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Brox M.,University of Cordoba, Spain | Sanchez-Solano S.,CSIC - National Center of Microelectronics | Del Toro E.,Microelectronics Research Center Israel | Brox P.,CSIC - National Center of Microelectronics | Moreno-Velo F.J.,University of Huelva
IEEE Transactions on Industrial Informatics | Year: 2013

This paper describes two computer-aided design (CAD) tools for automatic synthesis of fuzzy logic-based inference systems. The tools share a common architecture for efficient hardware implementation of fuzzy modules, but are based on two different design strategies. One of them is focused on the generation of standard VHDL code, which can be later implemented on a reconfigurable device [field-programmable gate array (FPGA)] or as an application-specific integrated circuit (ASIC). The other one uses the Matlab/Simulink environment and tools for development of digital signal processing (DSP) systems on Xilinx's FPGAs. Both tools are included in the last version of Xfuzzy, which is a specific environment for designing complex fuzzy systems, and they provide interfaces to commercial VHDL synthesis and verification tools, as well as to conventional FPGA development environments. As demonstrated by the included design example, the proposed development strategies speed up the stages of description, synthesis, and functional verification of embedded fuzzy inference systems. © 2005-2012 IEEE.

Sanchez-Solano S.,Institute Microelectronica Of Seville Imse Cnm Csic | Brox M.,University of Cordoba, Spain | del Toro E.,Microelectronics Research Center Israel | Brox P.,Institute Microelectronica Of Seville Imse Cnm Csic | Baturone I.,Instituto Demicroelectronica Of Seville Imse Cnmcsic
IEEE Transactions on Industrial Informatics | Year: 2013

The complexity reached by current applications of industrial control systems has motivated the development of new computational paradigms, as well as the employment of hybrid implementation techniques that combine hardware and software components to fulfill system requirements. On the other hand, continuous improvements in field-programmable devices today make possible the implementation of complex control systems on reconfigurable hardware, although they are limited by the lack of specific design tools and methodologies to facilitate the development of new products. This paper describes a model-based design approach for the synthesis of embedded fuzzy controllers on field-programmable gate arrays (FPGAs). Its main contributions are the proposal of a novel implementation technique, which allows accelerating the exploration of the design space of fuzzy inference modules, and the use of a design flow that eases their integration into complex control systems and the joint development of hardware and software components. This design flow is supported by specific tools for fuzzy systems development and standard FPGA synthesis and implementation tools, which use the modeling and simulation facilities provided by the Matlab environment. The development of a complex control system for parking an autonomous vehicle demonstrates the capabilities of the proposed procedure to dramatically speed up the stages of description, synthesis, and functional verification of embedded fuzzy controllers for industrial applications. © 2005-2012 IEEE.

Szameit A.,Solid State Institute | Szameit A.,Friedrich - Schiller University of Jena | Shechtman Y.,Solid State Institute | Osherovich E.,Technion - Israel Institute of Technology | And 13 more authors.
Nature Materials | Year: 2012

Coherent Diffractive Imaging (CDI) is an algorithmic imaging technique where intricate features are reconstructed from measurements of the freely diffracting intensity pattern. An important goal of such lensless imaging methods is to study the structure of molecules that cannot be crystallized. Ideally, one would want to perform CDI at the highest achievable spatial resolution and in a single-shot measurement such that it could be applied to imaging of ultrafast events. However, the resolution of current CDI techniques is limited by the diffraction limit, hence they cannot resolve features smaller than one half the wavelength of the illuminating light. Here, we present sparsity-based single-shot subwavelength resolution CDI: algorithmic reconstruction of subwavelength features from far-field intensity patterns, at a resolution several times better than the diffraction limit. This work paves the way for subwavelength CDI at ultrafast rates, and it can considerably improve the CDI resolution with X-ray free-electron lasers and high harmonics. © 2012 Macmillan Publishers Limited. All rights reserved.

Bayn I.,Microelectronics Research Center Israel | Meyler B.,Microelectronics Research Center Israel | Salzman J.,Microelectronics Research Center Israel | Kalish R.,Technion - Israel Institute of Technology
Optics InfoBase Conference Papers | Year: 2011

A single crystal diamond nanobeam with a triangular cross-section and 1D-Bragg reflectors is reported. Modeling shows Q≈2.5×106, Vm=1.06×(λ/n)3. A low-Q cavity version was fabricated by Focused-Ion-Beam, exhibiting a clear mode confinement spectrum. © OSA/CLEO 2011.

Bayn I.,Massachusetts Institute of Technology | Mouradian S.,Massachusetts Institute of Technology | Li L.,Massachusetts Institute of Technology | Goldstein J.A.,Massachusetts Institute of Technology | And 10 more authors.
Applied Physics Letters | Year: 2014

A scalable approach for integrated photonic networks in single-crystal diamond using triangular etching of bulk samples is presented. We describe designs of high quality factor (Q = 2.51 × 106) photonic crystal cavities with low mode volume (Vm = 1.062 × (λ/n)3), which are connected via waveguides supported by suspension structures with predicted transmission loss of only 0.05 dB. We demonstrate the fabrication of these structures using transferred single-crystal silicon hard masks and angular dry etching, yielding photonic crystal cavities in the visible spectrum with measured quality factors in excess of Q = 3 × 103. © 2014 AIP Publishing LLC.

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