Diseño e implementación de un sistema de monitoreo de desempeño de una micro-red basada en paneles solares y turbinas eólicas

En el presente trabajo de tesis se diseñó e implementó un sistema de monitoreo de adquisición y registro de los parámetros eléctricos y atmosféricos para el control de desempeño de una micro-red eléctrica híbrida. Se propone un sistema que cumpla con los estándares, como la Comisión Electrotécnica Internacional (IEC por sus siglas en Inglés), que sea de bajo costo, debido a que su diseño cumple únicamente con lo estrictamente necesario para la adquisición de datos, para el tamaño de la micro-red eléctrica formada por paneles fotovoltaicos y turbinas eólicas de 12KW de potencia total, que se encuentra instalada en una zona costera de Lima, alejada del sistema eléctrico nacional y que provee de energía eléctrica a la población de la zona. En este documento se detalla el estudio realizado de las tecnologías existentes correspondientes al monitoreo de micro-redes eléctricas y el diseño del sistema. Concluyendo con su implementación y verificación de los resultados obtenidos mediante este sistema.Tesi

Why Scalings Matter?—an investigation of translators' adjustments of rhetorical force in English-Chinese translations

This thesis presents findings based on a study of the translation from English into (Mandarin) Chinese of those linguistic resources by which expressions can be up-scaled or down-scaled, and how translators of different Chinese translations dealt with utterances which included such scalings. The study involved three English advertisements of Apple products and their translations intended for the Hong Kong, Taiwan and Mainland China markets. The linguistic analysis employed for the project was grounded in Systemic Functional Linguistics (SFL) and specifically relied on the description of the meanings of up/down scaling outlined in the graduation system within the Appraisal framework of Martin and White (2005). Some significant degree of shifts of the meanings of scaling was noted, not only between the English original and Chinese translations but also among the regional translations themselves. A general tendency was observed by which the translators tended to provide additional instances of intensification or to further strengthen the existing instances of intensification. Since these meaning shifts were overwhelmingly in connection with utterances which provide positive assessments of the advertised products, it is proposed that they may result from the promotional purpose of boosting the desirability of the products for readers. These shifts were also observed to occur at different frequencies across the regional translations. Proposals are advanced as to the possibility that differences between the markets for which the translations were intended may have been a factor underlying these differences. As an interdisciplinary study, this study makes two major contributions. Firstly, to systematically identify the shifts of scaling in translations from English to Chinese, it was necessary for the project to provide an outline of the resources for realizing semantic features of graduation in Chinese. This is because no such outline had previously been developed for Chinese. The project extends our knowledge of graduation cross-linguistically in that it found the graduation networks in Chinese and English are broadly homologous. Secondly, it provides a systemic examination of the shifts involved in scaling expressions and explores possible factors which might be influencing translators’ decision-making; thus, the findings show potential application in translation education and translator training

