A Model for Proactivity in Mobile, Context-aware Recommender Systems

A proactive recommender system pushes recommendations to the user when the current situation seems appropriate, without explicit user request. This is conceivable in mobile scenarios such as restaurant or gas station recommendations. In this paper, we present a model for proactivity in mobile recommender systems. The model relies on domain-dependent context modeling in several categories. The recommendation process is divided into two phases to first analyze the current situation and then examine the suitability of particular items. We have implemented a prototype gas station recommender and conducted a survey for evaluation. Results showed good correlation of the output of our system with the assessment of users regarding the question when to generate recommendations.

Evaluation of APD and SiPM Matrices as Sensors for Monolithic PET Detector Block

Gamma detectors based on monolithic scintillator blocks coupled to APDs matrices have proved to be a good alternative to pixelated ones for PET scanners. They provide comparable spatial resolution, improve the sensitivity and make easier the mechanical design of the system. In this study we evaluate by means of Geant4-based simulations the possibility of replacing the APDs by SiPMs. Several commercial matrices of light sensors coupled to LYSO:Ce monolithic blocks have been simulated and compared. Regarding the spatial resolution and linearity of the detector, SiPMs with high photo detection efficiency could become an advantageous replacement for the APDs

Evaluation of a PET Prototype Using LYSO:Ce Monolithic Detector Block

We have analyzed the performance of a PET demonstrator formed by two sectors of four monolithic detector blocks placed face-to-face. Both front-end and read-out electronics have been evaluated by means of coincidence measurements using a rotating 22Na source placed at the center of the sectors in order to emulate the behavior of a complete full ring. A continuous training method based on neural network (NN) algorithms has been carried out to determine the entrance points over the surface of the detectors. Reconstructed images from 1 MBq 22Na point source and 22Na Derenzo phantom have been obtained using both filtered back projection (FBP) analytic methods and the OSEM 3D iterative algorithm available in the STIR software package [1]. Preliminary data on image reconstruction from a 22Na point source with Ø = 0.25 mm show spatial resolutions from 1.7 to 2.1 mm FWHM in the transverse plane. The results confirm the viability of this design for the development of a full-ring brain PET scanner compatible with magnetic resonance imaging for human studies.

Characterization and Test of a Data Acquisition System for PET

A small Positron Emission Tomography demonstrator based on LYSO slabs and Silicon Photomultiplier matrices is under construction at the University and INFN of Pisa. In this paper we present the characterization results of the read-out electronics and of the detection system. Two SiPM matrices, composed by 8 × 8 SiPM pixels, 1.5 mm pitch, have been coupled one to one to a LYSO crystals array. Custom Front-End ASICs were used to read the 64 channels of each matrix. Data from each Front-End were multiplexed and sent to a DAQ board for the digital conversion; a motherboard collects the data and communicates with a host computer through a USB port. Specific tests were carried out on the system in order to assess its performance. Futhermore we have measured some of the most important parameters of the system for PET application.

Projector Model for Efficient List-Mode Reconstruction in PET Scanners with Parallel Planar Detectors

We have developed a new projector model specifically tailored for fast list-mode tomographic reconstructions in Positron emission tomography (PET) scanners with parallel planar detectors. The model provides an accurate estimation of the probability distribution of coincidence events defined by pairs of scintillating crystals. This distribution is parameterized with 2D elliptical Gaussian functions defined in planes perpendicular to the main axis of the tube of response (TOR). The parameters of these Gaussian functions have been obtained by fitting Monte Carlo simulations that include positron range, acolinearity of gamma rays, as well as detector attenuation and scatter effects. The proposed model has been applied efficiently to list-mode reconstruction algorithms. Evaluation with Monte Carlo simulations over a rotating high resolution PET scanner indicates that this model allows to obtain better recovery to noise ratio in OSEM (ordered-subsets, expectation-maximization) reconstruction, if compared to list-mode reconstruction with symmetric circular Gaussian TOR model, and histogram-based OSEM with precalculated system matrix using Monte Carlo simulated models and symmetries.

Comparison of Chemical Absorbents Used for CO2 Capture in Coal-Fired Power Plants.

