Confidence: dependencies and their critical role in fostering user acceptance in pervasive applications

Pervasive computing offers new scenarios where users are surrounded by invisible and proactive technology making smart spaces. Although the utility and power of solutions developed using this computer paradigm are proved, there are unresolved problems that hinder their acceptance and inclusion in our private life. Users have problems understanding the operations of a pervasive computing solution, and therefore they should trust that the solution works properly and according to their expectations. Nevertheless, the concept of trust is already framed in a specific use within the ecosystem of applications that can populate a smart space. To take this concept of trust to the whole space, we propose to study and define the concept of confidence. In contrast to the concept of trust, confidence has deeper psychological implications.

Hammer: an Android based application for end-user industrial robot programming

This paper presents a novel tablet based end-user interface for industrial robot programming (called Hammer). This application makes easier to program tasks for industrial robots like polishing, milling or grinding. It is based on the Scratch programming language, but specifically design and created for Android OS. It is a visual programming concept that allows non-skilled programmer operators to create programs. The application also allows to monitor the tasks while it is being executed by overlapping real time information through augmented reality. The application includes a teach pendant screen that can be customized according to the operator needs at every moment.

HDTourist: exploring urban data on Android

The Web of Data currently comprises ? 62 billion triples from more than 2,000 different datasets covering many fields of knowledge3. This volume of structured Linked Data can be seen as a particular case of Big Data, referred to as Big Semantic Data [4]. Obviously, powerful computational configurations are tradi- tionally required to deal with the scalability problems arising to Big Semantic Data. It is not surprising that this ?data revolution? has competed in parallel with the growth of mobile computing. Smartphones and tablets are massively used at the expense of traditional computers but, to date, mobile devices have more limited computation resources. Therefore, one question that we may ask ourselves would be: can (potentially large) semantic datasets be consumed natively on mobile devices? Currently, only a few mobile apps (e.g., [1, 9, 2, 8]) make use of semantic data that they store in the mobile devices, while many others access existing SPARQL endpoints or Linked Data directly. Two main reasons can be considered for this fact. On the one hand, in spite of some initial approaches [6, 3], there are no well-established triplestores for mobile devices. This is an important limitation because any po- tential app must assume both RDF storage and SPARQL resolution. On the other hand, the particular features of these devices (little storage space, less computational power or more limited bandwidths) limit the adoption of seman- tic data for different uses and purposes. This paper introduces our HDTourist mobile application prototype. It con- sumes urban data from DBpedia4 to help tourists visiting a foreign city. Although it is a simple app, its functionality allows illustrating how semantic data can be stored and queried with limited resources. Our prototype is implemented for An- droid, but its foundations, explained in Section 2, can be deployed in any other platform. The app is described in Section 3, and Section 4 concludes about our current achievements and devises the future work.

Multisensor data fusion for accurate modelling of mobile objects

In the last decade, multi-sensor data fusion has become a broadly demanded discipline to achieve advanced solutions that can be applied in many real world situations, either civil or military. In Defence,accurate detection of all target objects is fundamental to maintaining situational awareness, to locating threats in the battlefield and to identifying and protecting strategically own forces. Civil applications, such as traffic monitoring, have similar requirements in terms of object detection and reliable identification of incidents in order to ensure safety of road users. Thanks to the appropriate data fusion technique, we can give these systems the power to exploit automatically all relevant information from multiple sources to face for instance mission needs or assess daily supervision operations. This paper focuses on its application to active vehicle monitoring in a particular area of high density traffic, and how it is redirecting the research activities being carried out in the computer vision, signal processing and machine learning fields for improving the effectiveness of detection and tracking in ground surveillance scenarios in general. Specifically, our system proposes fusion of data at a feature level which is extracted from a video camera and a laser scanner. In addition, a stochastic-based tracking which introduces some particle filters into the model to deal with uncertainty due to occlusions and improve the previous detection output is presented in this paper. It has been shown that this computer vision tracker contributes to detect objects even under poor visual information. Finally, in the same way that humans are able to analyze both temporal and spatial relations among items in the scene to associate them a meaning, once the targets objects have been correctly detected and tracked, it is desired that machines can provide a trustworthy description of what is happening in the scene under surveillance. Accomplishing so ambitious task requires a machine learning-based hierarchic architecture able to extract and analyse behaviours at different abstraction levels. A real experimental testbed has been implemented for the evaluation of the proposed modular system. Such scenario is a closed circuit where real traffic situations can be simulated. First results have shown the strength of the proposed system.

