Digital Implementation of SISC Fuzzy Controllers

A classification of inference systems based on approximate reasoning techniques is proposed. An alternative realization method is described for the particular SISC case, which enables reducing the silicon area and increasing the operation speed, making it especially appropriate for real time control applications

Evaluation of the police operational tactical procedures for reducing officer injuries resulting from physical interventions in problematic arrests. The case of the Municipal Police of Cádiz (Spain)

Objectives: This paper describes some operational tactical procedures (OTP) and discusses the results of a 14-year-long study, spanning the period 2003-2016, conducted by the Municipal Police of Cadiz, Spain, which comprised 3 time periods: 2003-2006, when the officers were trained in traditional policing procedures; 2007-2013, when the officers were taught an innovative set of OTP in the form of a basic set of self-defense and arrest mechanisms, different from the traditional policing procedures that rely on martial arts and combat sports; and finally 2014-2016, when the OTP training was discontinued. The aim of this study was to improve policing and reduce officer injuries resulting from interventions in controversial or violent situations, such as problematic arrests. Material and Methods: The study involved 162 police officers and commanders of the Municipal Police of Cadiz, who were in street duty for their first time. There were 8 females and 154 males aged 24-55 years. Three OTP stages are shown as examples. Results: Based on the analysis of "training hours" and "physical interventions in problematic arrests," the results were: 1) the number of sick leaves in the police was identical according to the number of arrests, and 2) data on sick leaves show remarkable differences among the 3 periods under analysis. Conclusions: The OTP-based training substantially reduced officer sick leaves. The overall reduction in sick leaves in the period 2007-2013 was observed that cannot be ascribed to a decrease in criminal acts, and hence in police physical interventions

Hardware/software codesign methodology for fuzzy controller implementation

This paper describes a HW/SW codesign methodology for the implementation of fuzzy controllers on a platform composed by a general-purpose microcontroller and specific processing elements implemented on FPGAs or ASICs. The different phases of the methodology, as well as the CAD tools used in each design stage, are presented, with emphasis on the fuzzy system development environment Xfuzzy. Also included is a practical application of the described methodology for the development of a fuzzy controller for a dosage system

Aprendizaje de flujos de diseño comerciales durante práticas en empresa

En esta comunicación se detalla el aprendizaje de distintas herramientas comerciales de diseño de circuitos digitales en el marco de la realización de prácticas en empresa. Este aprendizaje se centra en el empleo de herramientas de verificación y síntesis HDL así como el uso de herramientas de place & route de tecnologías FPGA. El objetivo de esta práctica comprende no sólo el aprendizaje del flujo de diseño, sino también la comparación de los resultados obtenidos por las distintas herramientas

Low Power Implementation of Trivium Stream Cipher

This paper describes a low power hardware implementation of the Trivium stream cipher based on shift register parallelization techniques. The de-sign was simulated with Modelsim, and synthesized with Synopsys in three CMOS technologies with different gate lengths: 180nm, 130nm and 90 nm. The aim of this paper is to evaluate the suitability of this technique and compare the power consumption and the core area of the low power and standard implemen-tations. The results show that the application of the technique reduces power consumption by more than 20% with only a slight penalty in area and operating frequency.Junta de Andalucía P08-TIC-03674info:eu-repo/grantAgreement/EC/FP5/01867Ministerio de Ciencia e Innovación TEC2010-16870/MI

Fault Injection on FPGA implementations of Trivium Stream Cipher using Clock Attacks

Ministerio de Economía y Competitividad TEC2010-16870Ministerio de Economía y Competitividad TEC2013-45523-RMinisterio de Economía y Competitividad CSIC 201550E03

Fault Attack on FPGA implementations of Trivium Stream Cipher

This article presents the development of an experimental system to introduce faults in Trivium stream ciphers implemented on FPGA. The developed system has made possible to analyze the vulnerability of these implementations against fault attacks. The developed system consists of a mechanism that injects small pulses in the clock signal, and elements that analyze if a fault has been introduced, the number of faults introduced and its position in the inner state. The results obtained demonstrate the vulnerability of these implementations against fault attacks. As far as we know, this is the first time that experimental results of fault attack over Trivium are presented.Ministerio de Economía y Competitividad TEC2010-16870Ministerio de Economía y Competitividad TEC2013-45523- RMinisterio de Economía y Competitividad CSIC 201550E039

