All Outputs (401)

FixM: Code generation of fixed point mathematical functions (2020)
Journal Article
Cattaneo, D., Chiari, M., Magnani, G., Fossati, N., Cherubin, S., & Agosta, G. (2021). FixM: Code generation of fixed point mathematical functions. Sustainable Computing, 29, part B, Article 100478. https://doi.org/10.1016/j.suscom.2020.100478

Approximate computing has seen significant interest as a design philosophy oriented to performance and energy efficiency [1]. Precision tuning is an approximate computing technique that trades off the accuracy of operations for performance and energy... Read More about FixM: Code generation of fixed point mathematical functions.

Low Energy Architecture and Low Carbon Cities: Exploring Links, Scales, and Environmental Impacts (2020)
Journal Article
Pomponi, F., & D’Amico, B. (2020). Low Energy Architecture and Low Carbon Cities: Exploring Links, Scales, and Environmental Impacts. Sustainability, 12(21), Article 9189. https://doi.org/10.3390/su12219189

Projected population growth and urbanization rates will create a huge demand for new buildings and put an unprecedented pressure on the natural environment and its limited resources. Architectural design has often focused on passive or low-energy app... Read More about Low Energy Architecture and Low Carbon Cities: Exploring Links, Scales, and Environmental Impacts.

Equality of restraint: Reframing road safety through the ethics of private motorised transport (2020)
Journal Article
Davis, A. L., & Obree, D. (2020). Equality of restraint: Reframing road safety through the ethics of private motorised transport. Journal of transport & health, 19, Article 100970. https://doi.org/10.1016/j.jth.2020.100970

Background Motoring is an emancipation. It is both an individual freedom and a collective freedom with car ownership at 30, 491, 000 vehicles by 2019 in Great Britain. Yet, as the evidence of the impacts of road transport accumulates and the health... Read More about Equality of restraint: Reframing road safety through the ethics of private motorised transport.

Separation Techniques of Partial Discharges and Electrical Noise Sources: A Review of Recent Progress (2020)
Journal Article
Ardila-Rey, J. A., Cerda-Luna, M. P., Rozas-Valderrama, R. A., de Castro, B. A., Andreoli, A. L., & Muhammad-Sukki, F. (2020). Separation Techniques of Partial Discharges and Electrical Noise Sources: A Review of Recent Progress. IEEE Access, 8, 199449-19

Partial discharge (PD) monitoring is one of the most used tools for diagnosing the condition of electrical equipment and machines that operate normally at high voltage levels. Ideally, PD identification can be easily done if there is a single source... Read More about Separation Techniques of Partial Discharges and Electrical Noise Sources: A Review of Recent Progress.

Study Skills: neoliberalism’s perfect Tinkerbell (2020)
Journal Article
Richards, K., & Pilcher, N. (2023). Study Skills: neoliberalism’s perfect Tinkerbell. Teaching in Higher Education, 28(3), 580-596. https://doi.org/10.1080/13562517.2020.1839745

We argue that current approaches to Study Skills support are presented as being a panacea for resolving the issues presented by neoliberal approaches to educational expansion. We argue that for such a panacea to be believed pedagogically effective, f... Read More about Study Skills: neoliberalism’s perfect Tinkerbell.

COM-PACE: Compliance-Aware Cloud Application Engineering Using Blockchain (2020)
Journal Article
Singh Aujla, G., Barati, M., Rana, O., Dustdar, S., Noor, A., Tomas Llanos, J., …Ranjan, R. (2020). COM-PACE: Compliance-Aware Cloud Application Engineering Using Blockchain. IEEE Internet Computing, 24(5), 45-53. https://doi.org/10.1109/mic.2020.301448

The COVID19 Pandemic has highlighted our dependence on online services (from government, e-commerce/retail, and entertainment), often hosted over external cloud computing infrastructure. The users of these services interact with a web interface rathe... Read More about COM-PACE: Compliance-Aware Cloud Application Engineering Using Blockchain.

Two-Hop Monitoring Mechanism Based on Relaxed Flow Conservation Constraints against Selective Routing Attacks in Wireless Sensor Networks (2020)
Journal Article
Derhab, A., Bouras, A., Belaoued, M., Maglaras, L., & Khan, F. A. (2020). Two-Hop Monitoring Mechanism Based on Relaxed Flow Conservation Constraints against Selective Routing Attacks in Wireless Sensor Networks. Sensors, 20(21), Article 6106. https://doi

In this paper, we investigate the problem of selective routing attack in wireless sensor networks by considering a novel threat, named the upstream-node effect, which limits the accuracy of the monitoring functions in deciding whether a monitored nod... Read More about Two-Hop Monitoring Mechanism Based on Relaxed Flow Conservation Constraints against Selective Routing Attacks in Wireless Sensor Networks.

