An Experimental Platform for large-scale research facing FI-IoT scenarios

Providing experimental facilities for the Internet of Things (IoT) world is of paramount importance to materialise the Future Internet (FI) vision. The level of maturity achieved at the networking level in Sensor and Actuator networks (SAN) justifies the increasing demand on the research community to shift IoT testbed facilities from the network to the service and information management areas. In this paper we present an Experimental Platform fulfilling these needs by: integrating heterogeneous SAN infrastructures in a homogeneous way; providing mechanisms to handle information, and facilitating the development of experimental services. It has already been used to deploy applications in three different field trials: smart metering, smart places and environmental monitoring and it will be one of the components over which the SmartSantander project, that targets a large-scale IoT experimental facility, will rely on

A User Centered Design Approach for Patient Interfaces to a Diabetes IT Platform

Improving patient self-management can have a greater impact than improving any clinical treatment (WHO). We propose here a systematic and comprehensive user centered design approach for delivering a technological platform for diabetes disease management. The system was developed under the METABO research project framework, involving patients from 3 different clinical centers in Parma, Modena and Madrid.

ITER fast plan system controlle prototype based on PXI platform

Presentación de una ponencia invitada en el 4th Annual Pan-European Big Physics Symposium

ITER fast plant system controller prototype based on PXIe platform

The ITER CODAC design identifies slow and fast plant system controllers (PSC). The gast OSCs are based on embedded technologies, permit sampling rates greater than 1 KHz, meet stringent real-time requirements, and will be devoted to data acquisition tasks and control purposes. CIEMAT and UPM have implemented a prototype of a fast PSC based on commercial off-the-shelf (COTS) technologies with PXI hardware and software based on EPICS

Cost and energy efficient reconfigurable embedded platform using Spartan-6 FPGAs

Modern FPGAs with run-time reconfiguration allow the implementation of complex systems offering both the flexibility of software-based solutions combined with the performance of hardware. This combination of characteristics, together with the development of new specific methodologies, make feasible to reach new points of the system design space, and make embedded systems built on these platforms acquire more and more importance. However, the practical exploitation of this technique in fields that traditionally have relied on resource restricted embedded systems, is mainly limited by strict power consumption requirements, the cost and the high dependence of DPR techniques with the specific features of the device technology underneath. In this work, we tackle the previously reported problems, designing a reconfigurable platform based on the low-cost and low-power consuming Spartan-6 FPGA family. The full process to develop the platform will be detailed in the paper from scratch. In addition, the implementation of the reconfiguration mechanism, including two profiles, is reported. The first profile is a low-area and low-speed reconfiguration engine based mainly on software functions running on the embedded processor, while the other one is a hardware version of the same engine, implemented in the FPGA logic. This reconfiguration hardware block has been originally designed to the Virtex-5 family, and its porting process will be also described in this work, facing the interoperability problem among different families.

ITER Fast Plant System Controller Prototype Based on Commercial PXI Platform

The ITER CODAC design identifies slow and fast plant system controllers (PSC). The gast OSCs are based on embedded technologies, permit sampling rates greater than 1 KHz, meet stringent real-time requirements, and will be devoted to data acquisition tasks and control purposes. CIEMAT and UPM have implemented a prototype of a fast PSC based on commercial off-the-shelf (COTS) technologies with PXI hardware and software based on EPICS

PREVIRNEC A new platform for cognitive tele-rehabilitation

Acquired Brain Injury (ABI), either caused by vascular or traumatic nature, is one of the most important causes for neurological disabilities. People who suffer ABI see how their quality of life decreases, due to the affection of one or some of the cognitive functions (memory, attention, language or executive functions). The traditional cognitive rehabilitation protocols are too expensive, so every help carried out in this area is justified. PREVIRNEC is a new platform for cognitive tele-rehabilitation that allows the neuropsychologist to schedule rehabilitation sessions consisted of specifically designed tasks, plus offering an additional way of communication between neuropsychologists and patients. Besides, the platform offers a knowledge management module that allows the optimization of the cognitive rehabilitation to this kind of patients.

eMathTeacher Platform Suite

La idea inicial de este proyecto surge de la necesidad de desarrollar una herramienta software que ayudase a estudiantes de un curso de iniciación de álgebra lineal a adquirir los conceptos expuestos en el curso mediante la asistencia de cálculos y la representación visual de conceptos e ideas. Algunas de las características o funcionalidades que debería cumplir la herramienta serían: cálculo simbólico, representación simbólica, interfaz gráfico interactivo (point-and-click para realizar operaciones y cálculos, inserción de elementos gráficos mediante drag-and-drop desde una paleta de elementos, representación visual esquemática, representación gráfica 2D y 3D...), persistencia del modelo de datos, etc. Esta fase de un proyecto puede definirse como el – qué –. El siguiente paso o fase del proyecto trata del diseño del proyecto o el – cómo –. Cómo realizar el cálculo numérico, cómo representar símbolos matemáticos en pantalla, cómo crear una paleta de elementos. . . Seguramente existen bibliotecas o APIs de programación para realizar todas estas tareas, sin embargo, su utilización exige al programador tiempo de aprendizaje y el diseño de integración de las diferentes bibliotecas (compatibilidad de versiones, mecanismos de comunicación entre ellas, configuración, etc.). Lo primero puede resolverse fácilmente dedicando tiempo de estudio a la documentación, pero ya implica tiempo. Lo segundo implica además tener que tomar decisiones sobre cómo realizar la integración, no es trivial llegar a dibujar en pantalla, mediante una API de visualización gráfica, una matriz resultado de realizar ciertas operaciones mediante un API de cálculo de álgebra lineal. Existen varias bibliotecas de cálculo de álgebra lineal en las que apoyarse para realizar cálculos. Así pues, es fácil encontrar una biblioteca o API con funciones para realizar operaciones con matrices. Lo que no resulta tan sencillo es encontrar un API que permita definir al programador los mecanismos para representar la matriz en pantalla o para que el usuario introduzca los valores de la matriz. Es en estas últimas tareas en las que el programador se ve obligado a dedicar la mayor parte del tiempo de desarrollo. El resultado de este proyecto supone una gran simplificación de esta segunda fase, la parte del – cómo –, estableciendo una plataforma sobre la que futuros desarrollos puedan basarse para obtener resultados de alta calidad sin tener que preocuparse de las tareas ajenas a la lógica del programa.

