Recent Submissions

  • WFAsic: A high-performance ASIC accelerator for DNA sequence alignment on a RISC-V SoC 

    Haghi, Abbas; Álvarez Martí, Lluc; Fornt Mas, Jordi; Haro Ruiz, Juan Miguel de; Figueras Bagué, Roger; Doblas Font, Max; Marco Sola, Santiago; Moreto Planas, Miquel (Association for Computing Machinery (ACM), 2023)
    Conference report
    Open Access
    The ever-increasing yields in genome sequence data production pose a computational challenge to current genome sequence analysis tools, jeopardizing the future of personalized medicine. Leveraging hardware accelerators ...
  • Novel circuit design methodology with graphene nanoribbon based devices 

    Rallis, Konstantinos; Dimitrakopoulos, Giorgos; Dimitrakis, Panagiotis; Rubio Sola, Jose Antonio; Cotofana, Sorin; Karafyllidis, Ioannis; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Graphene has attracted a high amount of interest in recent years in many research fields, including the field of electronics. Due to its spectacular properties, it is investigated as a candidate material for the realization ...
  • Study and design of an RF energy harvesting system for WSN networks 

    Rachid, Adil; López Martínez, Antonio Miguel; Moreno García, Sebastián (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Restricted access - publisher's policy
    The objective of RF (radio frequency) energy harvesting in wireless sensor networks (WSN) is to reduce the reliance on batteries and extend the lifespan of sensor nodes. This technique involves capturing and storing energy ...
  • Energy efficient object detection for automotive applications with YOLOv3 and approximate hardware 

    Fornt Mas, Jordi; Fontova Muste, Pau; Caro Roca, Martí; Abella Ferrer, Jaume; Moll Echeto, Francisco de Borja; Altet Sanahujes, Josep; Rubio Sola, Jose Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Deep neural networks are the dominant models for perception tasks in the automotive domain, but their high computational complexity makes it difficult to execute them in real time with an acceptable power consumption on ...
  • Efficient in situ assessment of radiated emissions using time-domain measurements 

    Solé Lloveras, Jordi; Azpúrua Auyanet, Marco Aurelio; Aragon Homar, Marc; Yoshioka, Yasutoshi; Silva Martínez, Fernando (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    This paper presents three different case studies where the electromagnetic emissions of atypical equipment (a photovoltaic system, a passenger boarding bridge and a pallet washing machine) have been assessed in situ using ...
  • Measuring receiver benchmark for conducted and radiated emissions testing in space applications 

    Azpúrua Auyanet, Marco Aurelio; Pous Solà, Marc; Solé Lloveras, Jordi; Zhao, Dongsheng; Silva Martínez, Fernando (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    This paper compares the measurement results obtained from three different implementations of measuring receivers regarding spectral level accuracy. The objective is to validate the suitability of direct sampling electromagnetic ...
  • Hardware design of memristor-based oscillators for emulation of neurological diseases 

    Chatzipaschalis, Ioannis; Tsipas, Evangelos; Tsakalos, Karolos-Alexandros; Rubio Sola, Jose Antonio; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
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    One of the most prominent examples of a complex system in nature is the nervous system, which exhibits oscillation phenomena across its structures, from single neurons to sophisticated neural networks. Memristors have been ...
  • Case study of a differential single-pole double-throw RF switch using memristors 

    Tsipas, Evangelos; Stavroulakis, Emmanouil; Chatzipaschalis, Ioannis; Rallis, Konstantinos; Vasileiadis, Nikolaos; Dimitrakis, Panagiotis; Kostopoulos, Athanasios; Konstantinidis, George; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Restricted access - publisher's policy
    Nanotechnology-enabled novel RF switches have emerged as a promising alternative to MEMS, owing to current technological limitations of the latter. Additionally, recent research endeavors in the telecommunications sector ...
  • A TCAD model for silicon nitride based memristive devices 

    Stavroulakis, Emmanouil; Vasileiadis, Nikolaos; Mavropoulis, Alexandros; Chatzipaschalis, Ioannis; Tsipas, Evangelos; Rallis, Konstantinos; Vourkas, Ioannis; Dimitrakis, Panagiotis; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Restricted access - publisher's policy
    Si 3 N 4 -based ReRAM devices showcase intriguing performance characteristics of low switching threshold, high endurance and retention that lay the foundations for the development of the next-generation low-power artificial ...
  • IoT system for non-invasive measurement of physiological parameters in animals 

    Mainar Álvarez, Sergio; Casas Piedrafita, Óscar; Serrano Finetti, Roberto Ernesto (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Restricted access - publisher's policy
    Cardiorespiratory signal measurements in humans are widespread and are used in both hospital and portable devices. However, the application of the monitoring of these parameters in animals is not so extended and, in many ...
  • Modeling of memristor-based RF switches 

    Tsipas, Evangelos; Stavroulakis, Emmanouil; Chatzipaschalis, Ioannis; Rallis, Konstantinos; Vasileiadis, Nikolaos; Dimitrakis, Panagiotis; Kostopoulos, Athanasios; Konstantinidis, George; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference lecture
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    The enticing properties of memristors have been exploited for the design of novel circuits with great prospects, owing to the visible challenges posed by CMOS technology. Similarly, research efforts in the field of RF ...
  • Parkinson's treatment emulation using asynchronous cellular neural networks 

    Chatzipaschalis, Ioannis; Tsakalos, Karolos-Alexandros; Sirakoulis, Georgios Ch.; Rubio Sola, Jose Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Restricted access - publisher's policy
    The human brain can be considered as one of the most complex systems found in nature and its underlying physical and biological mechanisms have attracted an increasing research interest especially in reference to modeling ...

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