Recent Submissions

  • Blockchain-empowered digital twins collaboration: smart transportation use case. 

    Sahal, Radhya; Alsamhi, Saeed H.; Brown, Kenneth N.; O'Shea, Donna; McCarthy, Connor; Guizani, Mohsen (2021-09-09)
    Digital twins (DTs) is a promising technology in the revolution of the industry and essential for Industry 4.0. DTs play a vital role in improving distributed manufacturing, providing up-to-date operational data representation ...
  • Industry 4.0 smart reconfigurable manufacturing machines 

    Morgan, Jeff; Halton, Mark; Qiao, Yuangsong (Elsevier, 2021-04-07)
    This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized machine control and machine intelligence. The ...
  • The role of physiological responses in a VR-based sound localisation task 

    Moraes, Adrielle N.; Flynn, Ronan; Hines, Andrew; Murray, Niall (IEEE, 2017)
    Virtual reality (VR) has recently emerged as a platform that can be employed in the context of e-health applications. Even though the majority of VR-based applications focus on visual stimuli as the main content, audio ...
  • A reliable and energy efficient dual prediction data reduction approach to WSNs based on Kalman filter 

    Wang, Haibin; Yemeni, Zaid; Ismael, Waleed M.; Hawbani, Ammar; Alsamhi, Saeed H. (Wiley, 2021-07-29)
    Wireless sensor networks (WSNs) are critically resource-constrained due to wireless sensor nodes' tiny memory, low processing units, power limitations, and narrow communication bandwidth. The data reduction technique is ...
  • A low-cost platform for environmental smart farming monitoring system based on IoT and UAVs 

    Almalki, Faris A.; Soufiene, Ben Othman; Alsamhi, Saeed H.; Sakli, Hedi (MDPI, 2021-05-24)
    When integrating the Internet of Things (IoT) with Unmanned Aerial Vehicles (UAVs) occurred, tens of applications including smart agriculture have emerged to offer innovative solutions to modernize the farming sector. This ...
  • Digital twin: origin to future 

    Singh, Maulshree; Fuenmayor, Evert; Hinchy, Eoin P.; Qiao, Yuansong; Murray, Niall (MDPI, 2021-05-24)
    Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin) both of which are interconnected via exchange of data in real time. Conceptually, a DT mimics the state of its physical twin ...
  • Block-chain empowered multi-robot collaboration to fight COVID-19 and future pandemics 

    Alsamhi, Saeed H.; Lee, Brian (IEEE, 2021-03-25)
    This conceptual paper overviews how blockchain technology is involving the operation of multi-robot collaboration for combating COVID-19 and future pandemics. Robots are a promising technology for providing many tasks ...
  • Analysis of iterative process for Nauru voting system 

    Gohar, Neelam; Niaz, Sidra; Ashg, Mamoona Naveed; Noor, Salma (Tech Science Press, 2021)
    Game theory is a popular area of artificial intelligence in which the voter acknowledges his own desires and favors the person he wants to be his representative. In multi-agent systems, social choice functions help ...
  • Digital twins collaboration for automatic erratic operational data detection in industry 4.0 

    Sahal, Radhya; Alsamhi, Saeed H.; Breslin, John G.; Brown, Kenneth N.; Ali, Muhammad Intizar (MDPI, 2021-04-02)
    Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and ...
  • Green internet of things using UAVs in B5G networks: a review of applications and strategies 

    Alsamhi, Saeed H.; Afghah, Fatemeh; Sahal, Radhya; Hawbani, Ammar; Al-qaness, Mohammad A. A.; Lee, Brian; Guizani, Mohsen (Elsevier, 2021-04-03)
    Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a ...
  • Industry 4.0 towards Forestsry 4.0: fire dection use case 

    Sahal, Radhya; Alsamhi, Saeed H.; Breslin, John G.; Ali, Muhammad Intizar (MDPI, 2021-01-20)
    Forestry 4.0 is inspired by the Industry 4.0 concept, which plays a vital role in the next industrial generation revolution. It is ushering in a new era for efficient and sustainable forest management. Environmental ...
  • Towards estimation of emotions from eye pupillometry with low-cost devices 