Aplicación de lectoescritura para dispositivos con Sistema Operativo Android

El presente proyecto pretende ser una herramienta para la enseñanza de la lectoescritura (enseñar a leer y a escribir) para niños con discapacidad, haciendo para ello uso de una aplicación que se ejecuta en una tablet con Sistema Operativo (S.O.) Android. Existe un vacío en el mundo de las aplicaciones para tabletas en este campo en el que se intentará poner un grano de arena para, al menos, tener una aplicación que sirva de toma de contacto a los interesados en este campo. Para establecer las funcionalidades más adecuadas al propósito de la herramienta, se ha consultado a profesionales de la logopedia de un colegio de educación especial, con cuya colaboración se ha dado forma a la estructura de la misma. La implementación de la aplicación se ha llevado a cabo con programación en entorno Java para Android. Se han incluido diferentes recursos como imágenes, pictogramas y locuciones tanto elementos con licencia libre, como elementos propios generados ‘ex profeso’ para dar la forma final a la herramienta. Podemos decir que en general esta aplicación puede ser usada para enseña a leer y escribir a cualquier niño, pero se ha dotado de unas ciertas características que la confieren una orientación especial hacia niños con necesidades educativas especiales. Para ello se ha cuidado mucho la estética, para que ésta sea lo más simple y suave posible, para hacer especial hincapié en la atención de los niños y evitar su distracción con elementos visuales innecesarios. Se ha dotado de estímulos visuales y sonoros para fomentar su interés (aplausos en caso de acierto, colores para diferenciar aciertos y errores, etc.). Se han utilizado los tamaños de letra más grandes posibles (para las discapacidades visuales), etc. El mercado cuenta con una ingente cantidad de dispositivos Android, con características muy dispares, de tamaño de pantalla, resolución y versiones del S.O. entre otras. La aplicación se ha desarrollado tratando de dar cobertura al mayor porcentaje de ellos posible. El requisito mínimo de tamaño de pantalla sería de siete pulgadas. Esta herramienta no tiene demasiado sentido en dispositivos con pantallas menores por las características intrínsecas de la misma. No obstante se ha trabajado también en la configuración para dispositivos pequeños, como “smartphones”, no por su valor como herramienta para la enseñanza de la lectoescritura (aunque en algunos casos podría ser viable) sino más bien con fines de prueba y entrenamiento para profesores, padres o tutores que realizarán la labor docente con dispositivos tablet. Otro de los requisitos, como se ha mencionado, para poder ejecutar la aplicación sería la versión mínima de S.O., por debajo de la cual (versiones muy obsoletas) la aplicación sería inviable. Sirva este proyecto pues para cubrir, mediante el uso de la tecnología, un aspecto de la enseñanza con grandes oportunidades de mejora. ----------------------- This Project is aimed to be a tool for teaching reading and writing skills to handicapped children with an Android application. There are no Android applications available on this field, so it is intended to provide at least one option to take contact with. Speech therapy professionals from a special needs school have been asked for the most suitable functions to be included in this tool. The structure of this tool has been made with the cooperation of these professionals. The implementation of the application has been performed through Java coding for Android. Different resources have been included such as pictures, pictograms and sounds, including free licenses resources and self-developed resources. In general, it can be said that this application can be used to teach learning and writing skills to any given kid, however it has been provided of certain features that makes it ideal for children with special educational needs. It has been strongly taken into account the whole aesthetic to be as simple and soft as possible, in order to get attention of children, excluding any visual disturbing elements. It has been provided with sound and visual stimulations, to attract their interest (applauses in cases of correct answers, different colours to differentiate right or wrong answers), etc. There are many different types of Android devices, with very heterogeneous features regarding their screen size, resolution and O.S. version, etc., available today. The application has been developed trying to cover most of them. Minimum screen resolution is seven inches. This tool doesn’t seem to be very useful for smaller screens, for its inner features. Nevertheless, it has been developed for smaller devices as well, like smartphones, not intended to be a tool for teaching reading and writing skills (even it could be possible in some cases), but in a test and training context for teachers, parents or guardians who do the teaching work with tablet devices. Another requirement, as stated before, in order to be able to run the application, it would be the minimum O.S. version, below that (very obsolete versions) the application would become impracticable. Hope this project to be used to fulfill, by means of technology, one area of teaching with great improvement opportunities.

