Blar i ODA Open Digital Archive på tidsskrift "IEEE Access"

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    • Affect Recognition in Muscular Response Signals 

      Boeker, Matthias; Jakobsen, Petter; Riegler, Michael; Stabell, Lena Antonsen; Fasmer, Ole Bernt; Halvorsen, Pål; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2023)
      This study investigated the potential of recognising arousal in motor activity collected by wrist- worn accelerometers. We hypothesise that emotional arousal emerges from the generalised central nervous system which ...

    • An Area-Based Prior Value Method for Detectionof Micro Contamination in Hard Disk Drives 

      Sandnes, Frode Eika; Muneesawang, Paisarn; Ieamsaard, Jirarat (Journal article; Peer reviewed, 2017)
      This paper presents a new area-based prior value technique for the improvement of automatic visual inspection in hard disk drive manufacturing. Micro-contaminations are detected on the air-bearing surface of the head gimbal ...

    • Data-driven model of the power-grid frequency dynamics 

      Rydin Gorjao, Leonardo; Anvari, Mehrnaz; Kantz, Holger; Beck, Christian; Witthaut, Dirk; Timme, Marc; Schäfer, Benjamin (IEEE Access;Volume 8, 2020, Peer reviewed; Journal article, 2020-01-20)
      The energy system is rapidly changing to accommodate the increasing number of renewable generators and the general transition towards a more sustainable future. Simultaneously, business models and market designs evolve, ...

    • 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 ...

    • Edge information based image fusion metrics using fractional order differentiation and sigmoidal functions 

      Sengupta, Animesh; Seal, Ayan; Krejcar, Ondrej; Yazidi, Anis (IEEE Access;Volume: 8, Journal article; Peer reviewed, 2020)
      In recent years, the number of image fusion schemes presented by the research community has increased significantly. Measuring the performance of these schemes is an important issue. In this work, we introduce three ...

    • 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 ...

    • General TCP state inference model from passive measurements using machine learning techniques 

      Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind (IEEE Access;VOLUME 6, 2018, Journal article; Peer reviewed, 2018-05-04)
      Many applications in the Internet use the reliable end-to-end Transmission Control Protocol (TCP) as a transport protocol due to practical considerations. There are many different TCP variants widely in use, and each ...

    • A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids 

      Thapa, Rajan; Lei, Jiao; Oommen, John; Yazidi, Anis (Journal article; Peer reviewed, 2017)
      In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, ...

    • Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Soylu, Ahmet (IEEE Access;Volume 9, 2021, Peer reviewed; Journal article, 2021-02-24)
      This study deals with fault tree analysis algorithms based on an ontology-based approach in a fuzzy environment. We extend fuzzy fault tree analysis by embedding ontology-based fault tree structures. The ontology-based ...

    • 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 High Delays in Mobile Broadband Networks 

      Mohamed Ahmed, Azza Hassan; Hicks, Steven; Riegler, Michael; Elmokashfi, Ahmed Mustafa Abdalla (IEEE Access;Volume 9: 2021, Peer reviewed; Journal article, 2021-12-24)
      The number of applications that run over mobile networks, expecting bounded end-to-end delay, is increasing steadily. However, the stochastic and shared nature of the wireless medium makes providing such guarantees ...

    • 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 ...

    • Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning 

      Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Håvard D.; Johansen, Dag; Rittscher, Jens; Riegler, Michael A.; Halvorsen, Pal (IEEE Access;Volume: 9, Peer reviewed; Journal article, 2021-03-04)
      Computer-aided detection, localization, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of ...

    • Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning 

      Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Håvard D.; Johansen, Dag; Rittscher, Jens; Riegler, Michael; Halvorsen, Pål (IEEE Access;Volume: 9, 2021, Peer reviewed; Journal article, 2021-03-04)
      Computer-aided detection, localization, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of ...

    • 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 ...

    • Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry 

      Yahya, Muhammad; Zhou, Baifan; Breslin, John G.; Ali, Muhammad Intizar; Kharlamov, Evgeny (Peer reviewed; Journal article, 2023)
      The ongoing industrial revolution termed Industry 4.0 (I4.0) has borne witness to a series of profound changes towards increasing smart automation, particularly in the industrial sectors of automotive, aerospace, manufacturing, ...

    • A Survey on Multipath Transport Protocols Towards 5G Access Traffic Steering, Switching and Splitting 

      Wu, Hongjia; Ferlin, Simone; Caso, Giuseppe; Alay Erduran, Özgü; Brunstrom, Anna (IEEE Access;Volume: 9, Peer reviewed; Journal article, 2021-12-10)
      The fifth generation (5G) cellular network aims at providing very high data rates, ultra reliable low latency communications, and a vast increase of connection density. As one of the design trends towards these objectives, ...

    • 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 ...