Articles tagged Two-column

實驗一 基本測量
目的:
熟悉分析實驗數據的方法,測量並分析誤差。
學習有效數的處理。
了解螺旋測微器(Micrometer)的操作方式並用以測定微小物體的厚度或直徑等。
了解游標尺(Vernier caliper)的操作方式並用以測量塑膠管的深度及內、外徑。
黃雅柔

Language Retention and Tutoring: LanGauger
We all have a good reason to learn a new language; discovering our roots, passion for travel, academic purposes, pure interest etc. However most of us find it hard to become conversationally fluent in a new language while we use traditional resources for learning like textbooks and tutorials on the internet. In this paper we propose a novel approach to learn a new language. We aim to develop an intelligent browser extension, LanGauger, that will help users learn foreign languages. This application will allow users to look up words while they are browsing, by highlighting the text to be learned. The application will then provide a translation of the word, its pronunciation and its usage context in sentences. In addition, this intelligent tutor will also remember what words have been seen by the user, and quiz them on these words at appropriate times. While testing the recall of the user, this feature will also allow users to frequently think about the language and use it.
Sai Sujith Reddy Mankala

Andrew Restrest's CV
Created using the Classicthesis-Styled CV LaTeX Template
Version 1.0 (22/2/13) from LaTeXTemplates.com, originally by Alessandro Plasmati
Andrew Restrest

Video Digital y Procesamiento de Imágenes
En este documento se encuentra el desarrollo del primer laboratorio de la asignatura Vídeo Digital y Procesamiento de Imágenes el cual trata sobre el análisis de los sensores fotográficos y los metadatos de las imágenes tomadas, Ademas de la creación de algunos scripts en el programa Matlab para lo que se tiene que tener en cuenta la información de geolocalización o GPS de las imágenes.
Keywords — GPS, Matlab, Metadatos
Ricardo Correa

Análisis de sentimientos
El análisis de sentimientos o minería opinión es el campo de estudio que analiza las opiniones, sentimientos, valoraciones, actitudes y emociones de la gente en lenguaje escrito. Es un área donde el procesamiento del lenguaje natural, la minería de datos, minería web y minería de texto se encuentran. Por ello, presentamos algunos conceptos necesarios para la comprensión de las características e implementación de estos métodos para la concepción de un sistema de un sistema de análisis de sentimientos.
Manuel Araujo

Extension of Debarghya Das - by Alex Sullivan
Created using the Deedy CV/Resume
XeLaTeX Template
Version 1.0 (5/5/2014)
This template has been downloaded from:
http://www.LaTeXTemplates.com
Original author:
Debarghya Das (http://www.debarghyadas.com)
With extensive modifications by:
Vel (vel@latextemplates.com)
sullivan1513

Conservative Wasserstein Training for Pose Estimation
Paper presented at ICCV 2019.
This paper targets the task with discrete and periodic
class labels (e.g., pose/orientation estimation) in the context of deep learning. The commonly used cross-entropy or
regression loss is not well matched to this problem as they
ignore the periodic nature of the labels and the class similarity, or assume labels are continuous value. We propose to
incorporate inter-class correlations in a Wasserstein training framework by pre-defining (i.e., using arc length of a
circle) or adaptively learning the ground metric. We extend
the ground metric as a linear, convex or concave increasing
function w.r.t. arc length from an optimization perspective.
We also propose to construct the conservative target labels
which model the inlier and outlier noises using a wrapped
unimodal-uniform mixture distribution. Unlike the one-hot
setting, the conservative label makes the computation of
Wasserstein distance more challenging. We systematically
conclude the practical closed-form solution of Wasserstein
distance for pose data with either one-hot or conservative
target label. We evaluate our method on head, body, vehicle and 3D object pose benchmarks with exhaustive ablation studies. The Wasserstein loss obtaining superior performance over the current methods, especially using convex mapping function for ground metric, conservative label,
and closed-form solution.
Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, B.V.K. Vijaya Kumar

Feasibility of Simultaneous Information and Energy Transfer in LTE-A Small Cell Networks
Simultaneous information and energy transfer (SIET) is attracting much attention as an effective method to provide green energy supply for mobiles. However, low power level of harvested energy from RF spectrum limits application of this technique. Thanks to improvement of sensitivity and efficiency of RF energy harvesting circuit as well as dense deployment of small cell base stations, SIET becomes more practical. In this paper, we propose a unified receiver model for SIET in LTE-A small cell base station networks, formulate a feasibility problem with Poisson point process model and analyze the feasibility for a special and practical scenario. The results show that it is feasible for mobiles to charge the secondary battery with harvested energy from BSs, but it is still impractical to directly charge the primary battery or operate without any battery at all.
Hongxing Xia

Management and Processing of Discographic Data with Amazon Elastic MapReduce
The purpose of this report is to explain how – by leveraging on the capabilities of the amazon web services – it is possible to manage and process a set of data that is too large and complex for traditional data processing techniques and technologies.
The report discusses the implementation of a set of services – from the retrieval of external data to its transformation, through the storage on non relational databases and finally the parallel computation on an external cluster – meant for the management of discographic information in order to easily join different data in an agile manner and subsequently perform additional processing based on the joined output.
Pierluigi Videsott