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  • Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant 

    Ghosh, Tamal; Martinsen, Kristian (Journal article; Peer reviewed, 2019)
    Beetle Antennae Search (BAS) is a newly developed nature-inspired algorithm, which falls in the class of single-solution driven metaheuristic techniques. This algorithm mimics the searching behavior of the longhorn beetles ...
  • Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance 

    Bhattacharjee, Debraj; Ghosh, Tamal; Bhola, Prabha; Martinsen, Kristian; Dan, Pranab (Journal article; Peer reviewed, 2019)
    This article presents an optimized series-parallel hybrid powertrain transformed from a conventional vehicle using an analytical approach without changing the original chassis. The proposed approach is based on a many-objective ...
  • Characterization of Off-Body Area Network Channels During Walking 

    Mohamed, Marshed Kassim; Joseph, Wout; Varmeeren, Günter; Tanghe, Emmeric; Cheffena, Michael (Journal article; Peer reviewed, 2019)
    In this work, the off-body area network channel characteristics during walking were investigated using finite difference time-domain. The channels were investigated in terms of fade variation and the correlation between ...
  • Event-driven industrial robot control architecture for the Adept V+ platform 

    Semeniuta, Oleksandr; Falkman, Petter (Journal article; Peer reviewed, 2019)
    Modern industrial robotic systems are highly interconnected. They operate in a distributed environment and communicate with sensors, computer vision systems, mechatronic devices, and computational components. On the ...
  • Industry 4.0 Closed Loop Tolerance Engineering Maturity Evaluation 

    Martinsen, Kristian (Chapter, 2019)
    Closed Loop Tolerance Engineering (CLTE) is introduced as a model of information flow – feed forward and feedback- between functional requirements, tolerance selection, process capabilities and product performance. “Industry ...
  • Evolutionary algorithms in additive manufacturing systems: Discussion of future prospects 

    Leirmo, Torbjørn; Martinsen, Kristian (Journal article; Peer reviewed, 2019)
    Additive Manufacturing (AM) as a manufacturing process is increasingly implemented in manufacturing and is thus subjected to the high demands of industry. With the industrialization of AM technologies follows demands ...
  • Secrecy Performance of Correlated α-μ Fading Channels 

    Mathur, Aashish; Ai, Yun; Cheffena, Michael; Kaddoum, Georges (Journal article; Peer reviewed, 2019)
    This paper investigates the secrecy performance of the classical Wyner’s wiretap model, where the main channel and eavesdropper channel experience correlated α-μ fading. Novel and exact expressions for the average secrecy ...
  • EPypes: a framework for building event-driven data processing pipelines 

    Semeniuta, Oleksandr; Falkman, Petter (Journal article; Peer reviewed, 2019)
    Many data processing systems are naturally modeled as pipelines, where data flows though a network of computational procedures. This representation is particularly suitable for computer vision algorithms, which in most ...
  • A Review of the Role of Critical Parameters in the Design and Operation of Biogas Production Plants 

    Sarker, Shiplu; Lamb, Jacob Joseph; Hjelme, Dag Roar; Lien, Kristian Myklebust (Journal article; Peer reviewed, 2019)
    Many operating parameters, individually or together, may influence the performance of anaerobic digestion towards biogas or digestate yield and quality maximization. The most preferred method of optimizing an anaerobic ...
  • Received Signal Strength Based Gait Authentication 

    Mohamed, Marshed Kassim; Cheffena, Michael (Journal article; Peer reviewed, 2018)
    Expansion of wireless body area networks applications, such as health-care, m-banking, and others has lead to vulnerability of privacy and personal data. An effective and unobtrusive natural method of authentication is ...
  • The Application of Lognormal Mixture Shadowing Model for B2B Channels 

    Cheffena, Michael; Mohamed, Marshed Kassim (Journal article; Peer reviewed, 2018)
    In this article, a Lognormal mixture shadowing model based on a cluster concept is utilized in the modeling of body-to-body (B2B) channels for different running and cycling activities. The mixture model addresses the ...
  • Characterization of dynamic wireless body area network channels during walking 

    Mohamed, Marshed Kassim; Joseph, Wout; Vermeeren, Günter; Tanghe, Emmeric; Cheffena, Michael (Journal article; Peer reviewed, 2019)
    In this work, finite-difference time-domain was used for the investigation of dynamic wireless body area network channel characteristics during walking, thus accounting for dynamic aspects and body postures. This involves ...
  • Secrecy outage analysis of double shadowed Rician channels 

    Ai, Yun; Kong, Long; Cheffena, Michael (Journal article; Peer reviewed, 2019)
    The double shadowed Rician model was recently proposed to describe some realistic physical signal propagation phenomena, where a Rician faded signal is impacted by cascaded shadowing processes. In this letter, we study the ...
  • Legibility in Print Text for People with Impaired Vision 

    Nersveen, Jonny; Kvitle, Anne Kristin; Johansen, Eivind Arnstein (Journal article; Peer reviewed, 2018)
    Research on the level of legibility and readability of text are mainly based on subjects with normal eyesight. In Norway, about 180.000 of the population is diagnosed with a visual impairment. In our study, over 800 visually ...
  • Methodology for Power-Aware Coherent Receiver Design 

    Ahmad, Tauseef; Ai, Yun; Muralidharan, Pavithra; Irukulapati, Naga Vishnukanth; Johannisson, Pontus; Wymeersch, Henk; Agrell, Erik; Larsson-Edefors, Per; Karlsson, Magnus (Research report, 2013)
  • Exploiting Dispersive Power Gain and Delay Spread for Sybil Detection in Industrial WSNs: A Multi-Kernel Approach 

    Li, Qihao; Cheffena, Michael (Journal article; Peer reviewed, 2019)
    Industrial wireless sensor networks (IWSNs) promote innovations in the industry such as structural status mapping, instrument fault diagnosing, and oriented automation system associating. However, due to the shared nature ...
  • LTE Uplink Transmission Scheme 

    Surgiewicz, Rafal; Strom, Niklas; Ahmed, Anser; Ai, Yun (Research report, 2014)
    The Long Term Evolution (LTE) standard requires an uplink transmission rate of up to 86 Mbps. In order to support such a high data rate and avoid the high Peak-to-Average Power Ratio (PAPR) disadvantage in Orthogonal-FDMA, ...
  • A Dynamic Channel Model for Indoor Wireless Signals: Working Around Interference Caused by Moving Human Bodies 

    Mohamed, Marshed Kassim; Cheffena, Michael; Fontán, Fernando Pérez; Moldsvor, Arild (Journal article; Peer reviewed, 2018)
    The use of indoor wireless devices has substantially increased in recent years. This escalation is due to the expansion of traditional communication devices, such as mobile phones and laptop computers, to less traditional ...
  • Secrecy Performance Analysis of Wireless Sensor Networks 

    Ai, Yun; Cheffena, Michael; Ohtsuki, Tomoaki; Zhuang, He (Journal article; Peer reviewed, 2019)
    Wireless sensor network (WSN) plays a fundamentally important role in the realization of Internet of Things and Industry 4.0. In this letter, we study the physical layer security performance of a large-scale ad hoc and ...
  • Physical Layer Security of Hybrid Satellite-FSO Cooperative Systems 

    Ai, Yun; Mathur, Aashish; Cheffena, Michael; Bhatnagar, Manav R.; Lei, Hongjiang (Journal article; Peer reviewed, 2019)
    In this paper, we study the physical layer secrecy performance of a hybrid satellite and free-space optical (FSO) cooperative system. The satellite links are assumed to follow the Shadowed-Rician fading distribution; and ...

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