Search results for "software"
showing 10 items of 7396 documents
An analysis of model predictive control with integral action applied to digital displacement cylinders
2020
This article aims to analyze Model Predictive Control (MPC) for the control of multi-chamber cylinders. MPC with and without integral action has been introduced. Three different algorithms have been used to solve the optimization problem in the MPC. The different algorithms have been compared with an industrial solver. The influence of changing mass, choosing a different middle line pressure, system delays, signal noise, velocity estimation, and changing pressure levels has been investigated. It is concluded that for the small prediction horizon used in the paper a simple algorithm such as A can produce results as good as the previously used Differential Evolution algorithm in less than hal…
Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R
2019
We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.
Extracting (good) discourse examples from an oral specialised corpus of wine tasting interactions
2015
International audience; This article outlines the semi-automated extraction of dictionary examples used in the compilation of a professional online dictionary of wine tasting. Named OenoLex Bourgogne, this dictionary was started to respond to the demand for a lexicographic information tool from the French wine industry of Burgundy, the Bureau Interprofessionnel des Vins de Bourgogne.
Decentralized Deployment of Mobile Sensors for Optimal Connected Sensing Coverage
2008
In this paper, we address the optimal connected sensing coverage problem, i.e., how mobile sensors with limited sensing capabilities can cooperatively adjust their locations so as to maximize the extension of the covered area while avoiding any internal “holes”, areas that are not covered by any sensor. Our solution consists in a distributed motion algorithm that is based on an original extension of the Voronoi tessellation.
Global social knowledge management: from barriers to the selection of social tools
2013
Web 2.0 and Social Software revolutionize the knowledge exchange within and between organizations. This is one of the claims consultants and software vendors in the field have made. But have the promises been kept and has evidence been achieved so far, in particular for knowledge management in globally distributed settings? As a starting point, our paper introduces the field of Global Social Knowledge Management (GSKM). We see this area as one of the main research area for future research in the Knowledge Management domain. A variety of social software applications have already been seen promising and incorporated into the context of knowledge management (Avram 2006; Zheng and Zheng 2010; L…
Context-sensitive distraction warnings : effects on drivers' visual behavior and acceptance
2016
In this study, we investigated the effects of context-sensitive distraction warnings on drivers' in-car glance behaviors and acceptance. The studied prototype warning application functions on a smart phone. The novelty of the application is its proactive and context-sensitive approach to the adjustment of warning thresholds according to the estimated visual demands of the driving situation ahead. In our study, novice and experienced drivers conducted in-car tasks with a smart phone on a test track with and without the warnings. The application gave a warning if the driver's gaze was recognized to remain on the smart phone over a situation-specific threshold time, or if the driver was approa…
The role of expert evaluation for microsleep detection
2015
Abstract Recently, it has been shown by overnight driving simulation studies that microsleep density is the only known sleepiness indicator which rapidly increases within a few seconds immediately before sleepiness related crashes. This indicator is based solely on EEG and EOG and subsequent adaptive pattern recognition. Accurate microsleep recognition is very important for the performance of this sleepiness indicator. The question is whether expensive evaluations of microsleep events by a) experts are necessary or b) non-experts provide sufficient evaluations. Based on 11,114 microsleep events in case a) and 12,787 in case b) recognition accuracies were investigated utilizing (i) artificia…
e-Health and the Internet of Things. Definitions, applications, regulation, actors. Roadmap to a use cases research.
2015
This reports deals with the electronic health (e-Health) as a prism to study the Internet of Things. After having provided the necessary definitions and having described applications, regulators, regulations and actors both in the UK, in the US and in the EU, the author sets the basis for a use cases research regarding the e-prescribing.
VEBO: Validation of E-R diagrams through ontologies and WordNet
2012
In the semantic web vision, ontologies are building blocks for providing applications with a high level description of the operating environment in support of interoperability and semantic capabilities. The importance of ontologies in this respect is clearly stated in many works. Another crucial issue to increase the semantic aspect of web is to enrich the level of expressivity of database related data. Nowadays, databases are the primary source of information for dynamical web sites. The linguistic data used to build the database structure could be relevant for extracting meaningful information. In most cases, this type of information is not used for information retrieval. The work present…
Co-riding With My eBike to Get Green Lights
2019
Researchers are increasingly exploring interactive technology supporting human-system partnership in an exertion context, such as cycling. So far, most investigations have supported the rider cognitively, by the system "sensing and presenting" information to assist the rider to make informed decisions. In contrast, we propose systems that promote user-system co-operation, by "sensing and acting" on information to assist the rider, not only "cognitively" but also "physically", with the aim of facilitating user-system co-operation in an exertion context. Our prototype, "Ari", is a novel augmented eBike designed to facilitate user-system co-operation, where the information that each party can …