Aplicación de soporte para personal docente en dispositivo móvil: iPhone

Actualment és difícil no veure a gent de totes les edats amb algun tipus de Gadget electrònic. En forma de telèfons mòvils, GPS, agendes electròniques, reproductors de música, tablets o qualsevol altre dispositiu, el món digital ens aborda, la informació i les dades es digitalitzen i arriben fins a les nostres butxaques per ser accessibles en qualsevol moment. Es fa indispensable familiaritzar-se amb aquestes eines i per això s’introdueixen en els centres educatius de tot el món. En aquest projecte es combinen tots aquests fets per desenvolupar un herbari digital sobre un dispositiu mòbil, amb finalitat educativa i ús privat.

Visión por Computador en iPhone

Análisis de la viabilidad de la aplicación de las técnicas de Visión por Computador en un dispositivo móvil iPhone 4. Creación de una aplicación directa de estas técnicas para este dispositivo.

FutbolStats, una aplicació per a iPhone

Desenvolupament d'aplicació per a iPhone que controla els esdeveniments d'un partit de futbol. Mentre es van registrant, es poden consultar en temps real les estadístiques individuals i col·lectives dels equips. En tot moment, es pot generar un xml que permetrà exportar les dades a altres equips.

Guía de molinos de gofio canarios : Edición para dispositivos móviles

El presente trabajo final de carrera desarrolla una aplicación real para dispositivos móviles, con sistema operativo Android, que sirve de guía hipermedia de los molinos de gofio de Canarias.

Usabilitat dels sistemes operatius en smartphones (Android vs iOS)

Aquest treball es portarà a terme realitzant una avaluació heurística dels sistmes operatius seleccionats i de les seves aplicacions, un test d'usabilitat i un anàlisi de l'organització de les funcions mitjançant un card sorting on-line.

Percepciones de estudiantes sobre el Aprendizaje móvil; la nueva generación de la educación a distancia

Durante años, muchas instituciones y universidades han comenzado a experimentar con los dispositivos móviles en el aprendizaje a través de diferentes proyectos como parte de su metodología de aprendizaje. La experiencia adquirida con el empleo de estrategias y enfoques en la educación a distancia puede facilitar la conceptualización del aprendizaje móvil, así como el desarrollo de aplicaciones para este nuevo medio de aprendizaje. Los dispositivos móviles abren además nuevos caminos para el aprendizaje y una nueva generación para la educación a distancia, y los investigadores conocen estos nuevos caminos para el aprendizaje y oportunidades de llegar a un público más amplio. Este trabajo, muestra los resultados de un grupo de discusión que se llevó a cabo entre 20 estudiantes de licenciatura con el fin de explorar las percepciones, y en general todo aquello que afecta a la interpretación subjetiva de los individuos y su interacción con un fenómeno social como el aprendizaje móvil.

Consum de premsa comarcal tradicional i en línia a Catalunya. Estudi de camp sobre preferències i hàbits de persones adultes en el context multipantalla

Aquesta recerca estudia el consum de premsa comarcal tradicional i en línia per part de lectors, radiooients i usuaris web residents a Catalunya. Per fer-ho, es va crear una enquesta en línia oberta a majors d’edat en què es destaca que: els mitjans de comunicació nacionals tradicionals són els més consumits, seguits pels mitjans de comunicació comarcals tradicionals; que hi ha una tendència a la disminució de consum de notícies en línia a mesura que augmenta l’edat, i que l’accés als mitjans de comunicació en línia es fa més a través d’ordinador portàtil, seguit de l’ordinador de sobretaula i després mitjançant el telèfon intel·ligent. Això desvetlla un panorama multipantalla en construcció, en la cerca d’una identitat i un model de negoci.

