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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.


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Book ChapterDOI
11 Oct 2017
TL;DR: A new small and portable device that can provide touch, taste and smell sensations to an augmented reality experience and integrate and connect with the user’s smartphone to provide the complete five-sense experience is presented.
Abstract: The purpose of this work is to present a portable hardware device that can provide touch, taste and smell sensations to an augmented reality experience. The proposed hardware is part of a mobile five senses augmented reality system for Museums, to improve and augment, as much as possible, the visiting of a museum, i.e., see, ear, touch, feel and experience all its interesting objects. The existing solutions related to the augment of sensing experiences consist of big hardware systems and they are far from being portable. In this work, a new small and portable device is presented, to integrate and connect with the user’s smartphone to provide the complete five-sense experience. The implemented device adds to the complete augmented system, the touch, smell and taste experiences. Moreover, the device is flexible enough to adapt itself to different sizes of the user’s smartphone or tablet. It is powered by a rechargeable battery, which gives the module the ability to keep the system running during the visit of the museum. The core unit is a microcontroller, it receives instructions from the mobile application in the user’s smartphone and acts accordingly, controlling the remaining hardware of the portable device to deliver the five-sense experience to the user. The communication between the device and the mobile application is possible through wireless communication, using a Bluetooth interface. The communication with the remaining module, denoted here as physical interfaces, will be wired. Preliminary results of device’s first prototype are also presented in this paper.

11 citations

Journal ArticleDOI
TL;DR: This paper addresses the modeling and simulation of power supply voltage transients (Δ VDD) in digital SoC, namely their impact on SoC core’s performance, and shows that the tolerance to Δ VDD disturbances is significantly lower than the one observed in combinational CUT, due to de-synchronization effects in storage elements.
Abstract: This paper addresses the modeling and simulation of power supply voltage transients (? VDD) in digital SoC (Systems on a Chip), namely their impact on SoC core's performance. The goal is to verify, in a cost-effective way, core's fault tolerance to this disturbance, aiming at EMI/EMC standard compliance. The two key parameters are the time slack and the defect size. A top-down approach is used to introduce an innovative fault injection and simulation technique. In fact, fault simulation is carried out either by using faulty delays (defect size as a function of ? VDD magnitude) in the CUT (Core Under Test) and nominal time excitation rate, or by using a fault-free CUT description and faster test application times (speed-up proportional to ? VDD magnitude). A bottom-up approach, using electrical simulation, is extensively used to demonstrate the adequacy of exploiting this duality between time excitation and delay response, for combinational CUT. We refer this duality as the "accordion" effect. For sequential circuits, and for pipeline circuits, it is shown that the tolerance to ? VDD disturbances is significantly lower than the one observed in combinational CUT, due to de-synchronization effects in storage elements. This effect depends on the clock distribution network and is a consequence of differently delayed responses of the CUT and of the clock network. Results are demonstrated using basic infrastructures and ISCAS benchmark circuits.

11 citations

Proceedings ArticleDOI
20 Jun 2011
TL;DR: In this article, a canal made of four sequential pools is considered, the gates between adjacent pools being the actuators, and a distributed model predictive control (MPC) algorithm is used.
Abstract: Water delivery canals are large, spatially distributed structures whose objective is to bring in a continuous way water from the sources to the points were it is used. Due to their large scale character, the backbone of water delivery canals modeling is made of partial differential equations, in particular the Saint-Venant equations that embody mass and moment conservation. As a consequence this type of plants have an infinite dimension and are difficult to control due to phenomena like wave formation and a strong interaction between different parts. In this work, a canal made of four sequential pools is considered, the gates between adjacent pools being the actuators. In order to tackle the above dynamic characteristics, in particular the strong interaction between canal subsystems, a distributed model predictive control (MPC) algorithm is used. As such, the controllers driving each gate communicate with each other in order to make coordinate moves. The resulting algorithm is a sub-optimal version of a centralized, multivariable, MPC controller. The paper presents the distributed MPC algorithm applied to the canal and shows that it is a near optimum approximation.

11 citations

Proceedings ArticleDOI
14 Oct 2008
TL;DR: A new method for target control infusion (TCI) for neuromuscular blockade (NMB) level control of patients subject to general anaesthesia is presented, which combines an inversion of the pharmacokinetic/pharmacodynamic (PK/PD) model with a hybrid parameter estimation method that uses on-line data from the initial bolus response to estimate the model parameters.
Abstract: The paper presents a new method for target control infusion (TCI) for neuromuscular blockade (NMB) level control of patients subject to general anaesthesia. The method combines an inversion of the pharmacokinetic/pharmacodynamic (PK/PD) model with a hybrid parameter estimation method that uses on-line data from the initial bolus response to estimate the model parameters. Although atracurium is considered as relaxant, the newly proposed method may be applied to other drugs for which the PK/PD model is available. Simulation results on a bank of 100 patient models are presented to demonstrate the achievable performance.

11 citations

Proceedings ArticleDOI
21 Nov 2007
TL;DR: This work analyzes the effect of representing constants under binary, CSD, and MSD representations on the minimum number of operations required in a multiple constant multiplications problem and proposes problem reduction and model simplification techniques that significantly reduce the search space.
Abstract: In this work, we analyze the effect of representing constants under binary, CSD, and MSD representations on the minimum number of operations required in a multiple constant multiplications problem. To this end, we resort to a recently proposed algorithm that computes the exact minimum solution. To extend the applicability of this algorithm to much larger instances, we propose problem reduction and model simplification techniques that significantly reduce the search space. We have conducted experiments on a rich set of instances including randomly generated and FIR filter instances. The results show that, contrary to common belief, the binary representation clearly yields better solutions than CSD, and even provides slightly better solutions than MSD. Moreover, the superiority of the binary solutions increases as the number and bit-width of the constants increase.

11 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