Climate change conference was hold in Copenhagen in 2009, global warming became the worldwide focus once again. China as a developing country has paid more attention for this environmental problem. In China, a large part of carbon dioxide is emitted to the atmosphere from combustion of fossil fuels in power plants. How to control emission of the greenhouse gas into atmosphere is becoming an urgent concern. Among numerous methods, CO2 capture is the hope to limit the amount of CO2 emitted into the air. The well-established method for CO2 capture is to remove CO2 by absorption into solutions in conventional equipment. Absorbents used for CO2 and H2S capture are important choice for CO2 capture technology. It is related to the cost and efficiency of plant directly and is essential to investigate the proposed CO2 and H2S absorbents.

Linked Opinions: Describing Sentiments on the Structured Web of Data

In the paper we report on the results of our experiments on the construction of the opinion ontology. Our aim is to show the benefits of publishing in the open, on the Web, the results of the opinion mining process in a structured form. On the road to achieving this, we attempt to answer the research question to what extent opinion information can be formalized in a unified way. Furthermore, as part of the evaluation, we experiment with the usage of Semantic Web technologies and show particular use cases that support our claims.

Lecciones aprendidas en la determinación del estado actual de los procesos de gestión de requisitos usando el CMMI como modelo de referencia

Invariablemente una de las primeras acciones en un proyecto de mejora es el poder determinar el estado actual del proceso. Por consiguiente, una organización que pretende mejorar su proceso de gestión de requisitos requiere utilizar un método de evaluación, que le permita identificar las fortalezas y debilidades de su proceso actual, con el fin de priorizar sus acciones de mejora. Este artículo presenta las lecciones aprendidas resultado de la aplicación de una metodología alternativa, mediante el uso de un cuestionario, para determinar el estado actual del proceso de gestión de requisitos que permite identificar, por un lado, las prácticas del proceso que se ejecutan rutinariamente y están bien documentadas y, por otro lado, las prácticas del proceso que requieren de una atención prioritaria.

Simulation of Temperatures and Stresses during Construction of a RCC Dam

Se describen las variaciones de temperaturas y de tensiones durante la construcción de presas de hormigón compactado. The curing of concrete is an exothermic process. The heat of hydration generated induces temperature increases in the concrete, which will disappear in the long term by heat conduction in the concrete mass and thermal exchanges with the environment. The problem is of particularly interest for large concrete masses, as is the case of dams, because the time involved in the heat diffusion process grows with the square of the dimensions and a hotter dam interior implies the possibility of cracking the exposed surfaces of the dam. The Cuira dam, currently being built in Venezuela using roller compacted concrete, is a 134 m high, arch-gravity dam. In support of the design, different strategies were analysed, including various combinations of cooling of the water and the aggregate in order to achieve acceptable results. The calculations were conducted with Abaqus, taking into account all the necessary mechanical and thermal characteristics, as well as the relevant non-linearities. The analyses led to the conclusion that no cooling was required, even taking into account the stress state imposed by an early and rapid filling of the reservoir.

Monitorización y verificación de un almacenamiento geológico de CO2. Aplicación de la monitorización superficial en la PDT de Hontomín (Burgos, España)

La necesidad de reducir las emisiones de gases de efecto invernadero ha contribuido al desarrollo de nuevas tecnologías de utilización sostenible de los combustibles fósiles. Destacan entre ellas la captura y almacenamiento de CO2 (CAC), aunque su aplicación industrial aún requiere avances tecnológicos. En este sentido, la Fundación Ciudad de la Energía (CIUDEN) desarrolla un proyecto integral de demostración de las técnicas CAC en el marco del proyecto Compostilla OXYCFB300 financiado por el programa europeo “European Energy Program for Recovery (EEPR)”

Emisiones de CO, CO2 y SO2 durante procesos de calentamiento de coque y carbón compactado y no compactado

La autoignición de sustancias pulverulentas sigue siendo un gran problema hoy en día, causando una gran cantidad de pérdidas humanas y en las instalaciones. Este proceso es muy común y ocurre en todas las industrias en las que se generan y almacenan productos en forma de polvo, pero especialmente en la industria del carbón. Un factor importante en la autoignición de parvas de almacenamiento de carbón es la emisión de gases que se produce debido a su calentamiento, por lo que es importante conocer qué tipo de gases se emiten y qué tipo de almacenamiento puede hacer que esta emisión disminuya, almacenamiento compactado o no compactado. Para contestar a estas cuestiones se han analizado las emisiones de CO, CO2 y SO2 en muestras de coque y carbón a diferentes temperaturas y con diferentes pesos y compactación. Los resultados de este estudio concluyen la gran influencia de estos factores en estas emisiones. Gracias a estos resultados se ha propuesto un método de extrapolación para determinar la cantidad de sustancias emitidas y sus caudales en volúmenes reales de almacenamiento.