Grasp-sensitive surfaces

Grasping objects with our hands allows us to skillfully move and manipulate them. Hand-held tools further extend our capabilities by adapting precision, power, and shape of our hands to the task at hand. Some of these tools, such as mobile phones or computer mice, already incorporate information processing capabilities. Many other tools may be augmented with small, energy-efficient digital sensors and processors. This allows for graspable objects to learn about the user grasping them - and supporting the user's goals. For example, the way we grasp a mobile phone might indicate whether we want to take a photo or call a friend with it - and thus serve as a shortcut to that action. A power drill might sense whether the user is grasping it firmly enough and refuse to turn on if this is not the case. And a computer mouse could distinguish between intentional and unintentional movement and ignore the latter. This dissertation gives an overview of grasp sensing for human-computer interaction, focusing on technologies for building grasp-sensitive surfaces and challenges in designing grasp-sensitive user interfaces. It comprises three major contributions: a comprehensive review of existing research on human grasping and grasp sensing, a detailed description of three novel prototyping tools for grasp-sensitive surfaces, and a framework for analyzing and designing grasp interaction: For nearly a century, scientists have analyzed human grasping. My literature review gives an overview of definitions, classifications, and models of human grasping. A small number of studies have investigated grasping in everyday situations. They found a much greater diversity of grasps than described by existing taxonomies. This diversity makes it difficult to directly associate certain grasps with users' goals. In order to structure related work and own research, I formalize a generic workflow for grasp sensing. It comprises *capturing* of sensor values, *identifying* the associated grasp, and *interpreting* the meaning of the grasp. A comprehensive overview of related work shows that implementation of grasp-sensitive surfaces is still hard, researchers often are not aware of related work from other disciplines, and intuitive grasp interaction has not yet received much attention. In order to address the first issue, I developed three novel sensor technologies designed for grasp-sensitive surfaces. These mitigate one or more limitations of traditional sensing techniques: **HandSense** uses four strategically positioned capacitive sensors for detecting and classifying grasp patterns on mobile phones. The use of custom-built high-resolution sensors allows detecting proximity and avoids the need to cover the whole device surface with sensors. User tests showed a recognition rate of 81%, comparable to that of a system with 72 binary sensors. **FlyEye** uses optical fiber bundles connected to a camera for detecting touch and proximity on arbitrarily shaped surfaces. It allows rapid prototyping of touch- and grasp-sensitive objects and requires only very limited electronics knowledge. For FlyEye I developed a *relative calibration* algorithm that allows determining the locations of groups of sensors whose arrangement is not known. **TDRtouch** extends Time Domain Reflectometry (TDR), a technique traditionally used for inspecting cable faults, for touch and grasp sensing. TDRtouch is able to locate touches along a wire, allowing designers to rapidly prototype and implement modular, extremely thin, and flexible grasp-sensitive surfaces. I summarize how these technologies cater to different requirements and significantly expand the design space for grasp-sensitive objects. Furthermore, I discuss challenges for making sense of raw grasp information and categorize interactions. Traditional application scenarios for grasp sensing use only the grasp sensor's data, and only for mode-switching. I argue that data from grasp sensors is part of the general usage context and should be only used in combination with other context information. For analyzing and discussing the possible meanings of grasp types, I created the GRASP model. It describes five categories of influencing factors that determine how we grasp an object: *Goal* -- what we want to do with the object, *Relationship* -- what we know and feel about the object we want to grasp, *Anatomy* -- hand shape and learned movement patterns, *Setting* -- surrounding and environmental conditions, and *Properties* -- texture, shape, weight, and other intrinsics of the object I conclude the dissertation with a discussion of upcoming challenges in grasp sensing and grasp interaction, and provide suggestions for implementing robust and usable grasp interaction.Die Fähigkeit, Gegenstände mit unseren Händen zu greifen, erlaubt uns, diese vielfältig zu manipulieren. Werkzeuge erweitern unsere Fähigkeiten noch, indem sie Genauigkeit, Kraft und Form unserer Hände an die Aufgabe anpassen. Digitale Werkzeuge, beispielsweise Mobiltelefone oder Computermäuse, erlauben uns auch, die Fähigkeiten unseres Gehirns und unserer Sinnesorgane zu erweitern. Diese Geräte verfügen bereits über Sensoren und Recheneinheiten. Aber