Bits de inteligencia para Android

El trabajo es una aplicación para Android, destinada a los niños que implementa el método didáctico de los Bits de inteligencia para que los niños puedan usar la aplicación por ellos mismos, sin ayuda. Tiene una interfaz clara y amigable y un funcionamiento muy fácil, simple, visual e intuitivo para que los niños puedan usarla sin problemas. La aplicación está compuesta por una serie de categorías y subcategorías que se muestran en forma de listas y mediante l selección de ellas, se nos muestra una galería de los bits asociados. Dicha galería está formada por una imagen, un texto y un sonido por cada bit, que se cambiarán automáticamente. Existe la opción de ver las categorías, subcategorías y bits (texto y audio) en español o en inglés.Grado en Ingeniería Informática de Servicios y Aplicacione

Hybrid Modeling Procedure of Li-Ion Battery Modules for Reproducing Wide Frequency Applications in Electric Systems

In this chapter, a hybrid modeling procedure of Li-ion battery modules is presented. From experimental results, the parameters of an electrical circuit have been determined by means of time- and frequency-domain tests. In this way, the dynamic behavior of the battery-pack is modeled. The tests have been performed at the whole battery-pack, instead of a single-cell approach, in order to consider the packaging effects of multicell devices. The real performance of the battery-pack under dynamic applications associated with distribution grids has been simulated using a hardware-in-the-loop (HIL) experimental setup. According to simulation results, the hybrid model follows the battery-pack response with high accuracy

Fast algorithm for H.264/AVC intra prediction based on discrete wavelet transform

H.264 or MPEG-4 AVC (Advanced Video Coding) is the new world-wide accepted international Standard for video coding, approved by ITU-T and ISO. New Tools have been added to improve the coding efficiency allowing a save up above of 50%, when is compared with previous standards (H.263, MPEG-2 y MPEG-4). From April 2007 there is a new set of profiles known as “all-Intra”. They were born as a sub-set from the “High” profile and have reached a high impact within broadcast industry where the highest quality video formats are demanded. The high efficiency of “all-Intra” mode in H.264 is due to Rate Distortion Optimization (RDO) technique. RDO chooses for each macroblock (MB) the best partition mode and directional prediction. However, the computational burden becomes extremely high due to huge number of prediction-prediction modes that should be evaluated. This article shows a new algorithm for fast partition mode algorithm based on Discrete Wavelet Transform (DWT). It allows reducing the number of candidate modes to those which are strictly defined for each partition. By using the local 2D-DWT over each MB, information of the homogeneity is obtained. It is got from multiresolution analysis of the transformed coefficients in each sub-band. This way it is easier to classify quickly the optimum partition mode avoiding the exhaustive seek made by RDO

Using Dynamic Neural Networks for Battery State of Charge Estimation in Electric Vehicles

Due to urban pollution, transport electrification is being currently promoted in different countries. Electric Vehicles (EVs) sales are growing all over the world, but there are still some challenges to be solved before a mass adoption of this type of vehicles occurs. One of the main drawbacks of EVs are their limited range, for that reason an accurate estimation of the state-of-charge (SOC) is required. The main contribution of this work is the design of a Nonlinear Autoregressive with External Input (NARX) artificial neural network to estimate the SOC of an EV using real data extracted from the car during its daily trips. The network is trained using voltage, current and four different battery pack temperatures as input and SOC as output. This network has been tested using 54 different real driving cycles, obtaining highly accurate results, with a mean squared error lower than 1e-6 in all situationsThis work has been partially financed by the Spanish Ministry of Economy and Competitiveness within the framework of the project DEMS: “Sistema distribuido de gestión de energía en redes eléctricas inteligentes (TEC2015-66126-R)"

Definition of masks related to psychovisual features for video quality assessment

Video Quality Assessment needs to correspond to human perception. Pixel-based metrics (PSNR or MSE) fail in many circumstances for not taking into account the spatio-temporal property of human's visual perception. In this paper we propose a new pixel-weighted method to improve video quality metrics for artifacts evaluation. The method applies a psychovisual model based on motion, level of detail, pixel location and the appearance of human faces, which approximate the quality to the human eye's response. Subjective tests were developed to adjust the psychovisual model for demonstrating the noticeable improvement of an algorithm when weighting the pixels according to the factors analyzed instead of treating them equally. The analysis developed demonstrates the necessity of models adapted to the specific visualization of contents and the model presents an advance in quality to be applied over sequences when a determined artifact is analyzed

Subjective quality assessment in stereoscopic video based on analyzing parallax and disparity

Disparity may cause visual discomfort. Pairs of video sequences with different levels of parallax, both negative and positive, were presented together to the observers. The observers evaluated the cases in which visual discomfort occurred after visualizing the transition on each pair

Proposal for Characterization of 3DTV Video Sequences Describing Parallax Information

Recommendations such as P.910 suggests parameters TI (temporal information) and SI (spatial information) for characterizing video sequences for quality assessment. In this paper, we suggest two additional parameter based on disparity called SPI (spatial parallax information) and TPI (temporal parallax information) to characterize 3DTV video sequences for this purpose

Insertion of impairments in test video sequences for quality assessment based on psychovisual characteristics

Assessing video quality is a complex task. While most pixel-based metrics do not present enough correlation between objective and subjective results, algorithms need to correspond to human perception when analyzing quality in a video sequence. For analyzing the perceived quality derived from concrete video artifacts in determined region of interest we present a novel methodology for generating test sequences which allow the analysis of impact of each individual distortion. Through results obtained after subjective assessment it is possible to create psychovisual models based on weighting pixels belonging to different regions of interest distributed by color, position, motion or content. Interesting results are obtained in subjective assessment which demonstrates the necessity of new metrics adapted to human visual system

Architectures for Future Media Internet

Among the major reasons for the success of the Internet have been the simple networking architecture and the IP interoperation layer. However, the traffic model has recently changed. More and more applications (e.g. peerto-peer, content delivery networks) target on the content that they deliver rather than on the addresses of the servers who (originally) published/hosted that content. This trend has motivated a number of content-oriented networking studies. In this paper we summarize some the most important approache

Secure Geographic Routing in Ad Hoc and Wireless Sensor Networks

Security in sensor networks is one of the most relevant research topics in resource constrained wireless devices and networks. Several attacks can be suffered in ad hoc and wireless sensor networks (WSN), which are highly susceptible to attacks, due to the limited resources of the nodes. In this paper, we propose innovative and lightweight localization techniques that allow for intrusion identification and isolation schemes and provide accurate location information. This information is used by our routing protocol which additionally incorporates a distributed trust model to prevent several routing attacks to the network. We finally evaluate our algorithms for accurate localization and for secure routing which have been implemented and tested in real ad hoc and wireless sensor networks