"Maybe we can work together": Researchers’ outcome expectations for sharing knowledge on social media (2020)
Journal Article
Alshahrani, H., & Pennington, D. (2021). "Maybe we can work together": Researchers’ outcome expectations for sharing knowledge on social media. Global Knowledge, Memory and Communication, 70(4/5), 377-398. https://doi.org/10.1108/GKMC-07-2020-0093

Purpose: This study aims to investigate the outcomes that researchers expect from using social media for knowledge sharing and to explore how these outcomes impact their use. Design/methodology/approach: The authors conducted 30 semi-structured inter... Read More about "Maybe we can work together": Researchers’ outcome expectations for sharing knowledge on social media.

Study on On-Chip Antenna Design Based on Metamaterial-Inspired and Substrate Integrated Waveguide Properties for Millimetre-Wave and THz Integrated-Circuit Applications (2020)
Journal Article
Alibakhshikenari, M., Virdee, B., Althuwayb, A., Aissa, S., See, C. H., Abd-Alhameed, R., Falcone, F., & Limiti, E. (2021). Study on On-Chip Antenna Design Based on Metamaterial-Inspired and Substrate Integrated Waveguide Properties for Millimetre-Wave an

This paper presents the results of a study on improving the performance parameters such as the impedance bandwidth, radiation gain and efficiency, as well as suppressing substrate loss of an innovative antenna for on-chip implementation for millimetr... Read More about Study on On-Chip Antenna Design Based on Metamaterial-Inspired and Substrate Integrated Waveguide Properties for Millimetre-Wave and THz Integrated-Circuit Applications.

The influence of traffic, geometric and context variables on urban crash types: a grouped random parameter multinomial logit approach (2020)
Journal Article
Intini, P., Berloco, N., Fonzone, A., Fountas, G., & Ranieri, V. (2020). The influence of traffic, geometric and context variables on urban crash types: a grouped random parameter multinomial logit approach. Analytic Methods in Accident Research, 28, Arti

Numerous road safety studies have been dedicated to the estimation of crash frequency and injury severity models. However, previous research has shown that different factors may influence the occurrence of crashes of different types. In this study, a... Read More about The influence of traffic, geometric and context variables on urban crash types: a grouped random parameter multinomial logit approach.

A Comprehensive Survey on “Various Decoupling Mechanisms With Focus on Metamaterial and Metasurface Principles Applicable to SAR and MIMO Antenna Systems” (2020)
Journal Article
Althuwayb, A. A., Alibakhshikenari, M., Babaeian, F., Virdee, B. S., Aïssa, S., Azpilicueta, L., See, C. H., Huynen, I., Abd-Alhameed, R. A., Falcone, F., & Limiti, E. (2020). A Comprehensive Survey on “Various Decoupling Mechanisms With Focus on Met

Nowadays synthetic aperture radar (SAR) and multiple-input-multiple-output (MIMO) antenna systems with the capability to radiate waves in more than one pattern and polarization are playing a key role in modern telecommunication and radar systems. Thi... Read More about A Comprehensive Survey on “Various Decoupling Mechanisms With Focus on Metamaterial and Metasurface Principles Applicable to SAR and MIMO Antenna Systems”.

Fault diagnosis based on extremely randomized trees in wireless sensor networks (2020)
Journal Article
Saeed, U., Jan, S. U., Lee, Y., & Koo, I. (2021). Fault diagnosis based on extremely randomized trees in wireless sensor networks. Reliability Engineering and System Safety, 205, Article 107284. https://doi.org/10.1016/j.ress.2020.107284

Wireless Sensor Network (WSN) being highly diversified cyber–physical system makes it vulnerable to numerous failures, which can cause devastation towards safety, economy, and systems’ reliability. Precise detection and diagnosis of failures or fault... Read More about Fault diagnosis based on extremely randomized trees in wireless sensor networks.

