Browsing Research Units by Author "Amira, Abbes"

Now showing items 1-8 of 8

    • A Reconfigurable Multipurpose SoC Mobile Platform for metal detection 

      Al Rshid Abazeed, Omran; Mhaisen, Naram; Al-Hariri, Youssef; Nawaz, Naveed; Amira, Abbes ( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)
      Background and Objectives One of the key problems in mobile robotics is the ability to understand and analyze the surrounding environment in a useful way. This is especially important in dangerous applications where human ...

    • Compressive sensing based electronic nose platform 

      Djelouat, Hamza; Ait Si Ali, Amine; Amira, Abbes; Bensaali, Faycal ( Elsevier , 2017 , Article)
      Electronic nose (EN) systems play a significant role for gas monitoring and identification in gas plants. Using an EN system which consists of an array of sensors provides a high performance. Nevertheless, this performance ...

    • Design and implementation of a modular ECMO simulator 

      Aldisi, Mohammed; Alsalemi, Abdullah; Alhomsi, Yahya; Ahmed, Ibrahim; Bensaali, Fayçal; ... more authors ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Article)
      Background: Extracorporeal membrane oxygenation (ECMO) is a high-complexity life-saving procedure riddled with mechanical complications that can place the patient in a critical state where fast and coordinated actions are ...

    • ECG encryption and identification based security solution on the Zynq SoC for connected health systems 

      Zhai, Xiaojun; Ait Si Ali, Amine; Amira, Abbes; Bensaali, Faycal ( Academic Press Inc. , 2017 , Article)
      Connected health is a technology that associates medical devices, security devices and communication technologies. It enables patients to be monitored and treated remotely from their home. Patients' data and medical records ...

    • Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device 

      Gibson, Ryan M.; Amira, Abbes; Ramzan, Naeem; Casaseca-de-la-Higuera, Pablo; Pervez, Zeeshan ( Elsevier Ltd , 2017 , Article)
      There is a significant high fall risk population, where individuals are susceptible to frequent falls and obtaining significant injury, where quick medical response and fall information are critical to providing efficient ...

    • MLP Neural Network Based Gas Classification System on Zynq SoC 

      Zhai, Xiaojun; Ali, Amine Ait Si; Amira, Abbes; Bensaali, Faycal ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      Systems based on wireless gas sensor networks offer a powerful tool to observe and analyze data in complex environments over long monitoring periods. Since the reliability of sensors is very important in those systems, gas ...

    • Smart energy usage and visualization based on micro-moments 

      Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes; Fetais, Noora; Sardianos, Christos; ... more authors ( Springer Verlag , 2020 , Conference Paper)
      Due to global energy demands and overwhelming environmental dilemmas, exorbitant domestic energy usage is a colossal barrier towards energy efficiency. Tremendous research efforts have been poured into a plethora of methods ...

    • Using thermochromic ink for medical simulations 

      Alsalemi, Abdullah; Aldisi, Mohammed; Alhomsi, Yahya; Ahmed, Ibrahim; Bensaali, Faycal; ... more authors ( Hamad bin Khalifa University Press (HBKU Press) , 2017 , Article)
      Background: In medical simulation and training, blood is used to exhibit its different behaviors in context. In some cases, blood color differential is an imperative visual effect to ensure high-fidelity training and ...