    Rafique, Sidra; Kanwal, Nadia; Karamat, Irfan; Asghar, Mamoona Naveed; Fleury, Martin (IEEE, 2021-01-11)
    Emotional care is important for some patients and their caregivers. Within a clinical or home care situation, technology can be employed to remotely monitor the emotional response of such people. This paper considers ...
  • Four quadrant analog multiplier based memristor emulator using single active element 

    Sharma, Vipin Kumar; Parveen, P.; Ansari, Mohammad Samar (Elsevier, 2020-02)
    This paper presents a novel Four Quadrant Analog Multiplier (FQAM) circuit and its applications using a single active element Current Differencing Transconductance Amplifier (CDTA) and two NMOS. This circuit has a cascadability ...
  • Low-cost gaze detection with real-time ocular movements using coordinate-convolutional neural networks 

    Jain, Shubham; Fallon, Enda (United Kingdom Simulation Society, 2019-10)
    Detection of ocular-movements unfolds various possibilities in computer vision but requires large datasets, expensive hardware and computational power. Prior research substantiates the belief that Convolutional Neural ...
  • Antioxidant, antibacterial and antitumoral activities of kraft lignin from hardwood factionated by acid precipitation 

    Lourençon, Tainise V.; de Lima, Gabriel Goetten; Ribeiro, Carolina S.; Hansel, Fabricio A.; Maciel, Giselle M.; da Silva, Krisle; Winnischofer, Sheila M.B.; de Muniz, Graciela I.B.; Magalhães, Washington L.E. (Elsevier, 2020-11-10)
    Kraft lignin, so far useful for energy generation, has been gathering considerable attention as an alternative material to replace fossil-based resources mainly due to its high phenolic content. However, the wide molecular ...
  • A review of unstructured data analysis and parsing methods 

    Jain, Shubham; de Buitléir, Amy; Fallon, Enda (IEEE, 2020-03)
    Computer applications generate an enormous amount of data every day through their logs, system-generated files or other reports. This generated data depicts the state of the running system and contains abundant information ...
  • Convergence of machine learning and robotics communication in collaborative assembly: mobility, connectivity and future perpectives. 

    Alsamhi, S.H.; Ma, Ou; Ansari, Mohammad Samar (Springer, 2019-10-16)
    Collaborative assemblies of robots are promising the next generation of robot applications by ensuring that safe and reliable robots work collectively toward a common goal. To maintain this collaboration and harmony, ...
  • MuLViS: multi-level encryption based security system for surveillance videos 

    Shifa, Amna; Asghar, Mamoona Naveed; Fleury, Martin; Kanwal, Nadia; Ansari, Mohammad Samar; Lee, Brian; Herbst, Marco; Qiao, Yuansong (IEEE, 2020-09-18)
    Video Surveillance (VS) systems are commonly deployed for real-time abnormal event detection and autonomous video analytics. Video captured by surveillance cameras in real-time often contains identifiable personal information, ...
  • SLEPX: an efficient lightweight cipher for visual protection of scalable HEVC extension 

    Shah, Rizwan Ali; Asghar, Mamoona Naveed; Abdullah, Saima; Kanwal, Nadia; Fleury, Martin (IEEE, 2020-10-12)
    This paper proposes a lightweight cipher scheme aimed at the scalable extension of the High Efficiency Video Coding (HEVC) codec, referred to as the Scalable HEVC (SHVC) standard. This stream cipher, S ymmetric Cipher for ...
  • Preserving chain-of-evidence in surveillance videos for authentication and trust-enabled sharing 

    Kanwal, Nadia; Asghar, Mamoona Naveed; Ansari, Mhammad Samar; Fleury, Martin; Lee, Brian; Herbst, Marco; Qiao, Yuansong (IEEE, 2020)
    Surveillance video recording is a powerful method of deterring unlawful activities. A robust data protection-by-design solution can be helpful in terms of making a captured video immutable, as such recordings cannot become ...

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