalens (directional equivalence), ett begrepp myntat av Anthony Pym, med fokus på likhet (similarities) i översättningen (Chesterman 1996), tillsammans med den etiska utgångspunkten representationell rättvisa (representational justice), beskrivet av Liu Yameng (2007). De utgör basen för översättningsmetoden och blir ledljus i översättningsval för översättning mellan språk i periferin av varandra. / This essay consists of a partial translation of IMAMURA Natsuko’s book The Woman In The Purple Skirt from Japanese to Swedish, together with a translation commentary focusing on egocentricity and other culture-specific concepts in Japanese texts, the descriptive onomatope (onomatopoetic and mimetic expressions) and the shifts in loanwords from western languages when translated. These categories are prone to cause issues when translating between languages so far removed from each other. The theoretical framework in this essay concentrates on directional equivalence, an expression coined by Anthony Pym, focusing on similarities in translations (Chesterman 1996) together with the ethical starting point representational justice as described by Liu Yameng (2007). These form the base for the translation method and serve as guiding lights in the choices made when translating between languages peripheral to each other.

No description available.

Dans les systèmes cognitifs, le rôle de la mémoire de travail est crucial pour le raisonnement visuel et la prise de décision. D’énormes progrès ont été réalisés dans la compréhension des mécanismes de la mémoire de travail humain/animal, ainsi que dans la formulation de différents cadres de réseaux de neurones artificiels à mémoire augmentée. L’objectif global de notre projet est de former des modèles de réseaux de neurones artificiels capables de consolider la mémoire sur une courte période de temps pour résoudre une tâche de mémoire et les relier à l’activité cérébrale des humains qui ont résolu la même tâche. Le projet est de nature interdisciplinaire en essayant de relier les aspects de l’intelligence artificielle (apprentissage profond) et des neurosciences. La tâche cognitive utilisée est la tâche N-back, très populaire en neurosciences cognitives dans laquelle les sujets sont présentés avec une séquence d’images, dont chacune doit être identifiée pour savoir si elle a déjà été vue ou non. L’ensemble de données d’imagerie fonctionnelle (IRMf) utilisé a été collecté dans le cadre du projet Courtois Neurmod. Nous étudions plusieurs variantes de modèles de réseaux neuronaux récurrents qui apprennent à résoudre la tâche de mémoire de travail N-back en les entraînant avec des séquences d’images. Ces réseaux de neurones entraînés optimisés pour la tâche de mémoire sont finalement utilisés pour générer des représentations de caractéristiques pour les images de stimuli vues par les sujets humains pendant leurs enregistrements tout en résolvant la tâche. Les représentations dérivées de ces réseaux de neurones servent ensuite à créer un modèle de codage pour prédire l’activité IRMf BOLD des sujets. On comprend alors la relation entre le modèle de réseau neuronal et l’activité cérébrale en analysant cette capacité prédictive du modèle dans différentes zones du cerveau impliquées dans la mémoire de travail. Ce travail présente une manière d’utiliser des réseaux de neurones artificiels pour modéliser le comportement et le traitement de l’information de la mémoire de travail du cerveau et d’utiliser les données d’imagerie cérébrale capturées sur des sujets humains lors de la tâche N-back pour potentiellement comprendre certains mécanismes de mémoire du cerveau en relation avec ces modèles de réseaux de neurones artificiels. / In cognitive systems, the role of working memory is crucial for visual reasoning and decision making. Tremendous progress has been made in understanding the mechanisms of the human/animal working memory, as well as in formulating different frameworks of memory augmented artificial neural networks. The overall objective of our project is to train artificial neural network models that are capable of consolidating memory over a short period of time to solve a memory task and relate them to the brain activity of humans who solved the same task. The project is of interdisciplinary nature in trying to bridge aspects of Artificial Intelligence (deep learning) and Neuroscience. The cognitive task used is the N-back task, a very popular one in Cognitive Neuroscience in which the subjects are presented with a sequence of images, each of which needs to be identified as to whether it was already seen or not. The functional imaging (fMRI) dataset used has been collected as a part of the Courtois Neurmod Project. We study multiple variants of recurrent neural network models that learn to remember input images across timesteps. These trained neural networks optimized for the memory task are ultimately used to generate feature representations for the stimuli images seen by the human subjects during their recordings while solving the task. The representations derived from these neural networks are then to create an encoding model to predict the fMRI BOLD activity of the subjects. We then understand the relationship between the neural network model and brain activity by analyzing this predictive ability of the model in different areas of the brain that are involved in working memory. This work presents a way of using artificial neural networks to model the behavior and information processing of the working memory of the brain and to use brain imaging data captured from human subjects during the N-back task to potentially understand some memory mechanisms of the brain in relation to these artificial neural network models.