Aplicación de lectoescritura para dispositivos con Sistema Operativo Android

El presente proyecto pretende ser una herramienta para la enseñanza de la lectoescritura (enseñar a leer y a escribir) para niños con discapacidad, haciendo para ello uso de una aplicación que se ejecuta en una tablet con Sistema Operativo (S.O.) Android. Existe un vacío en el mundo de las aplicaciones para tabletas en este campo en el que se intentará poner un grano de arena para, al menos, tener una aplicación que sirva de toma de contacto a los interesados en este campo. Para establecer las funcionalidades más adecuadas al propósito de la herramienta, se ha consultado a profesionales de la logopedia de un colegio de educación especial, con cuya colaboración se ha dado forma a la estructura de la misma. La implementación de la aplicación se ha llevado a cabo con programación en entorno Java para Android. Se han incluido diferentes recursos como imágenes, pictogramas y locuciones tanto elementos con licencia libre, como elementos propios generados ‘ex profeso’ para dar la forma final a la herramienta. Podemos decir que en general esta aplicación puede ser usada para enseña a leer y escribir a cualquier niño, pero se ha dotado de unas ciertas características que la confieren una orientación especial hacia niños con necesidades educativas especiales. Para ello se ha cuidado mucho la estética, para que ésta sea lo más simple y suave posible, para hacer especial hincapié en la atención de los niños y evitar su distracción con elementos visuales innecesarios. Se ha dotado de estímulos visuales y sonoros para fomentar su interés (aplausos en caso de acierto, colores para diferenciar aciertos y errores, etc.). Se han utilizado los tamaños de letra más grandes posibles (para las discapacidades visuales), etc. El mercado cuenta con una ingente cantidad de dispositivos Android, con características muy dispares, de tamaño de pantalla, resolución y versiones del S.O. entre otras. La aplicación se ha desarrollado tratando de dar cobertura al mayor porcentaje de ellos posible. El requisito mínimo de tamaño de pantalla sería de siete pulgadas. Esta herramienta no tiene demasiado sentido en dispositivos con pantallas menores por las características intrínsecas de la misma. No obstante se ha trabajado también en la configuración para dispositivos pequeños, como “smartphones”, no por su valor como herramienta para la enseñanza de la lectoescritura (aunque en algunos casos podría ser viable) sino más bien con fines de prueba y entrenamiento para profesores, padres o tutores que realizarán la labor docente con dispositivos tablet. Otro de los requisitos, como se ha mencionado, para poder ejecutar la aplicación sería la versión mínima de S.O., por debajo de la cual (versiones muy obsoletas) la aplicación sería inviable. Sirva este proyecto pues para cubrir, mediante el uso de la tecnología, un aspecto de la enseñanza con grandes oportunidades de mejora. ABSTRACT. This Project is aimed to be a tool for teaching reading and writing skills to handicapped children with an Android application. There are no Android applications available on this field, so it is intended to provide at least one option to take contact with. Speech therapy professionals from a special needs school have been asked for the most suitable functions to be included in this tool. The structure of this tool has been made with the cooperation of these professionals. The implementation of the application has been performed through Java coding for Android. Different resources have been included such as pictures, pictograms and sounds, including free licenses resources and self-developed resources. In general, it can be said that this application can be used to teach learning and writing skills to any given kid, however it has been provided of certain features that makes it ideal for children with special educational needs. It has been strongly taken into account the whole aesthetic to be as simple and soft as possible, in order to get attention of children, excluding any visual disturbing elements. It has been provided with sound and visual stimulations, to attract their interest (applauses in cases of correct answers, different colours to differentiate right or wrong answers), etc. There are many different types of Android devices, with very heterogeneous features regarding their screen size, resolution and O.S. version, etc., available today. The application has been developed trying to cover most of them. Minimum screen resolution is seven inches. This tool doesn’t seem to be very useful for smaller screens, for its inner features. Nevertheless, it has been developed for smaller devices as well, like smartphones, not intended to be a tool for teaching reading and writing skills (even it could be possible in some cases), but in a test and training context for teachers, parents or guardians who do the teaching work with tablet devices. Another requirement, as stated before, in order to be able to run the application, it would be the minimum O.S. version, below that (very obsolete versions) the application would become impracticable. Hope this project to be used to fulfill, by means of technology, one area of teaching with great improvement opportunities.

