Blar i TKD - Institutt for maskin, elektronikk og kjemi på tidsskrift "IEEE Access"

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    • Design and Testing of a Composite Pressure Hull for Deep Autonomous Underwater Vehicles. 

      Elkolali, Moustafa; Alcocer, Alex (IEEE Access;Volume: 10, Peer reviewed; Journal article, 2022-08-16)
      This paper outlines the design and testing process of the hull of a deep small Autonomous Underwater Vehicle (AUV), rated at 2000m depth. Many existing AUV pressure housings use aluminum or other isotropic traditional ...

    • Design and Testing of a Miniature Variable Buoyancy System for Underwater Vehicles 

      Elkolali, Moustafa; Al-Tawil, Ahmed; Alcocer, Alex (IEEE Access;Volume 10, 2022, Peer reviewed; Journal article, 2022-04-18)
      Buoyancy-driven underwater vehicles are key tools for obtaining data from the ocean. Underwater gliders and profiling floats, equipped with sensors, provide crucial information on ocean processes and climate changes. The ...

    • Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification 

      Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (IEEE Access;Volume 8, Journal article; Peer reviewed, 2020-08-27)
      In this article, we presented a novel spectral estimation method, the dyadic aggregated autoregressive model (DASAR), that characterizes the spectrum dynamics of a modulated signal. DASAR enhances automatic modulation ...

    • Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS approach 

      Yousaf Sattar, Neelum; Kausar, Zareena; Usama, Syed Ali; Naseer, Noman; Farooq, Umer; Abdullah, Ahmed; Hussain, Syed Zahid; Shahbaz Khan, Umar; Khan, Haroon; Mirtaheri, Peyman (IEEE Access;Volume: 9, Peer reviewed; Journal article, 2021-07-26)
      Limited non-invasive transhumeral prosthesis control exists due to the absence of signal sources on amputee residual muscles. This paper introduces a hybrid brain-machine interface (hBMI) that integrates surface electromyography ...

    • Patient-centered design method for self-powered and cost-optimized health monitors 

      Muhtaroglu, Ali; Sharone, Molly (Peer reviewed; Journal article, 2023)
      The emergence of Wireless Body Area Networks (WBANs) with health monitoring capabilities has revolutionized health care. Implementing fully independent WBAN nodes is important to the long-term viability of this initiative. ...

    • Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults 

      Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (IEEE Access;Volume 7, Journal article; Peer reviewed, 2019-08-08)
      We present a comprehensive study of state-of-the-art algorithms for the prediction of sensor events and activities of daily living in smart homes. Data have been collected from eight smart homes with real users and 13-17 ...

    • A Self-Powered and Area Efficient SSHI Rectifier for Piezoelectric Harvesters 

      Chamanian, Salar; Ciftci, Berkay; Muhtaroglu, Ali; Külah, Haluk (IEEE Access;, Peer reviewed; Journal article, 2021)
      This article presents an area efficient fully autonomous piezoelectric energy harvesting system to scavenge energy from periodic vibrations. Extraction rectifier utilized in the system is based on synchronized switch ...

    • Use of Clustering Algorithms for Sensor Placement and Activity Recognition in Smart Homes 

      Simonsson, Simon Frederick; Casagrande, Flavia Dias; Zouganeli, Evi (IEEE Access;Volume: 11, Peer reviewed; Journal article, 2023-01-23)
      This work presents a novel method for motion sensor placement within smart homes. Using recordings from 3D depth cameras within six real homes, clusters are created with the resident’s tracked location. The resulting ...