Bildinformationen erweitern in der heutigen mediensaturierten Umwelt individuelle Erfahrungsräume und verändern so spezifische Wissensinhalte des Menschen. Um externe Repräsentationen als Quelle der Information nutzen zu können, müssen die internen Repräsentationen einen entsprechenden Entwicklungsstand erreicht haben. In den ersten vier Lebensjahren durchlaufen Kinder einen dreistufigen Entwicklungsprozess im repräsentationalen Denken (Perner, 1993) und jede Stufe befähigt sie, kompetenter mit externen Repräsentationen umzugehen. Denken Säuglinge im ersten Lebensjahr in primären Repräsentationen, so erreichen sie ab Mitte des zweiten Lebensjahres eine Entwicklungsstufe, die sie befähigt, multiple mentale Modelle zu gebrauchen, wodurch das Verstehen von Bildinhalten und -funktionen (DeLoache et al., 1998) möglich wird. Im vierten Lebensjahr bildet sich eine erweiterte kognitive Fähigkeit heraus - das Denken über Bilder auf Basis von Metarepräsentationen. Welche Determinanten das frühkindliche Bildverstehen bestimmen und wie sich die Entwicklung in den ersten zwei Lebensjahren vollzieht, wurde in der vorliegenden Dissertation aus theoretischer und empirischer Sicht untersucht. Der theoretische Teil der Arbeit thematisiert das Bildverstehen im Spannungsfeld zwischen repräsentationalen Denken und dem Gebrauch von Symbolen, bevor im empirischen Teil das Bildverstehen in den ersten zwei Lebensjahren auf Grundlage von drei Experimenten beschrieben wird. Im Fokus der Untersuchung standen die Wahrnehmung von zweidimensionalen Bildern und dreidimensionalen Referenten, die Bildhandhabung im Entwicklungsverlauf sowie das intentionale Bildverstehen. Hierfür wurden 92 Kinder zwischen 9 und 24 Monaten im Umgang mit Bildern beobachtet, das Verhalten analysiert und in Bezug auf eine stufenförmige Entwicklung interpretiert. Perners Einordnung des repräsentationalen Denkens in primäre, sekundäre und Metarepräsentationen (Perner, 1993) ließ sich anhand der Ergebnisse für die ersten zwei Lebensjahre abbilden. Das intentionale Bildverstehen konnte zudem als eine Zwischenstufe zwischen Perners sekundären Repräsentationen und Metarepräsentationen herausgestellt werden. Das Verstehen der Bildintention scheint für einen kompetenten Umgang mit Bildern eine zentrale Rolle zu spielen und sollte in zukünftigen entwicklungs- und medienpsychologischen Studien weiter thematisiert werden.

With the aim to embark on the theoretical debate on soft and hard power, this study uses the territorial dispute between the ROK and Japan over the Dokdo/Takeshima Islands to illustrate how the common scholarly understanding of the two power concepts are incorrect and misleading. While soft power and hard power are commonly recognized as two antithetical types of power within the theoretical debate, I argue that they are in fact linked and cannot be divided into separate forms of power. Using a Foucauldian approach to discourse analysis, the thesis replaces the concepts of soft power and hard power with the concepts of representational force and physical force to showcase how representational force can enable and legitimize the use of physical force. The thesis is able to identify how the governments of the ROK and Japan exercise representational force and legitimize the use of physical force against each other, despite them being in a trilateral security cooperation with the U.S. Consequently, the study illustrates how the concepts of soft and hard power should be better understood within the theoretical debate.

No description available.

<p>The purpose of this dissertation is to provide a proper treatment for two groups of logical paradoxes: semantic paradoxes and set-theoretic paradoxes. My main thesis is that the two different groups of paradoxes need different kinds of solution. Based on the analysis of the diagonal method and truth-gap theory, I propose a functional-deflationary interpretation for semantic notions such as ‘heterological’, ‘true’, ‘denote’, and ‘define’, and argue that the contradictions in semantic paradoxes are due to a misunderstanding of the non-representational nature of these semantic notions. Thus, they all can be solved by clarifying the relevant confusion: the liar sentence and the heterological sentence do not have truth values, and phrases generating paradoxes of definability (such as that in Berry’s paradox) do not denote an object. I also argue against three other leading approaches to the semantic paradoxes: the Tarskian hierarchy, contextualism, and the paraconsistent approach. I show that they fail to meet one or more criteria for a satisfactory solution to the semantic paradoxes. For the set-theoretic paradoxes, I argue that the criterion for a successful solution in the realm of set theory is mathematical usefulness. Since the standard solution, i.e. the axiomatic solution, meets this requirement, it should be accepted as a successful solution to the set-theoretic paradoxes.</p> / Doctor of Philosophy (PhD)