A big data platform for large scale event processing

To date, big data applications have focused on the store-and-process paradigm. In this paper we describe an initiative to deal with big data applications for continuous streams of events. In many emerging applications, the volume of data being streamed is so large that the traditional ‘store-then-process’ paradigm is either not suitable or too inefficient. Moreover, soft-real time requirements might severely limit the engineering solutions. Many scenarios fit this description. In network security for cloud data centres, for instance, very high volumes of IP packets and events from sensors at firewalls, network switches and routers and servers need to be analyzed and should detect attacks in minimal time, in order to limit the effect of the malicious activity over the IT infrastructure. Similarly, in the fraud department of a credit card company, payment requests should be processed online and need to be processed as quickly as possible in order to provide meaningful results in real-time. An ideal system would detect fraud during the authorization process that lasts hundreds of milliseconds and deny the payment authorization, minimizing the damage to the user and the credit card company.

CumuloNimbo: A highly-scalable transaction processing platform as a service.

One of the main challenges facing next generation Cloud platform services is the need to simultaneously achieve ease of programming, consistency, and high scalability. Big Data applications have so far focused on batch processing. The next step for Big Data is to move to the online world. This shift will raise the requirements for transactional guarantees. CumuloNimbo is a new EC-funded project led by Universidad Politécnica de Madrid (UPM) that addresses these issues via a highly scalable multi-tier transactional platform as a service (PaaS) that bridges the gap between OLTP and Big Data applications.

A platform for the development of patient applications in the domain of personalized health

Personalized health (p-health) systems can contribute significantly to the sustainability of healthcare systems, though their feasibility is yet to be proven. One of the problems related to their development is the lack of well-established development tools for this domain. As the p-health paradigm is focused on patient self-management, big challenges arise around the design and implementation of patient systems. This paper presents a reference platform created for the development of these applications, and shows the advantages of its adoption in a complex project dealing with cardio-vascular diseases.

Design of an Advanced Platform for Citizen Participation Committed to Ensuring Freedom of Speech

This paper presents a proposal for an advanced system of debate in an environment of digital democracy which overcomes the limitations of existing systems. We have been especially careful in applying security procedures in telematic systems, for they are to offer citizens the guarantees that society demands. New functional tools have been included to ensure user authentication and to permit anonymous participation where the system is unable to disclose or even to know the identity of system users. The platform prevents participation by non-entitled persons who do not belong to the authorized group from giving their opinion. Furthermore, this proposal allows for verifying the proper function of the system, free of tampering or fraud intended to alter the conclusions or outcomes of participation. All these tools guarantee important aspects of both a social and technical nature, most importantly: freedom of expression, equality and auditability.

A platform for real-time control education with LEGO MINDSTORMS.

A set of software development tools for building real-time control systems on a simple robotics platform is described in the paper. The tools are being used in a real-time systems course as a basis for student projects. The development platform is a low-cost PC running GNU/Linux, and the target system is LEGO MINDSTORMS NXT, thus keeping the cost of the laboratory low. Real-time control software is developed using a mixed paradigm. Functional code for control algorithms is automatically generated in C from Simulink models. This code is then integrated into a concurrent, real-time software architecture based on a set of components written in Ada. This approach enables the students to take advantage of the high-level, model-oriented features that Simulink oers for designing control algorithms, and the comprehensive support for concurrency and real-time constructs provided by Ada.

Bat-MP: An Ontology-Based Energy Management Platform

This paper presents an Ontology-Based multi-technology platform as part of an open energy management system which also comprises a wireless transducer network for control and monitoring. The platform allows the integration of several building automation protocols, eases the development and implementation of different kinds of services and allows sharing of the data of a building. The system has been implemented and tested in the Energy Efficiency Research Facility at CeDInt-UPM.

Time and space partition platform for safe and secure flight software.

There are a number of research and development activities that are exploring Time and Space Partition (TSP) to implement safe and secure flight software. This approach allows to execute different real-time applications with different levels of criticality in the same computer board. In order to do that, flight applications must be isolated from each other in the temporal and spatial domains. This paper presents the first results of a partitioning platform based on the Open Ravenscar Kernel (ORK+) and the XtratuM hypervisor. ORK+ is a small, reliable real-time kernel supporting the Ada Ravenscar Computational model that is central to the ASSERT development process. XtratuM supports multiple virtual machines, i.e. partitions, on a single computer and is being used in the Integrated Modular Avionics for Space study. ORK+ executes in an XtratuM partition enabling Ada applications to share the computer board with other applications.