auch viele andere Werkzeuge und Objekte lassen sich mit winzigen, effizienten Sensoren und Recheneinheiten erweitern. Dies erlaubt greifbaren Objekten, mehr über den Benutzer zu erfahren, der sie greift - und ermöglicht es, ihn bei der Erreichung seines Ziels zu unterstützen. Zum Beispiel könnte die Art und Weise, in der wir ein Mobiltelefon halten, verraten, ob wir ein Foto aufnehmen oder einen Freund anrufen wollen - und damit als Shortcut für diese Aktionen dienen. Eine Bohrmaschine könnte erkennen, ob der Benutzer sie auch wirklich sicher hält und den Dienst verweigern, falls dem nicht so ist. Und eine Computermaus könnte zwischen absichtlichen und unabsichtlichen Mausbewegungen unterscheiden und letztere ignorieren. Diese Dissertation gibt einen Überblick über Grifferkennung (*grasp sensing*) für die Mensch-Maschine-Interaktion, mit einem Fokus auf Technologien zur Implementierung griffempfindlicher Oberflächen und auf Herausforderungen beim Design griffempfindlicher Benutzerschnittstellen. Sie umfasst drei primäre Beiträge zum wissenschaftlichen Forschungsstand: einen umfassenden Überblick über die bisherige Forschung zu menschlichem Greifen und Grifferkennung, eine detaillierte Beschreibung dreier neuer Prototyping-Werkzeuge für griffempfindliche Oberflächen und ein Framework für Analyse und Design von griff-basierter Interaktion (*grasp interaction*). Seit nahezu einem Jahrhundert erforschen Wissenschaftler menschliches Greifen. Mein Überblick über den Forschungsstand beschreibt Definitionen, Klassifikationen und Modelle menschlichen Greifens. In einigen wenigen Studien wurde bisher Greifen in alltäglichen Situationen untersucht. Diese fanden eine deutlich größere Diversität in den Griffmuster als in existierenden Taxonomien beschreibbar. Diese Diversität erschwert es, bestimmten Griffmustern eine Absicht des Benutzers zuzuordnen. Um verwandte Arbeiten und eigene Forschungsergebnisse zu strukturieren, formalisiere ich einen allgemeinen Ablauf der Grifferkennung. Dieser besteht aus dem *Erfassen* von Sensorwerten, der *Identifizierung* der damit verknüpften Griffe und der *Interpretation* der Bedeutung des Griffes. In einem umfassenden Überblick über verwandte Arbeiten zeige ich, dass die Implementierung von griffempfindlichen Oberflächen immer noch ein herausforderndes Problem ist, dass Forscher regelmäßig keine Ahnung von verwandten Arbeiten in benachbarten Forschungsfeldern haben, und dass intuitive Griffinteraktion bislang wenig Aufmerksamkeit erhalten hat. Um das erstgenannte Problem zu lösen, habe ich drei neuartige Sensortechniken für griffempfindliche Oberflächen entwickelt. Diese mindern jeweils eine oder mehrere Schwächen traditioneller Sensortechniken: **HandSense** verwendet vier strategisch positionierte kapazitive Sensoren um Griffmuster zu erkennen. Durch die Verwendung von selbst entwickelten, hochauflösenden Sensoren ist es möglich, schon die Annäherung an das Objekt zu erkennen. Außerdem muss nicht die komplette Oberfläche des Objekts mit Sensoren bedeckt werden. Benutzertests ergaben eine Erkennungsrate, die vergleichbar mit einem System mit 72 binären Sensoren ist. **FlyEye** verwendet Lichtwellenleiterbündel, die an eine Kamera angeschlossen werden, um Annäherung und Berührung auf beliebig geformten Oberflächen zu erkennen. Es ermöglicht auch Designern mit begrenzter Elektronikerfahrung das Rapid Prototyping von berührungs- und griffempfindlichen Objekten. Für FlyEye entwickelte ich einen *relative-calibration*-Algorithmus, der verwendet werden kann um Gruppen von Sensoren, deren Anordnung unbekannt ist, semi-automatisch anzuordnen. **TDRtouch** erweitert Time Domain Reflectometry (TDR), eine Technik die üblicherweise zur Analyse von Kabelbeschädigungen eingesetzt wird. TDRtouch erlaubt es, Berührungen entlang eines Drahtes zu lokalisieren. Dies ermöglicht es, schnell modulare, extrem dünne und flexible griffempfindliche Oberflächen zu entwickeln. Ich beschreibe, wie diese Techniken verschiedene Anforderungen erfüllen und den *design space* für griffempfindliche Objekte deutlich erweitern. Desweiteren bespreche ich die Herausforderungen beim Verstehen von Griffinformationen und stelle eine Einteilung von Interaktionsmöglichkeiten vor. Bisherige Anwendungsbeispiele für die Grifferkennung nutzen nur Daten der Griffsensoren und beschränken sich auf Moduswechsel. Ich argumentiere, dass diese Sensordaten Teil des allgemeinen Benutzungskontexts sind und nur in Kombination mit anderer Kontextinformation verwendet werden sollten. Um die möglichen Bedeutungen von Griffarten analysieren und diskutieren zu können, entwickelte ich das GRASP-Modell. Dieses beschreibt fünf Kategorien von Einflussfaktoren, die bestimmen wie wir ein Objekt greifen: *Goal* -- das Ziel, das wir mit dem Griff erreichen wollen, *Relationship* -- das Verhältnis zum Objekt, *Anatomy* -- Handform und Bewegungsmuster, *Setting* -- Umgebungsfaktoren und *Properties* -- Eigenschaften des Objekts, wie Oberflächenbeschaffenheit, Form oder Gewicht. Ich schließe mit einer Besprechung neuer Herausforderungen bei der Grifferkennung und Griffinteraktion und mache Vorschläge zur Entwicklung von zuverlässiger und benutzbarer Griffinteraktion

