Ein Buch unserer Zeit: Heinrich Berl [Rezension] : "Das Judentum in der Musik"

Rudolf Reti

Der Wettkampf um die Weltmeisterschaft

Richard Reti

Schach : Das Dr. Körner Schachturnier der "Hakoah"

Richard Reti

Jüdische Musikpflege

Rudolf Reti

[Musiknotizen]

Rudolf Reti

Compound specific stable isotopes, BIT, pollen and spores of Miocene to Pliocene sediments of ODP Hole 175-1085A

Pollen and stable carbon (d13C) and hydrogen (dD) isotope ratios of terrestrial plant wax from the South Atlantic sediment core, ODP Site 1085, is used to reconstruct Miocene to Pliocene changes of vegetation and rainfall regime of western southern Africa. Our results reveal changes in the relative amount of precipitation and indicate a shift of the main moisture source from the Atlantic to the Indian Ocean during the onset of a major aridification 8 Ma ago. We emphasise the importance of declining precipitation during the expansion of C4 and CAM (mainly succulent) vegetation in South Africa. We suggest that the C4 plant expansion resulted from an increased equator-pole temperature gradient caused by the initiation of strong Atlantic Meridional Overturning Circulation following the shoaling of the Central American Seaway during the Late Miocene.

Multi-agent Architecture for Heterogeneous Reasoning under Uncertainty Combining MSBN and Ontologies in Distributed Network Diagnosis

This article proposes a MAS architecture for network diagnosis under uncertainty. Network diagnosis is divided into two inference processes: hypothesis generation and hypothesis confirmation. The first process is distributed among several agents based on a MSBN, while the second one is carried out by agents using semantic reasoning. A diagnosis ontology has been defined in order to combine both inference processes. To drive the deliberation process, dynamic data about the influence of observations are taken during diagnosis process. In order to achieve quick and reliable diagnoses, this influence is used to choose the best action to perform. This approach has been evaluated in a P2P video streaming scenario. Computational and time improvements are highlight as conclusions.

A multi-agent system with distributed bayesian reasoning for network fault diagnosis

In this paper, an innovative approach to perform distributed Bayesian inference using a multi-agent architecture is presented. The final goal is dealing with uncertainty in network diagnosis, but the solution can be of applied in other fields. The validation testbed has been a P2P streaming video service. An assessment of the work is presented, in order to show its advantages when it is compared with traditional manual processes and other previous systems.

Consumo colaborativo. Análisis, estudio de casos de éxito y buenas prácticas

Se pretende estudiar en este Trabajo Fin de Máster la influencia en la sociedad de un fenómeno de actualidad como es el consumo colaborativo. Para ello se han fijado dos objetivos relacionados entre sí. Por un lado profundizar en este nuevo movimiento desde todas sus aristas bajo un punto de vista teórico para conseguir una visión independiente de cada una de ellas así como una visión de conjunto que las relacione. De este modo, a nivel teórico, analizaremos conceptos tan importantes como son los factores claves para su aparición, la creación y modificación de nuevos mercados, sus modelos de negocio, los marketplaces P2P, los riesgos a los que se enfrenta y la financiación de estas iniciativas. Por otro lado, aplicaremos este conocimiento en una segunda parte práctica. Para ello, utilizando como metodología científica el estudio de casos, se analizan una serie de casos de éxito de los más significativos de este movimiento poniendo el foco en el panorama español. Por último extraeremos del análisis unas buenas prácticas que le puedan ser de utilidad a una ‘startup’ en sus primeros pasos. ABSTRACT I intend to study in this research the influence in the society of a new movement, the so called Collaborative Consumption – a form of consumption where people share goods and services. Two related objectives have been set in this context. On the one hand it will be necessary to deep into this new movement from different perspectives under a theoretical point of view to get an independent view of each one as well as an overview that relates all of them. To accomplish this, it will be necessary to discuss important concepts such as the key factors for its occurrence, the creation and modification of new markets, business models, the P2P marketplaces, the risks it faces and the funding part of these initiatives. On the other hand, we will apply this knowledge in a second practical part using the case study as scientific methodology. A series of case studies, the most significant of this movement, will be analyzed focusing on the Spanish landscape. Finally, we will derive from the analysis a set of best practices that could be helpful to a start-up in its first steps.

Situazione attuale delle comunicazioni ottiche

In una panoramica non completa, viene presentata la situazione attuale di alcuni tra i temi piú significativi per quanto riguarda le comunicazioni ottiche. L 'analisi è centrata essenzialmente sulle fibre mono e multimodali, su quelle a caratteristiche speciali, usate nelle comunicazioni coerenti, sui componenti attivi e sulle reti locali.