Montaje de un amplificador de audio en las prácticas de electrónica analógica

En esta comunicación se presenta el rediseño de las prácticas de laboratorio de la asignatura Electrónica Analógica con el objetivo de que el alumno monte un sistema de mediana complejidad. Estas prácticas son obligatorias y se realizan en sesiones de dos horas, por lo que el sistema ha de cumplir con las características de que sea modular y cubra gran parte de los contenidos de la asignatura. La asignatura Electrónica Analógica se imparte en el segundo curso de la titulación de Ingeniería Técnica Industrial, especialidad de Electrónica Industrial.Ministerio de Educación y Ciencia TEC2007-65105/MICJunta de Andalucía TIC-360

Spark solutions for discovering fuzzy association rules in Big Data

The research reported in this paper was partially supported the COPKIT project from the 8th Programme Framework (H2020) research and innovation programme (grant agreement No 786687) and from the BIGDATAMED projects with references B-TIC-145-UGR18 and P18-RT-2947.The high computational impact when mining fuzzy association rules grows significantly when managing very large data sets, triggering in many cases a memory overflow error and leading to the experiment failure without its conclusion. It is in these cases when the application of Big Data techniques can help to achieve the experiment completion. Therefore, in this paper several Spark algorithms are proposed to handle with massive fuzzy data and discover interesting association rules. For that, we based on a decomposition of interestingness measures in terms of α-cuts, and we experimentally demonstrate that it is sufficient to consider only 10equidistributed α-cuts in order to mine all significant fuzzy association rules. Additionally, all the proposals are compared and analysed in terms of efficiency and speed up, in several datasets, including a real dataset comprised of sensor measurements from an office building.COPKIT project from the 8th Programme Framework (H2020) research and innovation programme 786687BIGDATAMED projects B-TIC-145-UGR18 P18-RT-294

New Spark solutions for distributed frequent itemset and association rule mining algorithms

Funding for open access publishing: Universidad de Gran- ada/CBUA. The research reported in this paper was partially sup- ported by the BIGDATAMED project, which has received funding from the Andalusian Government (Junta de Andalucı ́a) under grant agreement No P18-RT-1765, by Grants PID2021-123960OB-I00 and Grant TED2021-129402B-C21 funded by Ministerio de Ciencia e Innovacio ́n and, by ERDF A way of making Europe and by the European Union NextGenerationEU. In addition, this work has been partially supported by the Ministry of Universities through the EU- funded Margarita Salas programme NextGenerationEU. Funding for open access charge: Universidad de Granada/CBUAThe large amount of data generated every day makes necessary the re-implementation of new methods capable of handle with massive data efficiently. This is the case of Association Rules, an unsupervised data mining tool capable of extracting information in the form of IF-THEN patterns. Although several methods have been proposed for the extraction of frequent itemsets (previous phase before mining association rules) in very large databases, the high computational cost and lack of memory remains a major problem to be solved when processing large data. Therefore, the aim of this paper is three fold: (1) to review existent algorithms for frequent itemset and association rule mining, (2)to develop new efficient frequent itemset Big Data algorithms using distributive computation, as well as a new association rule mining algorithm in Spark, and (3) to compare the proposed algorithms with the existent proposals varying the number of transactions and the number of items. To this purpose, we have used the Spark platform which has been demonstrated to outperform existing distributive algorithmic implementations.Universidad de Granada/CBUAJunta de Andalucia P18-RT-1765Ministry of Science and Innovation, Spain (MICINN) Instituto de Salud Carlos III Spanish Government PID2021-123960OB-I00, TED2021-129402B-C21ERDF A way of making EuropeEuropean Union NextGenerationEUMinistry of Universities through the E