Authentication Aura: A cooperative and distributed approach to user authentication on mobile devices

As information technology pervades our lives we have increasingly come to rely on these evermore sophisticated and ubiquitous items of equipment. Portability and the desire to be connected around the clock has driven the rapid growth in adoption of mobile devices that enable us to talk, message, tweet and inform at will, whilst providing a means to shop and administer bank accounts. These high value, high risk, desirable devices are increasingly the target of theft and improvement in their protection is actively sought by Governments and security agencies. Although forms of security are in place they are compromised by human reluctance and inability to administer them effectively. With typical users operating across multiple devices, including traditional desktop PCs, laptops, tablets and smartphones, they can regularly find themselves having a variety of devices open concurrently. Even if the most basic security is in place, there is a resultant need to repeatedly authenticate, representing a potential source of hindrance and frustration. This thesis explores the need for a novel approach to user authentication, which will reduce the authentication burden whilst providing a secure yet adaptive security mechanism; a so called Authentication Aura. It proposes that the latent security potential contained in surrounding devices and possessions in everyday life can be leveraged to augment security, and provides a framework for a distributed and cooperative approach. An experiment was performed to ascertain the technological infrastructure, devices and inert objects that surround individuals throughout the day. Using twenty volunteers, over a fourteen-day period a dataset of 1.57 million recorded observations was gathered, which confirmed that between 6am and 12pm a significant device or possession is in near proximity 97.84% of the time. Using the data provided by the experiment as the basis for a simulation of the framework, it suggests a reduction of up to 80.36% in the daily number of required authentications for a user operating a device once every 30 minutes, with a 10 minute screen lock in place. Examining the influence of location alone indicated a reduction of 50.74% in user interventions lowering the average from 32 to 15.76, the addition of the surroundings reducing this further to 13.00. The analysis also investigated how a user’s own authentication status could be used to negate the need to repeatedly manually authenticate and it was found that it delayed the process for up to 90 minutes for an individual user. Ultimately, it confirms that during device activation it is possible to remove the need to authenticate with the Authentication Aura providing sufficient assurance.Orange/France Teleco

Mobile commerce business models and technologies towards success

Mobile commerce is any transaction with a monetary value that is conducted via a mobile telecommunications network. This thesis tries to examine the factors leading to the success of mobile commerce as well as factors that may hinder its success. This research is separated into five parts: In the first part of this thesis, an analysis of wired e-commerce businesses is made; followed by advantages of mobile commerce over wired e-commerce. In the second part of this thesis, new wireless business models that are expected to generate substantial revenue flows as well as some successful examples of these business models are discussed. In the third part of this thesis, advances in wireless technologies that will lead to the success of mobile commerce are discussed. In the fourth part of this thesis, competition strategies and revenue structure of mobile commerce are discussed. And finally, in the fifth part of this thesis, drawbacks of wireless technologies towards the success of mobile commerce as well as how they can be overcome are discussed. The research and the conclusion suggest that although wireless technologies and their related business models are fairly new, they are growing at rapid speed. These are incredible sources of revenue. Once the factors hindering their usability, reliability, development and deployment are overcome, mobile technologies show great potential as revenue generators for both existing and newly developing businesse

Architecture and Remote Interaction Techniques for Digital Media Exchange across 3G Mobile Devices

For users away from the office or home, there is an increasing demand for mobile solutions that offer effective collaborative facilities on the move. The mobile cellular device, or “smart phone”, can offer a ubiquitous platform to deliver such services, provided that its many physical and technological constraints can be overcome. In an effort to better support mobile collaboration, this thesis presents a contributing Mobile Exchange Architecture (MEA) designed to improve upon the capabilities provided by mobile devices to enable synchronous exchange of digital media during a phone conversation using wireless networks and cellular devices. This research includes the design and development of one such MEA in the form of a fully functional Photo-conferencing service, supporting shared remote interaction techniques, simultaneous voice communication and seamless digital media exchange between remote and collocated mobile users. Furthermore, through systematic design, experimental evaluations and field studies we evaluate the effects of different shared remote interaction techniques – 'pointing', 'scaling', 'mixed' and 'hybrid' – assessing the task effort required by users when interacting around shared images across resource constrained mobile devices. This thesis presents a direction for the future development of technologies and methods to enable a new era of scalable always-to-hand mobile collaborative environments.EThOS - Electronic Theses Online ServiceGBUnited Kingdo