Automatic fault detection on BIPV systems without solar irradiation data

BIPV systems are small PV generation units spread out over the territory, and whose characteristics are very diverse. This makes difficult a cost-effective procedure for monitoring, fault detection, performance analyses, operation and maintenance. As a result, many problems affecting BIPV systems go undetected. In order to carry out effective automatic fault detection procedures, we need a performance indicator that is reliable and that can be applied on many PV systems at a very low cost. The existing approaches for analyzing the performance of PV systems are often based on the Performance Ratio (PR), whose accuracy depends on good solar irradiation data, which in turn can be very difficult to obtain or cost-prohibitive for the BIPV owner. We present an alternative fault detection procedure based on a performance indicator that can be constructed on the sole basis of the energy production data measured at the BIPV systems. This procedure does not require the input of operating conditions data, such as solar irradiation, air temperature, or wind speed. The performance indicator, called Performance to Peers (P2P), is constructed from spatial and temporal correlations between the energy output of neighboring and similar PV systems. This method was developed from the analysis of the energy production data of approximately 10,000 BIPV systems located in Europe. The results of our procedure are illustrated on the hourly, daily and monthly data monitored during one year at one BIPV system located in the South of Belgium. Our results confirm that it is possible to carry out automatic fault detection procedures without solar irradiation data. P2P proves to be more stable than PR most of the time, and thus constitutes a more reliable performance indicator for fault detection procedures. We also discuss the main limitations of this novel methodology, and we suggest several future lines of research that seem promising to improve on these procedures.

Desarrollo de aplicaciones android usando la tecnología wifi-direct

Este proyecto de fin de grado pretende demostrar la importancia y la utilidad de la creación de redes de dispositivos móviles conectados entre sí. Para ello se explicarán varios tipos de redes inalámbricas que permiten estas conexiones directas entre dispositivos sin la necesidad de un servidor. En estas redes inalámbricas se destacan las redes P2P y las redes Ad-hoc, las cuales se explicarán posteriormente. El despliegue de estas redes se puede encontrar en un amplio rango de campos como puede ser la agricultura, la medicina e incluso en el ámbito militar. Es objetivo de este proyecto, además, el estudio de la tecnología Wi-Fi Direct creada por la Wi-Fi Alliance. Como se explicará a lo largo del proyecto, Wi-Fi Direct está basado en las redes P2P. Esta tecnología permite a los dispositivos cercanos crear redes P2P a través de la red Wi-Fi sin la necesidad de un punto de acceso a Internet. Por otro lado, una gran cantidad de los dispositivos móviles que existen actualmente poseen el sistema operativo Android. Android ha incorporado en sus dispositivos más recientes la tecnología Wi-Fi Direct. Debido a ello han ido surgiendo aplicaciones que usando esta tecnología consiguen desde enviar ficheros hasta indicar la localización de un usuario. Esta tecnología combinada con este tipo de dispositivos puede ser muy útil para utilizar en casos de emergencia donde las infraestructuras de comunicaciones no estén disponibles ya que al no necesitar un punto de acceso a internet es posible la comunicación entre un usuario en peligro y otro que se encuentre dentro de un radio cercano. Por estos motivos otro de los principales objetivos de este proyecto es la implementación de una aplicación para dispositivos Android que use la tecnología Wi-Fi Direct para realizar varias funcionalidades diferentes, como es el intercambio de ficheros entre dispositivos y la creación de un chat para la comunicación simultanea entre dos dispositivos. Con esto se pretende conocer mejor el funcionamiento de la tecnología Wi-Fi Direct y demostrar su utilidad en los dispositivos móviles como son los dispositivos Android. ABSTRACT. This final degree Project tries to demonstrate the importance and utility of networking mobile devices. For this purpose several types of wireless networks will be explained. These networks allow direct connections between devices. The most prominent Wireless networks are P2P and Ad-hoc which will be explained later. The use of these networks can be found in a wide range of fields such as agriculture medicine, and even in the military sector. Besides, other aim of this project is the study of Wi-Fi Direct Technology which is created by Wi-Fi Alliance. As it explained along the project, Wi-Fi Direct is based on P2P networks. This technology lets nearby devices create P2P networks through Wi-Fi network without an Internet access point. On the other hand, a large number of mobile devices have the Android OS. Android has integrated Wi-Fi Direct technology in its latest devices. Because of this applications have emerged that using this technology they get from sending files to send the user’s location. This technology combined with these devices can be very useful to use in emergencies where communications infrastructures are not available. Since not need an Internet access point, communication between a user in danger and another within close radius is possible. For these reasons another of the main aims of this project is the implementation of an application for Android devices which use Wi-Fi Direct technology to perform several different functionalities, such as file exchange or chat for simultaneous communication between devices. This is intended to better understand the operation of Wi-Fi Direct technology and prove its utility on mobile devices such as Android devices.

