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Visita a las instalaciones del Instituto de Microelectrónica de Sevilla. El IMSE participó en la Semana de la Ciencia 2014 con la organización de unas jornadas de puertas abiertas dirigidas al público general y estudiantes.
13, 14, 19 y 20 Noviembre 2014
Test de configurabilidad para circuitos analógicos
embebidos.
Dr. Eduardo Romero y Dra. Gabriela Peretti, profesores en la Universidad Tecnológica Nacional, Facultad Regional Villa María, Argentina.
20 Noviembre 2014
El capítulo español de la IEEE Circuits and Systems Society, presidido por la Dra. Teresa Serrano Gotarredona, investigadora del IMSE-CNM, ha recibido el premio al mejor capítulo de la sección española del IEEE en 2014. El premio fue recogido por el Dr. José M. de la Rosa, secretario del capítulo y profesor de la Universidad de Sevilla.
31 Octubre 2014
♦ Seminario IMSE-Forum
Fiabilidad y variabilidad dependiente del tiempo en dispositivos CMOS nanométricos.
Dr. Javier Martín, Profesor de la Universidad Autónoma de Barcelona.
23 Octubre 2014

75 aniversario del Consejo Superior de Investigaciones Científicas (CSIC)

Oferta de servicios basados en el sistema automático de test ATE Agilent 93000

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Últimas publicaciones
Demo: A prototype vision sensor for real-time focal-plane obfuscation through tunable pixelation  »
Privacy concerns are hindering the introduction of smart camera networks in prospective application scenarios like retail analytics, factory monitoring or elderly care. The idea of networked cameras pervasively collecting data generates social rejection in the face of sensitive information being tampered by hackers or misused by legitimate users. New strategies must be developed in order to ensure privacy from the very point where sensitive data are generated: the sensors. Protection measures embedded on-chip at the front-end sensor of each network node significantly reduce the number of trusted system components as well as the impact of potential software flaws. In this demonstration, we present a full-custom QVGA vision sensor that can be recongured to implement programmable pixelation of image regions at the focal plane. In particular, we show on-the-fly focal-plane face obfuscation supported by the Viola-Jones frontal face detector provided by OpenCV.

Conference Paper - IEEE/ACM Int. Conference on Distributed Smart Cameras ICDSC 2014
J. Fernández-Berni, R. Carmona-Galán, R. del Río, R. Kleihorst, W. Philips and A. Rodríguez-Vázquez
Experimental validation of a two-phase clock scheme for fine-grained pipelined circuits based on monostable to bistable logic elements  »
Research on fine-grained pipelines can be a way to obtain high-performance applications. Monostable to bistable (MOBILE) gates are very suitable for implementing gate-level pipelines, which can be achieved without resorting to memory elements. The MOBILE operating principle is implemented operating two series connected negative differential resistance devices with a clock bias. This brief describes and experimentally validates a two-phase clock scheme for such MOBILE-based ultragrained pipelines. Its advantages over other reported interconnection schemes for MOBILE gates, and also over pure CMOS two-phase counterparts, are stated and analyzed. Chains of MOBILE gates have been fabricated and the experimental results of their correct operation with a two-phase clock scheme are provided. As far as we know, this is the first working MOBILE circuit to have been reported with this interconnection architecture.

