Outputs (4095)

The Security Aspects of Automotive Over-the-Air Updates (2020)
Journal Article
Howden, J., Maglaras, L., & Ferrag, M. A. (2020). The Security Aspects of Automotive Over-the-Air Updates. International Journal of Cyber Warfare and Terrorism, 10(2), 64-81. https://doi.org/10.4018/ijcwt.2020040104

Over-the-air (OTA) update is a method for vehicle manufacturers to remotely distribute maintenance updates, performance, and feature enhancements through the vehicle's lifespan. Recalls of vehicles cost the manufactures a lot of money. OTA solves the... Read More about The Security Aspects of Automotive Over-the-Air Updates.

Energy demand forecasting of buildings using random neural networks (2020)
Journal Article
Ahmad, J., Tahir, A., Larijani, H., Ahmed, F., Aziz Shah, S., Hall, A. J., & Buchanan, W. J. (2020). Energy demand forecasting of buildings using random neural networks. Journal of Intelligent and Fuzzy Systems, 38(4), 4753-4765. https://doi.org/10.3233/jifs-191458

Energy uncertainty and ecological pressures have contributed to a high volatility in energy demand and consumption. The building sector accounts for 30 to 40% of the total global energy consumption. There is a high demand for novel techniques and via... Read More about Energy demand forecasting of buildings using random neural networks.

Simulador de Robótica Educativa para la promoción del Pensamiento Computacional | Educational Robotics simulator for fostering Computational Thinking (2020)
Journal Article
Ángel-Díaz, C. M., Segredo, E., Arnay, R., & León, C. (2020). Simulador de Robótica Educativa para la promoción del Pensamiento Computacional | Educational Robotics simulator for fostering Computational Thinking. RED. Revista de Educación a Distancia, 20(63), https://doi.org/10.6018/red.410191

Este trabajo presenta una herramienta Web libre y gratuita que facilita a cualquier centro educativo la enseñanza de conceptos básicos sobre robótica y programación y que, al mismo tiempo, permite desarrollar habilidades relacionadas con el pensamien... Read More about Simulador de Robótica Educativa para la promoción del Pensamiento Computacional | Educational Robotics simulator for fostering Computational Thinking.

Learning from COVID-19: Design, Age-friendly Technology, Hacking and Mental Models (2020)
Journal Article
White, P., Marston, H. R., Shore, L., & Turner, R. (2023). Learning from COVID-19: Design, Age-friendly Technology, Hacking and Mental Models. Emerald Open Research, 1(2), https://doi.org/10.35241/emeraldopenres.13599.1

In March 2020 the United Nations published an open brief for the creative community to propose interventions to the unfolding COVID-19 pandemic. However, when faced with unprecedented wicked problems such as these, the rigour of design and creative p... Read More about Learning from COVID-19: Design, Age-friendly Technology, Hacking and Mental Models.

Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App (2020)
Journal Article
Gadioli, D., Palermo, G., Cherubin, S., Vitali, E., Agosta, G., Manelfi, C., Beccari, A. R., Cavazzoni, C., Sanna, N., & Silvano, C. (2021). Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App. Journal of Supercomputing, 77(1), 841-869. https://doi.org/10.1007/s11227-020-03295-x

The drug discovery process involves several tasks to be performed in vivo, in vitro and in silico. Molecular docking is a task typically performed in silico. It aims at finding the three-dimensional pose of a given molecule when it interacts with the... Read More about Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App.

Chaos‐based privacy preserving vehicle safety protocol for 5G Connected Autonomous Vehicle networks (2020)
Journal Article
Ansari, S., Ahmad, J., Aziz Shah, S., Kashif Bashir, A., Boutaleb, T., & Sinanovic, S. (2020). Chaos‐based privacy preserving vehicle safety protocol for 5G Connected Autonomous Vehicle networks. Transactions on Emerging Telecommunications Technologies, 31(5), Article e3966. https://doi.org/10.1002/ett.3966

There is a high demand for secure and reliable communications for Connected Autonomous Vehicles (CAVs) in the automotive industry. Privacy and security are key issues in CAVs, where network attacks can result in fatal accidents. The computational tim... Read More about Chaos‐based privacy preserving vehicle safety protocol for 5G Connected Autonomous Vehicle networks.

A Novel Multimodal Collaborative Drone-Assisted VANET Networking Model (2020)
Journal Article
Lin, N., Fu, L., Zhao, L., Min, G., Al-Dubai, A., & Gacanin, H. (2020). A Novel Multimodal Collaborative Drone-Assisted VANET Networking Model. IEEE Transactions on Wireless Communications, 19(7), 4919-4933. https://doi.org/10.1109/TWC.2020.2988363

Drones can be used in many assistance roles in complex communication situations and play key roles as aerial wireless relays to help terrestrial network communications. Although a great deal of emphasis has been placed on the drone-assisted networks,... Read More about A Novel Multimodal Collaborative Drone-Assisted VANET Networking Model.

A Privacy-Preserving Secure Framework for Electric Vehicles in IoT using Matching Market and Signcryption (2020)
Journal Article
Kumar, G., Rai, M., Saha, R., Buchanan, W. J., Thomas, R., Geetha, G., Kim, T.-H., & Rodrigues, J. (2020). A Privacy-Preserving Secure Framework for Electric Vehicles in IoT using Matching Market and Signcryption. IEEE Transactions on Vehicular Technology, 69(7), 7707-7722. https://doi.org/10.1109/tvt.2020.2989817

The present world of vehicle technology is inclined to develop Electric Vehicles (EVs) with various optimized features. These vehicles need frequent charging which takes a longer time to charge up. Therefore, scheduling of vehicles in charging statio... Read More about A Privacy-Preserving Secure Framework for Electric Vehicles in IoT using Matching Market and Signcryption.

CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement (2020)
Journal Article
Gogate, M., Dashtipour, K., Adeel, A., & Hussain, A. (2020). CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement. Information Fusion, 63, 273-285. https://doi.org/10.1016/j.inffus.2020.04.001

Noisy situations cause huge problems for the hearing-impaired, as hearing aids often make speech more audible but do not always restore intelligibility. In noisy settings, humans routinely exploit the audio-visual (AV) nature of speech to selectively... Read More about CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement.

Tools for Reduced Precision Computation: A Survey (2020)
Journal Article
Cherubin, S., & Agosta, G. (2020). Tools for Reduced Precision Computation: A Survey. ACM computing surveys, 53(2), Article 33. https://doi.org/10.1145/3381039

The use of reduced precision to improve performance metrics such as computation latency and power consumption is a common practice in the embedded systems field. This practice is emerging as a new trend in High Performance Computing (HPC), especially... Read More about Tools for Reduced Precision Computation: A Survey.