Clasificación de tráfico de Internet mediante análisis de datos

Poder clasificar de manera precisa la aplicación o programa del que provienen los flujos que conforman el tráfico de uso de Internet dentro de una red permite tanto a empresas como a organismos una útil herramienta de gestión de los recursos de sus redes, así como la posibilidad de establecer políticas de prohibición o priorización de tráfico específico. La proliferación de nuevas aplicaciones y de nuevas técnicas han dificultado el uso de valores conocidos (well-known) en puertos de aplicaciones proporcionados por la IANA (Internet Assigned Numbers Authority) para la detección de dichas aplicaciones. Las redes P2P (Peer to Peer), el uso de puertos no conocidos o aleatorios, y el enmascaramiento de tráfico de muchas aplicaciones en tráfico HTTP y HTTPS con el fin de atravesar firewalls y NATs (Network Address Translation), entre otros, crea la necesidad de nuevos métodos de detección de tráfico. El objetivo de este estudio es desarrollar una serie de prácticas que permitan realizar dicha tarea a través de técnicas que están más allá de la observación de puertos y otros valores conocidos. Existen una serie de metodologías como Deep Packet Inspection (DPI) que se basa en la búsqueda de firmas, signatures, en base a patrones creados por el contenido de los paquetes, incluido el payload, que caracterizan cada aplicación. Otras basadas en el aprendizaje automático de parámetros de los flujos, Machine Learning, que permite determinar mediante análisis estadísticos a qué aplicación pueden pertenecer dichos flujos y, por último, técnicas de carácter más heurístico basadas en la intuición o el conocimiento propio sobre tráfico de red. En concreto, se propone el uso de alguna de las técnicas anteriormente comentadas en conjunto con técnicas de minería de datos como son el Análisis de Componentes Principales (PCA por sus siglas en inglés) y Clustering de estadísticos extraídos de los flujos procedentes de ficheros de tráfico de red. Esto implicará la configuración de diversos parámetros que precisarán de un proceso iterativo de prueba y error que permita dar con una clasificación del tráfico fiable. El resultado ideal sería aquel en el que se pudiera identificar cada aplicación presente en el tráfico en un clúster distinto, o en clusters que agrupen grupos de aplicaciones de similar naturaleza. Para ello, se crearán capturas de tráfico dentro de un entorno controlado e identificando cada tráfico con su aplicación correspondiente, a continuación se extraerán los flujos de dichas capturas. Tras esto, parámetros determinados de los paquetes pertenecientes a dichos flujos serán obtenidos, como por ejemplo la fecha y hora de llagada o la longitud en octetos del paquete IP. Estos parámetros serán cargados en una base de datos MySQL y serán usados para obtener estadísticos que ayuden, en un siguiente paso, a realizar una clasificación de los flujos mediante minería de datos. Concretamente, se usarán las técnicas de PCA y clustering haciendo uso del software RapidMiner. Por último, los resultados obtenidos serán plasmados en una matriz de confusión que nos permitirá que sean valorados correctamente. ABSTRACT. Being able to classify the applications that generate the traffic flows in an Internet network allows companies and organisms to implement efficient resource management policies such as prohibition of specific applications or prioritization of certain application traffic, looking for an optimization of the available bandwidth. The proliferation of new applications and new technics in the last years has made it more difficult to use well-known values assigned by the IANA (Internet Assigned Numbers Authority), like UDP and TCP ports, to identify the traffic. Also, P2P networks and data encapsulation over HTTP and HTTPS traffic has increased the necessity to improve these traffic analysis technics. The aim of this project is to develop a number of techniques that make us able to classify the traffic with more than the simple observation of the well-known ports. There are some proposals that have been created to cover this necessity; Deep Packet Inspection (DPI) tries to find signatures in the packets reading the information contained in them, the payload, looking for patterns that can be used to characterize the applications to which that traffic belongs; Machine Learning procedures work with statistical analysis of the flows, trying to generate an automatic process that learns from those statistical parameters and calculate the likelihood of a flow pertaining to a certain application; Heuristic Techniques, finally, are based in the intuition or the knowledge of the researcher himself about the traffic being analyzed that can help him to characterize the traffic. Specifically, the use of some of the techniques previously mentioned in combination with data mining technics such as Principal Component Analysis (PCA) and Clustering (grouping) of the flows extracted from network traffic captures are proposed. An iterative process based in success and failure will be needed to configure these data mining techniques looking for a reliable traffic classification. The perfect result would be the one in which the traffic flows of each application is grouped correctly in each cluster or in clusters that contain group of applications of similar nature. To do this, network traffic captures will be created in a controlled environment in which every capture is classified and known to pertain to a specific application. Then, for each capture, all the flows will be extracted. These flows will be used to extract from them information such as date and arrival time or the IP length of the packets inside them. This information will be then loaded to a MySQL database where all the packets defining a flow will be classified and also, each flow will be assigned to its specific application. All the information obtained from the packets will be used to generate statistical parameters in order to describe each flow in the best possible way. After that, data mining techniques previously mentioned (PCA and Clustering) will be used on these parameters making use of the software RapidMiner. Finally, the results obtained from the data mining will be compared with the real classification of the flows that can be obtained from the database. A Confusion Matrix will be used for the comparison, letting us measure the veracity of the developed classification process.

Un contributo alla sostenibilità ambientale: metano e territorio in Campania

IX Giornata Studio INU Infrastrutture blu e verdi, reti virtuali, culturali e sociali