Search results for "Data analysis"

Noise-enhanced propagation in a dissipative chain of triggers

2002

International audience; We study the influence of spatiotemporal noise on the propagation of square waves in an electrical dissipative chain of triggers. By numerical simulation, we show that noise plays an active role in improving signal transmission. Using the Signal to Noise Ratio at each cell, we estimate the propagation length. It appears that there is an optimum amount of noise that maximizes this length. This specific case of stochastic resonance shows that noise enhances propagation.

A strategic needs perspective on operations outsourcing and other inter-firm relationships

2013

Abstract This paper considers two issues: the formation of inter-firm relationships, and the choice of governance form. These have been widely investigated in both the strategic management and operations management fields. This paper contributes to the literature in three ways. First, we address why firms enter inter-firm relationships by hypothesizing that managers enter them to pursue three strategic needs, that is: efficiency/effectiveness, knowledge/learning, and global market access. Our first contribution evidences the relationship between the above strategic needs and a number of operational objectives that managers normally pursue in an inter-firm relationship. Second, we hypothesiz…

A software tool via web for the statistical data analysis; R-php

2007

The spread of Internet and the growing demand of services from the web users have changed and are still changing the way to organize the work or the study. Nowadays, the main part of information and many services are on the web and the software is going toward the same direction: in fact, the use of software implemented via web is ever-increasing, with a client-server logic that enables the “centralized” use of software installed on a server. In this paper we describe the Structure and the running of R-php, an environment for statistical analysis, freely accessible and attainable through the World Wide Web, based on the statistical environment R. R-php is based on two modules: a base module…

Symbolic Reductionist Model for Program Comprehension

2007

This article presents the main features of a novel construction, symbolic analysis, for automatic source code processing. The method is superior to the known methods, because it uses a semiotic, interpretative approach. Its most important processes and characteristics are considered here. We describe symbolic information retrieval and the process of analysis in which it can be used in order to obtain pragmatic information. This, in turn, is useful in understanding a current Java program version when developing a new version.

Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes

2019

The availability of satellite optical information is often hampered by the natural presence of clouds, which can be problematic for many applications. Persistent clouds over agricultural fields can mask key stages of crop growth, leading to unreliable yield predictions. Synthetic Aperture Radar (SAR) provides all-weather imagery which can potentially overcome this limitation, but given its high and distinct sensitivity to different surface properties, the fusion of SAR and optical data still remains an open challenge. In this work, we propose the use of Multi-Output Gaussian Process (MOGP) regression, a machine learning technique that learns automatically the statistical relationships among…

Open data from the first and second observing runs of advanced LIGO and advanced Virgo

2021

Abbot, Rich, et al. (Virgo and MAGIC Collaboration)

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

2019

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400~GeV$/c$ SPS proton beam dump and which travel distances between fifty metres and tens of kilometers. The SHiP detector needs to operate under ultra-low background conditions and requires large simulated samples of muon induced background processes. Through the use of Generative Adversarial Networks it is possible to emulate the simulation of the interaction of 400~GeV$/c$ proton beams with the SHiP target, an otherwise computationally intensive process. For th…

40 years of time geography: from the conceptual framework to the GI Science contributions

2011

International audience; Social scientists studying the effects of space on human behavior usually consider the time dimension as an external factor. Activities are analyzed in an aggregate sense such that the process of individual decision-making is depicted as the single case of "the average individual." In order to link efficiently space and time dimensions, Torsten Hägerstrand defined in 1970's the concept of Time Geography and thereby founded the school of Swedish geography. His conceptual framework was destined to change the course of history in the social sciences. After 40 years, this success has transcended scientific boundaries. In this paper, we propose to review the evolution of …

Anaconda, qualitative data analysis software for Catalyse

2013

Issues in synthetic data generation for advanced manufacturing

2017

To have any chance of application in real world, advanced manufacturing research in data analytics needs to explore and prove itself with real-world manufacturing data. Limited access to real-world data largely contrasts with the need for data of varied types and larger quantity for research. Use of virtual data is a promising approach to make up for the lack of access. This paper explores the issues, identifies challenges, and suggests requirements and desirable features in the generation of virtual data. These issues, requirements, and features can be used by researchers to build virtual data generators and gain experience that will provide data to data scientists while avoiding known or …