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Tribute to Professor José Luis Huertas, founder and first director of the IMSE-CNM, on the occasion of the tenth anniversary of the moving to the current building. In the act Professor Huertas gave a talk about the history of the Institute..
December 14, 2018
♦ Master's Dissertation defense
- Configurable Current Limitation Concept for Automotive Body Power Applications.
David Fernández Juanes
- Reguladores de tensión LDO de muy bajo consumo para aplicaciones de Energy Harvesting.
Óscar Pereira Rial
December 13, 2018
High Speed Digital Measurement Insights.
November 29, 2018
Sigma-Delta ADCs for IoT - Basics and Innovations.
Second Seasonal School in 'Circuits and Systems for the Industrial Internet-of-Things' (CAS4IIoT)
José M. de la Rosa
Nova University of Lisbon (FCT NOVA), Portugal
November 29, 2018
Semiconductor Intellectual Property (IP) start-ups.
Moises E. Robinson, President and Co-founder at Vidatronic, Inc.
Salón de Grados IMSE.
November 16, 2018

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Recent publications
The protoporphyrin content of Kentish Plover Charadrius alexandrinus eggshells is better predicted by the fractal dimension of spottiness than by colour  »
Quantifying the pigment content in avian eggshells is important for the validation of hypotheses on the functionality of eggshell coloration. The few studies that have analysed whether eggshell coloration and spottiness are related to pigment content have found contradictory results. In this study, we analysed whether the coloration and the degree of spottiness of Kentish Plover Charadrius alexandrinus eggshells are related to pigment concentrations (protoporphyrin and biliverdin). We also examined whether the concentrations of these pigments are related to the fractal dimension (FD) of spottiness. The FD of spottiness may be useful as a simple standardized method to quantify complex patterning. We found that protoporphyrin was more abundant than biliverdin in eggshells. Contrary to expectations, the content of protoporphyrin was not related to eggshell colour, probably due to a different allocation of pigments between the spots and the background of the eggshell, and/or to the different allocation of pigments among eggshell layers. However, we found a positive relationship between the FD of eggshell spottiness and the amount of protoporphyrin. It is likely that the FD of spottiness (indicative not only of spot size and the degree of spottiness, but also of how convoluted the outlines of spots are and how spots are distributed across an eggshell) may be related to the mechanical function of protoporphyrin (e.g. in strengthening eggshells, which may interfere with the fractal structure of potential fractures), and/or it may also improve egg camouflage. However, more studies in other avian species are needed to evaluate if the FD of spottiness is a good surrogate for protoporphyrin content in eggshells.

Journal Paper - Journal of Ornithology, first online, 2018 SPRINGER
DOI: 10.1007/s10336-018-1616-2    ISSN: 2193-7192    » doi
J. Gómez, G. Liñán-Cembrano, M. Castro, A. Pérez-Hurtado, C. Ramo and J.A. Amat
Logic minimization and wide fan-in issues in DPL-based cryptocircuits against power analysis attacks  »
This paper discusses the use of logic minimization techniques and wide fan-in primitives and how the design and evaluation of combinational blocks for full-custom dual-precharge-logic-based cryptocircuits affect security, power consumption, and hardware resources. Generalized procedures for obtaining optimized solutions were developed and applied to the gate-level design of substitution boxes, widely used in block ciphers, using sense-amplifier-based logic in a 90-nm technology. The security of several proposals was evaluated with simulation-based correlation power analysis attacks, using the secret key measurements to disclosure metric. The simulation results showed increased security-power-delay figures for our proposals and, surprisingly, indicated that those solutions which minimized area occupation were both the most secure and the most power-efficient.