The Brain as a Distributed Intelligent Processing System: An EEG Study

Background: Various neuroimaging studies, both structural and functional, have provided support for the proposal that a distributed brain network is likely to be the neural basis of intelligence. The theory of Distributed Intelligent Processing Systems (DIPS), first developed in the field of Artificial Intelligence, was proposed to adequately model distributed neural intelligent processing. In addition, the neural efficiency hypothesis suggests that individuals with higher intelligence display more focused cortical activation during cognitive performance, resulting in lower total brain activation when compared with individuals who have lower intelligence. This may be understood as a property of the DIPS. Methodology and Principal Findings: In our study, a new EEG brain mapping technique, based on the neural efficiency hypothesis and the notion of the brain as a Distributed Intelligence Processing System, was used to investigate the correlations between IQ evaluated with WAIS (Whechsler Adult Intelligence Scale) and WISC (Wechsler Intelligence Scale for Children), and the brain activity associated with visual and verbal processing, in order to test the validity of a distributed neural basis for intelligence. Conclusion: The present results support these claims and the neural efficiency hypothesis.

Modeling of Distributed Control Systems in Intelligent Building based on Colored Petri Nets

Distributed control systems consist of sensors, actuators and controllers, interconnected by communication networks and are characterized by a high number of concurrent process. This work presents a proposal for a procedure to model and analyze communication networks for distributed control systems in intelligent building. The approach considered for this purpose is based on the characterization of the control system as a discrete event system and application of coloured Petri net as a formal method for specification, analysis and verification of control solutions. With this approach, we develop the models that compose the communication networks for the control systems of intelligent building, which are considered the relationships between the various buildings systems. This procedure provides a structured development of models, facilitating the process of specifying the control algorithm. An application example is presented in order to illustrate the main features of this approach.

Sensor-driven agenda for intelligent home care of the elderly

The exponential increase of home-bound persons who live alone and are in need of continuous monitoring requires new solutions to current problems. Most of these cases present illnesses such as motor or psychological disabilities that deprive of a normal living. Common events such as forgetfulness or falls are quite common and have to be prevented or dealt with. This paper introduces a platform to guide and assist these persons (mostly elderly people) by providing multisensory monitoring and intelligent assistance. The platform operates at three levels. The lower level, denominated ‘‘Data acquisition and processing’’performs the usual tasks of a monitoring system, collecting and processing data from the sensors for the purpose of detecting and tracking humans. The aim is to identify their activities in an intermediate level called ‘‘activity detection’’. The upper level, ‘‘Scheduling and decision-making’’, consists of a scheduler which provides warnings, schedules events in an intelligent manner and serves as an interface to the rest of the platform. The idea is to use mobile and static sensors performing constant monitoring of the user and his/her environment, providing a safe environment and an immediate response to severe problems. A case study on elderly fall detection in a nursery home bedroom demonstrates the usefulness of the proposal.

TINSEL – a web-based intelligent tutoring system on electrical installation design

This paper presents a project consisting on the development of an Intelligent Tutoring System, for training and support concerning the development of electrical installation projects to be used by electrical engineers, technicians and students. One of the major goals of this project is to devise a teaching model based on Intelligent Tutoring techniques, considering not only academic knowledge but also other types of more empirical knowledge, able to achieve successfully the training of electrical installation design.

Intelligent decision making in electricity markets: simulated annealing Q-Learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM is integrated with ALBidS, a system that provides several dynamic strategies for agents’ behavior. This paper presents a method that aims at enhancing ALBidS competence in endowing market players with adequate strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible actions. These actions are defined accordingly to the most probable points of bidding success. With the purpose of accelerating the convergence process, a simulated annealing based algorithm is included.

Short-term electricity prices forecasting in a competitive market by a hybrid intelligent approach

In this paper, a hybrid intelligent approach is proposed for short-term electricity prices forecasting in a competitive market. The proposed approach is based on the wavelet transform and a hybrid of neural networks and fuzzy logic. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications. Conclusions are duly drawn. (C) 2010 Elsevier Ltd. All rights reserved.