Articles — Two-column

his project is part of the FlowNet initiative. FlowNet aims at providing Internet freedom and free flow information through socially informed, censor resistant online social networks. My contribution for FLowNet is in devel- oping an Android application, SecurePost. The requirement for SecurePost is two-fold. First, the system should facilitate secure, anonymous, group communication within a closed group of trusted members. Second, the general public on the Internet viewing this content, should be able to verify that the content was generated only by the said closed group of trusted members. The system consists of an Android client application, a proxy server and a browser-plugin. The OSNs supported by this system are Twitter and Facebook.

I analyzed the Hextech-Crafting in a Stochastic Simulation with 10 Million Players and found that you're going to make more Riot Points than you spend (in value) and thats without counting Champs. I've made some assumptions, which can be found down in the paper itself for those interested. For everyone else: If you're trying to maximize your RP-Net-Worth stack up on Hextech Chests.

In the last few years the resolution of NLP tasks with architectures composed of neural models has taken vogue. There are many advantages to using these approaches especially because there is no need to do features engineering. In this paper, we make a survey of a Deep Learning architecture that propose a resolutive approach to some classical tasks of the NLP. The Deep Learning architecture is based on a cutting-edge model that exploits both word-level and character-level representations through the combination of bidirectional LSTM, CNN and CRF. This architecture has provided cutting-edge performance in several sequential labeling activities for the English language. The architecture that will be treated uses the same approach for the Italian language. The same guideline is extended to perform a multi-task learning involving PoS labeling and sentiment analysis. The results show that the system performs well and achieves good results in all activities. In some cases it exceeds the best systems previously developed for Italian.

Las observaciones han mostrado que el numero de neutrinos electrónicos νe que llegan a la tierra desde el sol es aproximadamente la mitad del número esperado de nuestro conocimiento de las reacciones nucleares que ocurren al interior del sol. Estas observaciones se explican como el resultado de que algunos neutrinos electrónicos νe se convierten en neutrinos muónicos νμ y neutrinos tauónicos ντ durante su recorrido entre su creación al interior del sol y su observación en la tierra. Este cambio de un sabor a otro se conoce como oscilaciónes del neutrino. Se introduce un término de masa para el neutrino que es invariante de Lorentz en la densidad lagrangiana del modelo estándar (SM), y se describe el estado del neutrino |να⟩(α = e, μ, τ) como una combinación lineal de autoestados de masa |νi⟩ (i=1,2,3), lo cual conduce a las oscilaciones del neutrino.

O programa detalhado a seguir apresenta a jogo da cobrinha implementado em Assembly MIPS

Physics being an experimental science, we sought to learn how to prepare a lab and perform as a team accounting for errors and uncertainties and to reduce them. We gathered values for volume using Micrometer, gathered information on acceleration, velocity, and created a histogram using a PASCO motion sensor. A jumping experiment was also performed with a human and the motion sensor. Our main goal was to test the effects of human error and eliminating mechanical error.

Computer vision systems can be applied to a wide variety of tasks, but some of the most interesting are those related with security and surveillance. Within this group, our application for Video Surveillance for Road Traffic Monitoring can be placed. We propose a solution based on machine learning and video analysis techniques that involves the whole process: database evaluation, background estimation, foreground segmentation, video stabilization and object tracking. As a result of this, our system will be able to monitorize some basic parameters of traffic flow as vehicles counting or speed estimation.

This paper implements Simultaneous Localization and Mapping (SLAM) technique to construct a map of a given environment. A Real Time Appearance Based Mapping (RTAB-Map) approach was taken for accomplishing this task. Initially, a 2d occupancy grid and 3d octomap was created from a provided simulated environment. Next, a personal simulated environment was created for mapping as well. In this appearance based method, a process called Loop Closure is used to determine whether a robot has seen a location before or not. In this paper, it is seen that RTAB-Map is optimized for large scale and long term SLAM by using multiple strategies to allow for loop closure to be done in real time and the results depict that it can be an excellent solution for SLAM to develop robots that can map an environment in both 2d and 3d.

The Internet has become the broadest area in which to exchange information and communicate.Some use this function in a positive way, whilst others do so negatively. With the growth of the Internet, social networks have also grown. Social networks are used in different fields and for different proposes. They are used in higher education to enhance training and collaborative learning and exchange knowledge in an interaction environment. This paper aims at finding the 10 best universities by measuring the use of social networks in education.Universities are selected for this experiment from the Academic Influence Ranking website for the domain of computer science overall (type A) (for more information about the selected universities please visit this link: http://pubstat.org/).