A utilização dos sistemas de rastreamento no transporte rodoviário de cargas na cidade de São Paulo

Orientador: Ademir ClementeMonografia(Graduaçao) - Universidade Federal do Paraná,Setor de Ciencias Sociais Aplicadas, Curso de Ciencias Econômica

The relationship between IT infrastructure leveraging, talent management and operational sustainability, and their effects on the business value of the operations strategy

The purpose of this research is to examine the role of information technology (IT) in the adoption of human resources (HR) and environmental management activities, a research topic that has not received much attention in prior literature. Drawing on the theory of operational and dynamic capabilities, we propose a model in which IT infrastructure leveraging enables the firm to create value from its operations management both directly and indirectly through talent management and operational sustainability. We test the model using the structural equation modeling (SEM) technique with an innovative secondary data set collected for a sample of 63 large firms. The empirical analysis suggests that IT infrastructure leveraging enables the firm’s proficiency to manage talent, which in turn facilitates execution of a more sustainable operations strategy to increase firm performance. The analysis also shows that IT infrastructure leveraging impacts firm performance directly in the long-term

Adaptive posterior distributions for covariance matrix learning in Bayesian inversion problems for multioutput signals

In this work, we propose an adaptive importance sampling (AIS) scheme for multivariate Bayesian inversion problems, which is based in two main ideas: the inference procedure is divided in two parts and the variables of interest are split in two blocks. We assume that the observations are generated from a complex multivariate non-linear function perturbed by correlated Gaussian noise. We estimate both the unknown parameters of the multivariate non-linear model and the covariance matrix of the noise. In the first part of the proposed inference scheme, a novel AIS technique called adaptive target AIS (ATAIS) is designed, which alternates iteratively between an IS technique over the parameters of the non-linear model and a frequentist approach for the covariance matrix of the noise. In the second part of the proposed inference scheme, a prior density over the covariance matrix is considered and the cloud of samples obtained by ATAIS are recycled and re-weighted for obtaining a complete Bayesian study over the model parameters and covariance matrix. Two numerical examples are presented that show the benefits of the proposed approach

Real-time moving object segmentation in H.264 compressed domain based on approximate reasoning

AbstractThis paper presents a real-time segmentation algorithm to obtain moving objects from the H.264 compressed domain. The proposed segmentation works with very little information and is based on two features of the H.264 compressed video: motion vectors associated to the macroblocks and decision modes. The algorithm uses fuzzy logic and allows to describe position, velocity and size of the detected regions in a comprehensive way, so the proposed approach works with low level information but manages highly comprehensive linguistic concepts. The performance of the algorithm is improved using dynamic design of fuzzy sets that avoids merge and split problems. Experimental results for several traffic scenes demonstrate the real-time performance and the encouraging results in diverse situations

Automatic tempered posterior distributions for bayesian inversion problems

We propose a novel adaptive importance sampling scheme for Bayesian inversion problems where the inference of the variables of interest and the power of the data noise are carried out using distinct (but interacting) methods. More specifically, we consider a Bayesian analysis for the variables of interest (i.e., the parameters of the model to invert), whereas we employ a maximum likelihood approach for the estimation of the noise power. The whole technique is implemented by means of an iterative procedure with alternating sampling and optimization steps. Moreover, the noise power is also used as a tempered parameter for the posterior distribution of the the variables of interest. Therefore, a sequence of tempered posterior densities is generated, where the tempered parameter is automatically selected according to the current estimate of the noise power. A complete Bayesian study over the model parameters and the scale parameter can also be performed. Numerical experiments show the benefits of the proposed approach.This work was partially supported by the Office of Naval Research (award no. N00014-19-1-2226), the Spanish Ministry of Science and Innovation (RTI2018-099655-B- I00 CLARA and PID2019-105032GB-I00 SPGRAPH), the Foundation by the Community of Madrid in the framework of the Multiannual Agreement with the Rey Juan Carlos University in line of action 1, Encouragement of Young Ph.D. students investigation Project under Grant F661, and the regional Government of Madrid (Comunidad de Madrid, reference Y2018/TCS-4705 PRACTICO)

La comunicació cap a l'usuari al Campus del Baix Llobregat

La Biblioteca del Campus del Baix Llobregat de la Universitat Politècnica de Catalunya a Castelldefels dona suport a les dues escoles del Campus: l’Escola Superior d’Agricultura de Barcelona (ESAB), l’Escola d’Enginyeria de Telecomunicació i Aeroespacial de Castelldefels (EETAC) i a la comunitat present al Campus. Actualment existeixen diferents canals de comunicació. Un dels objectius prioritaris d’aquesta comunicació és donar a conèixer com funciona el servei de comunicació de la biblioteca i del campus del Baix Llobregat i quina ha estat l’evolució i modificació dels canals. S’han realitzat diferents tècniques d’avaluació (Design Thinking, enquestes...) dels nostres canals, per saber les opinions i el feedback dels nostres usuaris i arran d’aquestes opinions hem descobert i aplicat canvis en els sistemes de comunicació.The Campus of Baix Llobregat Library located in Castelldefles gives services to two UPC schools: EETAC(Castelldefels School of Telecommunications and Aerospace Engineering) and ESAB (Barcelona School of Agricultural Engineering) and the rest of community who study or work in the campus. In the Campus of Baix Llobregat there are several communication channels. The main purpose of this article is to show the evolution of the channels from the beginning of the campus (ten years ago) to our days. This evolution is promoted by the change on the users needs and for the new channels appeared. The information to change a channel or communication systems comes from the user’s interview and from the library experience.Postprint (author's final draft

Bio-Informática: desarrollo de un software palinológico para un laboratorio del NEA

La propuesta presenta el desarrollo logrado, un aplicativo y su posterior transferencia, mediante la utilización de una metodología de Ingeniería de Software. El objetivo principal consistió en el desarrollo de un Sistema Bio-Informático para registro y consulta de ejemplares de polen, en microfotografías con sus respectivas descripciones morfológicas y mediciones. Se seleccionó una metodología y se aplicaron diversas herramientas informáticas, coordinando un trabajo de cooperación entre especialistas del Gabinete Informático y el laboratorio de Palinología. Se obtuvo un desarrollo interdisciplinario, cuya importancia, radica en la digitalización de los delicados ejemplares para asegurar su conservación, así mismo el ingreso de información desde el lugar de re-colección y posterior visita virtual por parte de diferentes usuarios, lo que permite la extensión del alcance en el ámbito científico de las colecciones palinológicas.Sociedad Argentina de Informática e Investigación Operativ