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Institution

INESC-ID

NonprofitLisbon, Portugal
About: INESC-ID is a nonprofit organization based out in Lisbon, Portugal. It is known for research contribution in the topics: Field-programmable gate array & Control theory. The organization has 932 authors who have published 2618 publications receiving 37658 citations.


Papers
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Book ChapterDOI
20 Oct 2004
TL;DR: This paper describes a component that deals with everything related to the domains of dialogue systems, and explains what and how it passes all the information that a dialogue manager needs to conduct a dialogue.
Abstract: Building a generalized platform for having dialogues is a hard problem in the topic of dialogue systems. The problem becomes still more difficult if there is the possibility of having a conversation about more than one domain at the same time. To help solving this problem, we have built a component that deals with everything related to the domains. In this paper, we describe this component, named Service Manager, and explain what and how it passes all the information that a dialogue manager needs to conduct a dialogue.

10 citations

Proceedings ArticleDOI
01 Sep 2019
TL;DR: A novel propagation model is proposed which combines drive test measurements, cell reach statistics, antenna radiation patterns, terrain morphologies, and classical theoretical propagation models and fits with DT measurements.
Abstract: In radio access network planning and optimisation, the estimation and evaluation of cell coverage is crucial. For it, operators use several methodologies, ranging from theoretical propagation models for planning cell coverage, to drive test measurements for evaluating the performance within a cell. A novel propagation model is proposed which combines drive test measurements, cell reach statistics, antenna radiation patterns, terrain morphologies, and classical theoretical propagation models. Considering a realistic scenario of an LTE cell, the use of a classical propagation model such as Walfish- Ikegami results in an average error of -27 dB of estimations with respect to measurements, evidencing a pessimistic estimation of signal. By opposition, the proposed model fits with DT measurements.

10 citations

Book ChapterDOI
05 May 2014
TL;DR: This paper provides a structural model of the chains and their viewpoints, and a specification of how to use that structure within a process that supports the formalization of the rationale behind system development decisions.
Abstract: In this paper we provide a model for the bonding of systems in a value network. Our main contributions are: 1) a structural model of the chains and their viewpoints, and 2) a specification of how to use that structure within a process that supports the formalization of the rationale behind system development decisions. To provide a solution to this challenge we combine System Development and Value Modeling disciplines. From DEMO, we use the Generic System Development Process from the Tao-theory and its Value-oriented System Development Process implementation. We formalize basic concepts from e3Value, namely start stimulus, end stimulus, gates and scenario paths in an integrated way with system construction models. We provide a methodology for constructing e3Value models systematically and improve DEMO modeling by devising individual value networks in an adequate way and how different system components combine to form them.

10 citations

Proceedings ArticleDOI
26 Dec 2018
TL;DR: A quasi-Z-source (qZS) converter that allows to supply multilevel voltages for the switched reluctance machine (SRM) drive and regulates the output voltages and the difference between the voltage levels is presented.
Abstract: This paper presents a quasi-Z-source (qZS) converter that allows to supply multilevel voltages for the switched reluctance machine (SRM) drive. The use of qZS converter in SRM drives allows obtaining better high speed operation characteristics since higher voltages can be achieved. The proposed drive uses a qZS converter but designed in order to be possible to apply, to the SRM, different voltage levels on the magnetizing and demagnetizing stages. The presented converter also allows to regulate the output voltages and the difference between the voltage levels. Thus, it is possible to improve the efficiency of the drive, by reducing the switching frequency, as well as having better characteristics for high-speed operation. Different configurations of the converter are presented and the modulator associated to the SRM drive is described. In order to verify the features of the proposed system several results are also presented and discussed.

10 citations

Book ChapterDOI
23 Sep 2002
TL;DR: This work presents a method and algorithm for the inference of sequential association rules that uses context-free grammars to guide the discovery process, in order to filter, in an efficient and effective way, the associations discovered by the algorithm.
Abstract: One of the main unresolved problems in data mining is related with the treatment of data that is inherently sequential. Algorithms for the inference of association rules that manipulate sequential data have been proposed and used to some extent but are ineffective, in some cases, because too many candidate rules are extracted and filtering the relevant ones is difficult and inefficient. In this work, we present a method and algorithm for the inference of sequential association rules that uses context-free grammars to guide the discovery process, in order to filter, in an efficient and effective way, the associations discovered by the algorithm.

10 citations


Authors

Showing all 967 results

NameH-indexPapersCitations
João Carvalho126127877017
Jaime G. Carbonell7249631267
Chris Dyer7124032739
Joao P. S. Catalao68103919348
Muhammad Bilal6372014720
Alan W. Black6141319215
João Paulo Teixeira6063619663
Bhiksha Raj5135913064
Joao Marques-Silva482899374
Paulo Flores483217617
Ana Paiva474729626
Miadreza Shafie-khah474508086
Susana Cardoso444007068
Mark J. Bentum422268347
Joaquim Jorge412906366
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
202252
202196
2020131
2019133
2018126