Estimation of component contributions to total terrestrial water storage change in the Yangtze River basin (2020)
Journal Article
Chao, N., Jin, T., Cai, Z., Chen, G., Liu, X., & Wang, Z. (2021). Estimation of component contributions to total terrestrial water storage change in the Yangtze River basin. Journal of Hydrology, 595, Article 125661. https://doi.org/10.1016/j.jhydrol.2020

Terrestrial water storage (TWS) is a key variable in global and regional hydrological cycles. In this study, the TWS changes in the Yangtze River Basin (YRB) were derived using the Lagrange multiplier method (LMM) from Gravity Recovery and Climate Ex... Read More about Estimation of component contributions to total terrestrial water storage change in the Yangtze River basin.

A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments (2020)
Journal Article
Al-Ghadir, A. I., Azmi, A. M., & Hussain, A. (2021). A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments. Information Fusion, 67, 29-40. https://doi.org/10.1016/j.inffus.2020.10.003

Stance detection is a relatively new concept in data mining that aims to assign a stance label (favor, against, or none) to a social media post towards a specific pre-determined target. These targets may not be referred to in the post, and may not be... Read More about A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments.

A definition and valuation of the UK offsite construction sector: ten years on (2020)
Journal Article
Taylor, M. (2022). A definition and valuation of the UK offsite construction sector: ten years on. International journal of construction management, 22(15), 2877-2885. https://doi.org/10.1080/15623599.2020.1829783

Ten years on the offsite construction (OSC) industry continues to be held high as a panacea to the inefficiencies, labour shortages and environmental impact of the construction of our built environment. Speculation concerning the gross output and the... Read More about A definition and valuation of the UK offsite construction sector: ten years on.

Empowering and Engaging European building users for energy efficiency (2020)
Journal Article
Morton, A., Reeves, A., Bull, R., & Preston, S. (2020). Empowering and Engaging European building users for energy efficiency. Energy Research and Social Science, 70, Article 101772. https://doi.org/10.1016/j.erss.2020.101772

Amidst the challenge of improving energy efficiency in the built environment, increasing attention is being put on how to engage and empower building users. Research shows that improving and widening user engagement, such as involving users in co-des... Read More about Empowering and Engaging European building users for energy efficiency.

The principal-agent problem in contracting public transport provision to private operators: A case study of the UK Quality Contract Scheme (2020)
Journal Article
McTigue, C., Monios, J., & Rye, T. (2020). The principal-agent problem in contracting public transport provision to private operators: A case study of the UK Quality Contract Scheme. Utilities Policy, 67, Article 101131. https://doi.org/10.1016/j.jup.2020

This study explores the principal-agent problem as part of a broader discussion of the challenges of privatising and outsourcing of public utilities. The research asks: how can a public transport authority (the principal) motivate bus operators (agen... Read More about The principal-agent problem in contracting public transport provision to private operators: A case study of the UK Quality Contract Scheme.

A Less Intrusive Solution To Stablize VSC Transmission Against Highly Variable Grid Strength (2020)
Journal Article
Zhang, Z., Chen, D., Givaki, K., & Xu, L. (2021). A Less Intrusive Solution To Stablize VSC Transmission Against Highly Variable Grid Strength. IEEE Journal of Emerging and Selected Topics in Power Electronics, 9(6), 7199-7211. https://doi.org/10.1109/JES

A less-intrusive solution to stabilize a Voltage Source Converter (VSC) over an unknown grid strength is presented in this paper. The existence of equilibrium point is investigated as a prerequisite to stabilization. By partially imposing grid formin... Read More about A Less Intrusive Solution To Stablize VSC Transmission Against Highly Variable Grid Strength.

Active Learning for Interactive Audio-Animatronic Performance Design (2020)
Journal Article
Castellon, J., Bächer, M., McCrory, M., Ayala, A., Stolarz, J., & Mitchell, K. (2020). Active Learning for Interactive Audio-Animatronic Performance Design. The Journal of Computer Graphics Techniques, 9(3), 1-19

We present a practical neural computational approach for interactive design of Audio-Animatronic® facial performances. An offline quasi-static reference simulation, driven by a coupled mechanical assembly, accurately predicts hyperelastic skin deform... Read More about Active Learning for Interactive Audio-Animatronic Performance Design.

Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection (2020)
Journal Article
Tian, Z., Shi, W., Tan, Z., Qiu, J., Sun, Y., Jiang, F., & Liu, Y. (in press). Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection. Mobile Networks and Applications, https://doi.org/10.1007/s11036-020-01656-7

Organizations' own personnel now have a greater ability than ever before to misuse their access to critical organizational assets. Insider threat detection is a key component in identifying rare anomalies in context, which is a growing concern for ma... Read More about Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection.