Recent Submissions

  • 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 ...
  • Tunable memristor emulator using off-the-shelf components. 

    Sharma, Vipin Kumar; Ansari, Mohammad Samar; Parveen, T. (Elsevier, 2020)
    Emerging memristor technology is as of late drawing broad consideration due to its potential for several applications. But, the non-availability of solid-state memristive devices puts a practical limitation. So, this paper ...
  • Shallow and deep learning approaches for network intrusion alert prediction. 

    Ansari, Mohammad Samar; Bartos, Vaclav; Lee, Brian (Elsevier, 2020)
    The ever-increasing frequency and intensity of intrusion attacks on computer networks worldwide has necessitated intense research efforts towards the design of attack detection and prediction mechanisms. While there are a ...
  • Low-complexity high-performance deep learning model for real time low cost embedded fire detection system. 

    Jadon, Arpit; Varshney, Akshay; Ansari, Mohammad Samar (Elsevier, 2020)
    Correct and timely detection of fires has been an active area of research. Both shallow learning (with manual feature engineering), as well as deep learning (with its promise of automatically extracting meaningful ...
  • Trace model for cyclic behavior in wireless LANS. 

    Bukhsh, S.; Abdullah, S.; Asghar, Mamoona Naveed (Pakistan Association for the Advancement of Science, 2018-09)
    : For the estimation of cycle time in WLANs different parameters were used to analyze the cyclic behavior like packet loss cycle, successful packet cycle and collision cycle. This paper proposes a model to control all ...
  • Single system image: a survey 

    Healy, Philip; Lynn, Theo; Barrett, Enda; Morrison, John P. (Elsevier, 2016-04)
    Single system image is a computing paradigm where a number of distributed computing resources are aggregated and presented via an interface that maintains the illusion of interaction with a single system. This approach ...

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