Diseño e implementación de una aplicación de detección como elemento de realidad aumentada en automóviles

En este proyecto se realiza el diseño y la implementación de un sistema que genera realidad aumentada, mediante la detección de vehículos que se encuentran en una trayectoria, y sirve de base para la conducción autónoma en vehículospara ambientes nocturnos ya que se ha observado mediante el estudio del arte que no existen aplicaciones de este tipo en dichas condiciones. La implementación de dicho sistema se realiza mediante una aplicación móvil en el sistema operativo de Android, que se apoya en sus librerías para el uso de sensores y la creación de menús, y las de OpenCV para el tratamiento de las imágenes. Además, se han realizado una serie de pruebas para demostrar la validez y la eficiencia de dicho algoritmo y se presenta al usuario mediante una aplicación de fácil manejo y uso en un dispositivo móvil. ABSTRACT. This project is about the design and implemantation of a system which generates augmented reality by detecting vehicles that stand along a followed trayectory, working out the basis for autonomus driving in night environments, because it was noticed that any other applications exist for this particular purpose, under the given circumstances. Implementation works through an Android mobile application, and learns over this operative system libraries in order to work with sensors, menu configurations, and OpenCV for image processing. A number of tests were run to prove the algorithm right and efficient; and it is introduced to the users via an easy-to-use app on a mobile device.

Diseño e implementación de una aplicación de detección como elemento de realidad aumentada en automóviles

En este proyecto se realiza el diseño y la implementación de un sistema que genera realidad aumentada, mediante la detección de vehículos que se encuentran en una trayectoria, y sirve de base para la conducción autónoma en vehículospara ambientes nocturnos ya que se ha observado mediante el estudio del arte que no existen aplicaciones de este tipo en dichas condiciones. La implementación de dicho sistema se realiza mediante una aplicación móvil en el sistema operativo de Android, que se apoya en sus librerías para el uso de sensores y la creación de menús, y las de OpenCV para el tratamiento de las imágenes. Además, se han realizado una serie de pruebas para demostrar la validez y la eficiencia de dicho algoritmo y se presenta al usuario mediante una aplicación de fácil manejo y uso en un dispositivo móvil. ABSTRACT. This project is about the design and implemantation of a system which generates augmented reality by detecting vehicles that stand along a followed trayectory, working out the basis for autonomus driving in night environments, because it was noticed that any other applications exist for this particular purpose, under the given circumstances. Implementation works through an Android mobile application, and learns over this operative system libraries in order to work with sensors, menu configurations, and OpenCV for image processing. A number of tests were run to prove the algorithm right and efficient; and it is introduced to the users via an easy-to-use app on a mobile device.

Control remoto de presentaciones mediante Raspberry PI y Android

Este proyecto fin de carrera trata de mejorar los sistemas actuales de control en la visualización de diapositivas. La solución adoptada constará de un sistema con modelo cliente-servidor. El servidor formado por un mini ordenador, en este caso una Raspberry Pi, que estará conectado al proyector de video. Este servidor se mantendrá a la espera de recibir una conexión entrante vía Bluetooth. Una vez se realice la conexión interpretará los comandos mandados por el cliente a través de una API con formato JSON y realizará las acciones indicadas para el control de la presentación. El cliente será una aplicación móvil para dispositivos Android. A través de ella el profesor accederá al servidor escaneando un código QR que será proyectado y una vez conectado enviará los comandos de control de la presentación, tales como abrir una presentación, avanzar y retroceder diapositiva, etc. La solución final deberá ser eficiente, sencilla de utilizar y con un bajo coste para resultar atractiva y ser así útil en el mundo real. Para ello se contará con valores añadidos como el poder iniciar la presentación desde el dispositivo móvil, el mostrar las notas de la diapositiva actual o contar con un temporizador para permitir un mejor control sobre el tiempo disponible para la presentación. ABSTRACT. This final project pursues the improvement of the current presentation control systems. The solution it provides is based on a server-client architecture. The server will be a mini PC, a Raspberry Pi model in this case, that will be connected to a video projector or a screen monitor. This server will remain idle waiting for an incoming Bluetooth connection. Once the connection is accepted the server will parse the commands sent by the client through a JSON API and will execute them accordingly to control the system. The client we decided to develop is an Android application. The speaker will be able to connect with the server by scanning a QR code that will be generated and displayed into the projector or screen monitor. Once the connection is accepted the client will sent the commands to control the slides, such as opening a presentation, move forward and backwards, etc. The adopted solution must be efficient, easy to use and with low cost to be appealing and useful to the real world. To accomplish the task this project will count with improvements over the current systems, such as the possibility to open a presentation from the smartphone, the visualization of the current slide notes from the mobile phone and a countdown timer to have a better control over the available time for the presentation.

