Articles — Two-column

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.

For an electron moving in a circular path in a magnetic field, if we know the magnetic field strength, accelerating voltage, and radius of the electron's trajectory, then we can make an estimation of the electron's charge to mass ratio. We calculated an average charge to mass ratio of \(2.08 \times 10^{11} \pm 1.81 \times 10^8\) Coulombs per kilogram.

本次Lab设计一个家庭（宿舍、实验室）网络。说明用户需求（功能及服务），采用的技术（802.11/802.3）及主要设备的型号、传输介质及其特性，给出网络结构的描述（可用Visio工具绘图），所需费用；提出一些与技术与应用相关的问题。ISP提供的接口：有线电视、移动、联通、电信 用户计算机数：台式机、笔记本、智能手机使用方式及性能：固定、移动；带宽需求典型设备：AP路由器、交换机、专用服务器网络安装与测试费用：设备购置、使用费、维护费。

How to conceal objects from electromagnetic radiation has been a hot research topic. Radar is an object detection system that uses Radio waves to determine the range, angle, or velocity. A radar transmit radio waves or microwaves that reflect from any object in their path. A receive radar is typically the same system as transmit radar, receives and processes these reflected wave to determine properties of object. Different organizations are working onto hide object from the radar in outer space. Any confidential object can be taken through space without being detected by the enemies. This calls for necessity of devising new method to conceal an object electromagnetically.

Este artigo tem como objetivo relatar e detalhar a construção de um conversor buck-boost. Cuja a função deste é converter uma tensão cc (corrente contínua) de entrada, em outra tensão cc em sua saída, de valor mais elevado ou inferior dependendo de sua configuração. Destaca-se aqui o uso de um semi condutor MOSFET que funciona como uma chave controladora. Na elabiração deste está destacada o funcionamento, principais características e toda a parte de simulação e comprovação prática deste conversor.

Transferencia de calor en intercambiadores depasos múltiples

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.

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.

Biometric refers to the automatic identification of a person based on his or her physiological and individual characteristics that can be easily verified. Among the featured measures of this system are face, fingerprint, speech recognition, retinal and signature etc. To fortify the actual presence of a real trait against a fake self-generated sample biometric system is used. In this research paper, the focus is laid on basic techniques for security system. Face recognition. In face recognition, facial recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject’s face. [1]We can apply it to the servo motors using train database and test database. If the data matches the train database, it sends the command to the servo motors which in turn will open the door. [2]The UI displays ACCESS ACCEPTED or ACCESS DENIED based on the recognition using test and trained databases.This system is implemented using MATLAB.