Now showing items 31-50 of 76

    • 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 ...
    • GRU-based deep learning approach for network intrusion alert prediction 

      Ansari, Mohammad Samar; Bartoš, Václav; Lee, Brian (Elsevier, 2021-11)
      The exponential growth in the number of cyber attacks in the recent past has necessitated active research on network intrusion detection, prediction and mitigation systems. While there are numerous solutions available for ...
    • Host based intrusion detection system with combined CNN/RNN model. 

      Chawla, Ashima; Lee, Brian; Fallon, Sheila; Jacob, Paul (Springer International Publishing, 2018)
      Cyber security has become one of the most challenging as- pects of modern world digital technology and it has become imperative to minimize and possibly avoid the impact of cybercrimes. Host based intrusion detection ...
    • Human gait assessment using a 3D marker-less multimodal motion capture system. 

      Rodrigues, Thiago Braga; Salgado, Debora Pereira; Ó Catháin, Ciarán; O'Connor, Noel; Murray, Niall (Springer, 2019-12-05)
      Gait analysis is the measurement, processing and systematic interpretation of biomechanical parameters that characterize human locomotion. It supports the identification of movement limitations and development of rehabilitation ...
    • 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 ...
    • 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 ...
    • Joint crypto-stego scheme for enhanced image protection with nearest-centroid clustering. 

      Shifa, Amna; Afgan, Muhammad Sher; Asghar, Mamoona Naveed; Fleury, Martin; Memon, Imran; Abdullah, Saima; Rasheed, Nadia (IEEE, 2018-03-12)
      Owing to the exceptional growth of information exchange over open communication channels within the public Internet, confidential transmission of information has become a vital current concern for organizations and ...
    • Lightweight cipher for H.264 videos in the Internet of Multimedia Things with encryption space ratio diagnostics 

      Shifa, Amna; Asghar, Mamoona Naveed; Noor, Salma; Gohar, Neelam (MDPI, 2019-03-11)
      Within an Internet of Multimedia Things, the risk of disclosing streamed video content, such as that arising from video surveillance, is of heightened concern. This leads to the encryption of that content. To reduce the ...
    • Low computational complexity for optimizing energy efficiency in Mm-wave hybrid precoding system for 5G 

      Salh, Adeb; Audah, Lukman; Abdullah, Qazwan; Aydoğdu, Ömer; Alhartomi, Mohammed A.; Alsamhi, Saeed Hamood; Almalki, Faris A.; Shah, Nor Shahida M. (IEEE, 2022-01-13)
      Millimeter-wave (mm-wave) communication is the spectral frontier to meet the anticipated significant volume of high data traffic processing in next-generation systems. The primary challenges in mm-wave can be overcome ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Machine learning for smart environments in B5G networks: connectivity and QoS 

      Alsamhi, Saeed H.; Almalki, Faris, A.; Al-Dois, Hatem; Othman, Soufiene Ben; Hassan, Jahan; Hawbani, Anmar; Sahal, Radyah; Lee, Brian; Saleh, Hager (Hindawi, 2021-09-20)
      The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and uncertainty complicate this landscape dramatically and ...
    • MCP2P: Layer-dependency-aware live MVC video streaming over peer-to-peer networks. 

      Liu, Zhao; Murray, Niall; Lee, Brian; Fallon, Enda; Qiao, Yuansong (Elsevier, 2018-07)
      Multiview video supports observing a scene from different viewpoints. The Joint Video Team (JVT) developed H.264/MVC to enhance the compression efficiency for multiview video, however, MVC encoded multiview video (MVC ...
    • MIKEY and SRTP integration for multicast streaming. 

      Asghar, Mamoona Naveed; Sharmin, Moizza; Baig, Shiraz; Javaid, Qaisar; Rashid, Khalid (Euro Journals, 2006)
      This paper presents the design and implementation of key management architecture for secure multimedia audio streaming to multicast receivers. It describes the methods and techniques which are used in making a multicast ...
    • MR-Edge: a MapReduce-based Protocol for IoT Edge Computing with resource constraints. 

      Wang, Qian; Lee, Brian; Murray, Niall; Qiao, Yuansong (IEEE Xplore, 2019)
      Edge computing is proposed to remedy the Cloud-only processing architecture for Internet of Things (IoT) because of the massive amounts of IoT data. The challenge is how to deploy and execute data processing tasks ...
    • Multiple-scent enhanced multimedia synchronization. 

      Murray, Niall; Lee, Brian; Qiao, Yuansong; Muntean, Gabriel-Miro (ACM, 2014-09)
      This study looked at users' perception of inter-stream synchronization between audiovisual media and two olfactory streams. The ability to detect skews, and the perception and impact of skews on user quality of experience ...
    • 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, ...
    • A new image encryption algorithm based on heterogeneous chaotic neural network generator and dna encoding. 

      Maddodi, Gururaj; Awad, Abir; Awad, Dounia; Award, Mirna; Lee, Brian (Springer, 2018-02)
      This paper presents a new combined neural network and chaos based pseudorandom sequence generator and a DNA-rules based chaotic encryption algorithm for secure transmission and storage of images. The proposed scheme uses ...
    • Olfaction-enhanced multimedia: a survey application domains, displays and research challenges. 

      Murray, Niall; Lee, Brian; Qiao, Yuansong; Muntean, Gabriel-Miro (ACM, 2016-05)
      Recently, the concept of olfaction-enhanced multimedia applications has gained traction as a step towards further enhancing user quality of experience. The next generation of rich media services will be immersive and ...