Journal Paper - International Journal of Circuit Theory and Applications, first online, 2018 JOHN WILEY & SONS
DOI: 10.1002/cta.2587    ISSN: 0098-9886    » doi
E. Tena-Sánchez and A.J. Acosta
Memory Tampering Attack on Binary GCD Based Inversion Algorithms  »
In the field of cryptography engineering, implementation-based attacks are a major concern due to their proven feasibility. Fault injection is one attack vector, nowadays a major research line. In this paper, we present how a memory tampering-based fault attack can be used to severely limit the output space of binary GCD based modular inversion algorithm implementations. We frame the proposed attack in the context of ECDSA showing how this approach allows recovering the private key from only one signature, independent of the key size. We analyze two memory tampering proposals, illustrating how this technique can be adapted to different implementations. Besides its application to ECDSA, it can be extended to other cryptographic schemes and countermeasures where binary GCD based modular inversion algorithms are employed. In addition, we describe how memory tampering-based fault attacks can be used to mount a previously proposed fault attack on scenarios that were initially discarded, showing the importance of including memory tampering attacks in the frameworks for analyzing fault attacks and their countermeasures.

Journal Paper - International Journal of Parallel Programming, first online, 2018 SPRINGER
DOI: 10.1007/s10766-018-0610-x    ISSN: 0885-7458    » doi
A.C. Aldaya, B.B. Brumley, A.J.C. Sarmiento and S. Sánchez-Solano
Real-time temporal frequency detection in FPGA using event-based vision sensor  »
A dynamic vision sensor (DVS) is a new type of vision sensor in which each pixel acts as a motion sensor and generates highly time-accurate events when it detects movement in the scene. The high temporal precision of these types of vision sensors allows the extraction of different low-level temporal features, which is not possible when using a frame-based camera. Hierarchical vision-processing systems use low-level features to recognize a higher level of abstraction. One of the lowlevel features that can be extracted with DVS is the temporal frequency. This feature can be used along with other visual features for more accurate object recognition when the object has rotating parts, such as a quadcopter. This work is an extension of our previous work, wherein we proposed an algorithm to extract this temporal low-level feature by using a DVS. In this work, we proposed a digital circuit with a small footprint to extract the frequency of rotating objects in real time with very low latency. We have synthesized the digital circuit in Spartan-6 field-programmable gate array (FPGA) and also in UMC 180-nm technology to measure the performance, power consumption, and occupied area. MATLAB and Verilog codes for this work are available for academic purposes upon request.

Conference - IEEE International Conference on Intelligent Computer Communication and Processing ICCP 2018
S. Hoseini and B. Linares-Barranco
Digital hardware realization of a novel adaptive ink drop spread operator and its application in modeling and classification and on-chip training  »
In artificial intelligence (AI), proposing an efficient algorithm with an appropriate hardware implementation has always been a challenge because of the well-accepted fact that AI hardware implementations should ideally be comparable to biological systems in terms of hardware area. Active learning method (ALM) is a fuzzy learning algorithm inspired by human brain computations. Unlike traditional algorithms, which employ complicated computations, ALM tries to model human brain computations using qualitative and behavioral descriptions of the problem. The main computational engine in ALM is the ink drop spread (IDS) operator, but this operator imposes high memory requirements and computational costs, making the ALM algorithm and its hardware implementation unsuitable for some of the applications. This paper proposes an adaptive alternative method for implementing the IDS operator; a method which results in a marked reduction in the algorithm´s computational complexity and in the amount of memory required and hardware. To check its validity and performance, the method was used to carry out modeling and pattern classification tasks. This paper used challenging and real-world datasets and compared with well-known algorithms (adaptive neuro-fuzzy inference system and multi-layer perceptron) in software simulation and hardware implementation. Compared to traditional implementations of the ALM algorithm and other learning algorithms, the proposed FPGA implementation offers higher speed, less hardware, and improved performance, thus facilitating real-time application. Our ultimate goal in this paper was to present a hardware implementation with an on-chip training that allows it to adapt to its environment without dependency on the host system (on-chip learning).

Journal Paper - International Journal of Machine Learning and Cybernetics, first online, 2018 SPRINGER
DOI: 10.1007/s13042-018-0890-x    ISSN: 1868-8071    » doi
S. Haghzad Klidbary, S. Bagheri Shouraki and B. Linares-Barranco

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