Aplicación Android para el aprendizaje de inglés nivel B2 : extensión del ILLLab

Desde el inicio de la globalización, el aprendizaje de la lengua inglesa se ha instaurado como una necesidad. Hoy en día, con la adopción del Espacio Europeo de Educación Superior este lenguaje no sólo se impone como un requisito para los estudiantes sino que se exige un nivel B2, lo cual significa un esfuerzo mayor tanto como para el alumno como para el profesor a la hora de hacer de este ejercicio un hábito y lograr la evaluación continua de los mismos. Este proyecto intenta extender las funcionalidades de una aplicación existente llamada Illlab con ejercicios que se adapten al nivel B2 y permitan la interacción entre alumnos durante la realización de estos ejercicios. El objetivo de esta aplicación es el de desarrollar ejercicios extra en la aplicación Illlab que añadan complejidad para el aprendizaje de inglés de un nivel B2 y que además se puedan realizar actividades entre los alumnos. La idea es hacer una aplicación de preguntas y respuestas “multiple choice” con cuatro opciones por pregunta. El fuerte de este juego está en presentar material variado sobre uso de la lengua y además permitir el juego entre varios alumnos. La extensión de ILLLab se plantea como un proyecto para desarrollar interfaces y funcionalidades adicionales en la antigua aplicación. La principal funcionalidad que se añade es un juego de preguntas y respuestas con opciones múltiples para un nivel B2 y las interfaces responden a necesidades de intercambio y manejo de contenido por Internet mediante estándares aceptados en el mundo del aprendizaje digital tales como Common Cartridge o SCORM. Este proyecto simplemente adapta la aplicación para su uso en un entorno de evaluación de actividades en el cual el profesor tiene acceso a las actividades que realizan los alumnos de un curso para su posterior evaluación. Antiguamente ILLLab sólo contenía ejercicios que se llevaban a cabo en el dispositivo móvil por lo que el control de estas actividades no era posible. La mejora se presenta como una interfaz Common Cartridge para el manejo del contenido, una interfaz de comunicación sobre servicios web tipo REST y el manejo de base de datos mediante Hibernate que agrupa una serie de librerías Java para la persistencia de objetos de la base de datos. ABSTRACT. Since the onset of globalization, the learning of the English language has become as a necessity. Today, with the adoption of the European Higher Education Area this language is not only imposed as a requirement for students but a B2 level is required, which means a greater effort both to the student and teacher when it comes to make the learning exercise a habit and achieve continuous evaluation of students. This project aims to extend the functionality of an existing application called Illlab with an exercise that suits the B2 level and allow interaction between students while performing these exercises. The purpose of this application is to develop an additional exercise in the application Illlab that adds complexity for learning English at B2 level and also enables the interaction among students. The main idea is to make an application in multiple choices style with four options. The strength of this game is to present varied material on use of Enlgish and also allow play between two students. ILLLab extension is conceived as a project to develop interfaces and additional functionalities in the old application. The main functionalities added are a game of questions and answers with multiple choices for a B2 level and interfaces that meet information exchange requirements and content management over the Internet using standards adopted in the world of digital learning such as Common Cartridge or SCORM. This project simply adapts the application for its use in an activities evaluation environment in which the teacher has access to the activities performed by students in a course for further evaluation. The former versión of ILLLab contained only exercises that were carried out on the mobile device so that the evaluation of these activities was not possible. The improvement comes as a Common Cartridge interface for content management, a communication interface with REST web services and a database access using Hibernate which groups a number of Java libraries for object persistence in the database.