Journal Paper - IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 22, no. 10, pp 2238-2242, 2014
IEEE
DOI: 10.1109/TVLSI.2013.2283306   » doi
ISSN: 1063-8210
J. Nuñez, M.L. Avedillo and J.M. Quintana
Bottom-up performance analysis of focal-plane mixed-signal hardware for Viola-Jones early vision tasks  »
Focal-plane mixed-signal arrays have traditionally been designed according to the general claim that moderate accuracy in processing is affordable. The performance of their circuitry has been analyzed in these terms without a comprehensive study of the ultimate consequences of such moderate accuracy. In this paper, for the first time to the best of our knowledge, we do carry out this study. We move expectable performance of mixed-signal image processing hardware directly into the vision algorithm making use of it. This permits to close a wider design loop, enabling a more aggressive design of this kind of hardware provided that the algorithm, at the highest level -semantic interpretation of the scene-, can afford it. Thus, we present a thorough analysis of the non-idealities associated with the implementation of a QVGA array tailored for the distinctive characteristics of the Viola-Jones processing framework. The resulting deviation models are then introduced in the processing flow of this framework provided by the OpenCV library. We have found, contrary to what could be expected, that these deviations do not necessarily degrade the performance of the Viola-Jones algorithm. They could be even beneficial for certain high-level specifications. Additionally, we demonstrate the architectural advantages of our approach: exploitation of focal-plane distributed memory and ultra-low-power operation.

Journal Paper - International Journal of Circuit Theory and Applications, 2014
JOHN WILEY & SONS
DOI: 10.1002/cta.1996   » doi
ISSN: 0098-9886
J. Fernández-Berni, R. Carmona-Galán, R. del Río and A. Rodríguez-Vázquez
A 26.5nJ/px 2.64Mpx/s CMOS vision sensor for gaussian pyramid extraction  »
This paper introduces a CMOS vision sensor to extract the Gaussian pyramid with an energy cost of 26.5 nJ/px at 2.64 Mpx/s, thus outperforming conventional solutions employing an imager and a separate digital processor. The chip, manufactured in a 0.18 μm CMOS technology, consists of an arrangement of 88×60 processing elements (PEs) which captures images of 176×120 resolution and performs concurrent parallel processing right at pixel level. The Gaussian pyramid is generated by using a switched-capacitor network. Every PE includes four photodiodes, four MiM capacitors, one 8-bit single-slope ADC and one CDS circuit, occupying 44x44 μm2 . Suitability of the chip is assessed by using metrics pertaining to visual tracking.

Conference Paper - European Solid-State Circuits Conference ESSCIRC 2014
M. Suárez-Cambre, V. Brea, J. Fernández-Berni, R. Carmona-Galán, D. Cabello and A. Rodríguez-Vázquez
Retinomorphic event-based vision sensors: Bioinspired cameras with spiking output  »
State-of-the-art image sensors suffer from significant limitations imposed by their very principle of operation. These sensors acquire the visual information as a series of 'snapshot' images, recorded at discrete points in time. Visual information gets time quantized at a predetermined frame rate which has no relation to the dynamics present in the scene. Furthermore, each recorded frame conveys the information from all pixels, regardless of whether this information, or a part of it, has changed since the last frame had been acquired. This acquisition method limits the temporal resolution, potentially missing important information, and leads to redundancy in the recorded image data, unnecessarily inflating data rate and volume. Biology is leading the way to a more efficient style of image acquisition. Biological vision systems are driven by events happening within the scene in view, and not, like image sensors, by artificially created timing and control signals. Translating the frameless paradigm of biological vision to artificial imaging systems implies that control over the acquisition of visual information is no longer being imposed externally to an array of pixels but the decision making is transferred to the single pixel that handles its own information individually. In this paper, recent developments in bioinspired, neuromorphic optical sensing and artificial vision are presented and discussed. It is suggested that bioinspired vision systems have the potential to outperform conventional, frame-based vision systems in many application fields and to establish new benchmarks in terms of redundancy suppression and data compression, dynamic range, temporal resolution, and power efficiency. Demanding vision tasks such as real-time 3-D mapping, complex multiobject tracking, or fast visual feedback loops for sensory-motor action, tasks that often pose severe, sometimes insurmountable, challenges to conventional artificial vision systems, are in reach using bioinspired vision sensing and processing techniques.

Journal Paper - Proceedings of the IEEE, vol. 102, no. 10, pp 1470-1484, 2014
IEEE
DOI: 10.1109/JPROC.2014.2346153   » doi
ISSN: 0018-9219
C. Posch, T. Serrano-Gotarredona, B. Linares-Barranco and T. Delbruck
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