A new ultrasonic signal amplification method for detection bacteria

A new method is presented that increases the sensitivity of ultrasound-based techniques for detection of bacteria. The technique was developed for the detection of catalase-positive microorganisms. It uses a bubble trapping medium containing hydrogen peroxide that is mixed with the sample for microbiological evaluation. The enzyme catalase is present in catalase-positive bacteria, which induces a rapid hydrolysis of hydrogen peroxide, forming bubbles which remain in the medium. This reaction results in the amplification of the mechanical changes that the microorganisms produce in the medium. The effect can be detected by means of ultrasonic wave amplitude continuous measurement since the bubbles increase the ultrasonic attenuation significantly. It is shown that microorganism concentrations of the order of 105 cells ml−1 can be detected using this method. This allows an improvement of three orders of magnitude in the ultrasonic detection threshold of microorganisms in conventional culture media, and is competitive with modern rapid microbiological methods. It can also be used for the characterization of the enzymatic activity.

Repercusiones de las etapas del desarme sobre las políticas nacionales de ciencia y tecnología

Cuando el título de la presente contribución fue escrito, estaban aún cercanos los ecos de toda la serie acontecimientos que llenaron, de forma esperanzada, la primera mitad del presente año. Parecía que el miedo a una conflagración global se había alejado y que los dos grandes bloques habían llegado a un entendimiento que presagiaba un futuro brillante. Artículos como el célebre ¿El fin de la historia?, de Francis Fukuyama, marcaron el inicio de un conjunto de visiones optimistas de la historia, en las que el hombre iba, por fin, a poderse dedicar a toda una serie de tareas que, hasta ahora, había pospuesto ante la inminencia de tensiones más o menos reales. Parecía que un nuevo espíritu se había adueñado de la Humanidad y que todos los problemas de carácter político iban a desaparecer en virtud de la aceptación universal de un principio de armonía en torno a los valores incuestionables de la Democracia. Puede ser conveniente, a efectos de resaltar este espíritu que comentamos, entresacar algún párrafo del citado artículo de Fukuyama.

Enhanced recommendations for e-learning authoring tools based on a proactive context-aware recommender

Authoring tools are powerful systems in the area of e-Learning that make easier for teachers to create new learning objects by reusing or editing existing educational resources coming from learning repositories or content providers. However, due to the overwhelming number of resources these tools can access, sometimes it is difficult for teachers to find the most suitable resources taking into account their needs in terms of content (e.g. topic) or pedagogical aspects (e.g. target level associated to their students). Recommender systems can take an important role trying to mitigate this problem. In this paper we propose a new model to generate proactive context-aware recommendations on resources during the creation process of a new learning object that a teacher carries out by using an authoring tool. The common use cases covered by the model for having recommendations in online authoring tools and details about the recommender model itself are presented.

The city as a learning gamified platform

The area of mobile city guides has grown really fast in the last years based on new mobile capabilities. This growth has been fostered by the evolution of ubiquitous systems and the great penetration of smartphones in the society. In this paper we propose a generic model to support a new way of visiting the city: instead of as a place for tourism, we see it as a place for learning in which located educational resources are available for end users. The model has been conceived as a way to encourage them to create their own educational tours, in which Learning Points Of Interest are set up to be discovered. Two main use cases are supported by the model: formal (conducted by a teacher) and informal (no educator is related to the learning experience) outdoor mobile learning. Details about the impact of the conjunction of tourism, learning and gamification dimensions in the model design, as well as about the model itself are provided. Finally, a mobile application prototype developed in the context of the FI-CONTENT European project is presented as a proof of concept of the model.