Military and government applications of human-machine communication by voice.

This paper describes a range of opportunities for military and government applications of human-machine communication by voice, based on visits and contacts with numerous user organizations in the United States. The applications include some that appear to be feasible by careful integration of current state-of-the-art technology and others that will require a varying mix of advances in speech technology and in integration of the technology into applications environments. Applications that are described include (1) speech recognition and synthesis for mobile command and control; (2) speech processing for a portable multifunction soldier's computer; (3) speech- and language-based technology for naval combat team tactical training; (4) speech technology for command and control on a carrier flight deck; (5) control of auxiliary systems, and alert and warning generation, in fighter aircraft and helicopters; and (6) voice check-in, report entry, and communication for law enforcement agents or special forces. A phased approach for transfer of the technology into applications is advocated, where integration of applications systems is pursued in parallel with advanced research to meet future needs.

Flexible Framework for Real-Time Embedded Systems Based on Mobile Cloud Computing Paradigm

The development of applications as well as the services for mobile systems faces a varied range of devices with very heterogeneous capabilities whose response times are difficult to predict. The research described in this work aims to respond to this issue by developing a computational model that formalizes the problem and that defines adjusting computing methods. The described proposal combines imprecise computing strategies with cloud computing paradigms in order to provide flexible implementation frameworks for embedded or mobile devices. As a result, the imprecise computation scheduling method on the workload of the embedded system is the solution to move computing to the cloud according to the priority and response time of the tasks to be executed and hereby be able to meet productivity and quality of desired services. A technique to estimate network delays and to schedule more accurately tasks is illustrated in this paper. An application example in which this technique is experimented in running contexts with heterogeneous work loading for checking the validity of the proposed model is described.

Towards a real-time 3D object recognition pipeline on mobile GPGPU computing platforms using low-cost RGB-D sensors

In this project, we propose the implementation of a 3D object recognition system which will be optimized to operate under demanding time constraints. The system must be robust so that objects can be recognized properly in poor light conditions and cluttered scenes with significant levels of occlusion. An important requirement must be met: the system must exhibit a reasonable performance running on a low power consumption mobile GPU computing platform (NVIDIA Jetson TK1) so that it can be integrated in mobile robotics systems, ambient intelligence or ambient assisted living applications. The acquisition system is based on the use of color and depth (RGB-D) data streams provided by low-cost 3D sensors like Microsoft Kinect or PrimeSense Carmine. The range of algorithms and applications to be implemented and integrated will be quite broad, ranging from the acquisition, outlier removal or filtering of the input data and the segmentation or characterization of regions of interest in the scene to the very object recognition and pose estimation. Furthermore, in order to validate the proposed system, we will create a 3D object dataset. It will be composed by a set of 3D models, reconstructed from common household objects, as well as a handful of test scenes in which those objects appear. The scenes will be characterized by different levels of occlusion, diverse distances from the elements to the sensor and variations on the pose of the target objects. The creation of this dataset implies the additional development of 3D data acquisition and 3D object reconstruction applications. The resulting system has many possible applications, ranging from mobile robot navigation and semantic scene labeling to human-computer interaction (HCI) systems based on visual information.

Edge caching with mobility prediction in virtualized LTE mobile networks

Abstract Mobile Edge Computing enables the deployment of services, applications, content storage and processing in close proximity to mobile end users. This highly distributed computing environment can be used to provide ultra-low latency, precise positional awareness and agile applications, which could significantly improve user experience. In order to achieve this, it is necessary to consider next-generation paradigms such as Information-Centric Networking and Cloud Computing, integrated with the upcoming 5th Generation networking access. A cohesive end-to-end architecture is proposed, fully exploiting Information-Centric Networking together with the Mobile Follow-Me Cloud approach, for enhancing the migration of content-caches located at the edge of cloudified mobile networks. The chosen content-relocation algorithm attains content-availability improvements of up to 500 when a mobile user performs a request and compared against other existing solutions. The performed evaluation considers a realistic core-network, with functional and non-functional measurements, including the deployment of the entire system, computation and allocation/migration of resources. The achieved results reveal that the proposed architecture is beneficial not only from the users’ perspective but also from the providers point-of-view, which may be able to optimize their resources and reach significant bandwidth savings.

EPA RREL's mobile Volume Reduction Unit.

Mode of access: Internet.