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Supercontinuum sources for multimodal MIR-OCT imaging (2019)
Conference Proceeding
Zorin, I., Kilgus, J., Brandstetter, M., Su, R., & Heise, B. (2019). Supercontinuum sources for multimodal MIR-OCT imaging

In this paper we present a multimodal OCT imaging system operating in the NIR and MIR spectral region. NIR/MIR Supercontinuum source based multimodal OCT provides new insights in scattering materials. The system combines the modality of OCT and spect... Read More about Supercontinuum sources for multimodal MIR-OCT imaging.

Pores Structure Change Induced by Heat Treatment in Cold-Sprayed Ti6Al4V Coating (2019)
Journal Article
Zhou, H., Li, C., Yang, H., Luo, X., Yang, G., Li, W., …Li, C. (2019). Pores Structure Change Induced by Heat Treatment in Cold-Sprayed Ti6Al4V Coating. Journal of Thermal Spray Technology, 1-13. doi:10.1007/s11666-019-00882-0

In this study, the evolution of pores structure in cold-sprayed Ti6Al4V coating (TC4) was analyzed before and after 600-1100 °C heat treatment. It was found that almost no change happened to pores under the heat treatment temperature below 600 °C. Wh... Read More about Pores Structure Change Induced by Heat Treatment in Cold-Sprayed Ti6Al4V Coating.

Exergy Analysis and Evaluation of the Different Flowsheeting Configurations for CO2 Capture Plant Using 2-Amino-2-Methyl-1-Propanol (AMP) (2019)
Journal Article
Osagie, E., Aliyu, A. M., Nnabuife, S. G., Omoregbe, O., & Etim, V. (2019). Exergy Analysis and Evaluation of the Different Flowsheeting Configurations for CO2 Capture Plant Using 2-Amino-2-Methyl-1-Propanol (AMP). Processes, 7(6), doi:10.3390/pr7060391

This paper presents steady-state simulation and exergy analysis of the 2-amino-2-methyl-1-propanol (AMP)-based post-combustion capture (PCC) plant. Exergy analysis provides the identification of the location, sources of thermodynamic inefficiencies,... Read More about Exergy Analysis and Evaluation of the Different Flowsheeting Configurations for CO2 Capture Plant Using 2-Amino-2-Methyl-1-Propanol (AMP).

Evaluation of vegetation communities, water table, and peat composition as drivers of greenhouse gas emissions in lowland tropical peatlands (2019)
Journal Article
Hoyos-Santillan, J., Lomax, B. H., Large, D., Turner, B. L., Lopez, O. R., Boom, A., …Sjögersten, S. (2019). Evaluation of vegetation communities, water table, and peat composition as drivers of greenhouse gas emissions in lowland tropical peatlands. Science of the Total Environment, 688, 1193-1204. doi:10.1016/j.scitotenv.2019.06.366

A novel non-iterative parameter estimation method for interval type-2 fuzzy neural networks based on a dynamic cost function (2019)
Conference Proceeding
Khanesar, M. A., Hassan, S., Cambria, E., & Kayacan, E. (2019). A novel non-iterative parameter estimation method for interval type-2 fuzzy neural networks based on a dynamic cost function

Non-iterative methods for parameter estimation for interval type-2 neuro-fuzzy structure are fast to implement, when compared to online methods, and need no –or a few– parameters to be tuned. In this paper, a novel dynamic cost function, which define... Read More about A novel non-iterative parameter estimation method for interval type-2 fuzzy neural networks based on a dynamic cost function.

An interview analysis of coordination behaviours in out-of-hours secondary care (2019)
Journal Article
Martindale, S., Golightly, D., Pinchin, J., Shaw, D., Blakey, J., Perez, I., & Sharples, S. (2019). An interview analysis of coordination behaviours in out-of-hours secondary care. Applied Ergonomics, 81, doi:10.1016/j.apergo.2019.05.011

This paper seeks to elicit and structure the factors that shape the execution and, in particular, the coordination of work in Out of Hours care. Evenings and weekends in UK hospitals are managed by specific Out of Hours (OoH) care arrangements, and a... Read More about An interview analysis of coordination behaviours in out-of-hours secondary care.

Modelling of coherence scanning interferometry for complex surfaces based on a boundary element method (2019)
Journal Article
Thomas, M., Su, R., Nikolaev, N., Coupland, J., & Leach, R. (2019). Modelling of coherence scanning interferometry for complex surfaces based on a boundary element method. Proceedings of SPIE, 11057, 1-12. doi:10.1117/12.2526015

Coherence scanning interferometry (CSI) is a well-established technique for measuring surface topography based on the coherence envelope and phase of interference fringes. The most commonly used surface reconstruction methods, i.e. frequency domain a... Read More about Modelling of coherence scanning interferometry for complex surfaces based on a boundary element method.

Masonry mechanical properties (2019)
Book Chapter
Ghiassi, B., Vermelfoort, A., & Lourenço, P. (2019). Masonry mechanical properties. In Numerical Modeling of Masonry and Historical Structures: From Theory to Application, 239-261. Elsevier. doi:10.1016/b978-0-08-102439-3.00007-5

Different approaches can be followed for numerical modeling of masonry and historical structures. Depending on the modeling strategy and level of complexity involved, a set of input parameters related to linear and nonlinear properties of units and m... Read More about Masonry mechanical properties.

Macromodeling approach for pushover analysis of textile-reinforced mortar-strengthened masonry (2019)
Book Chapter
Oliveira, D. V., Ghiassi, B., Reza Allahvirdizadeh, , Wang, X., Mininno, G., & Silva, R. A. (2019). Macromodeling approach for pushover analysis of textile-reinforced mortar-strengthened masonry. In Numerical Modeling of Masonry and Historical Structures: From Theory to Application, 745-778. Elsevier. doi:10.1016/b978-0-08-102439-3.00021-x

The strengthening of masonry structures using composite-based solutions has received significant research attention in recent years due to their proved considerable influence on enhancing structural characteristics, for example, stiffness and strengt... Read More about Macromodeling approach for pushover analysis of textile-reinforced mortar-strengthened masonry.

Advanced finite element modeling of textile-reinforced mortar strengthened masonry (2019)
Book Chapter
Bertolesi, E., Milani, G., & Ghiassi, B. (2019). Advanced finite element modeling of textile-reinforced mortar strengthened masonry. In Numerical Modeling of Masonry and Historical Structures:From Theory to Application, 713-743. Elsevier. doi:10.1016/b978-0-08-102439-3.00020-8

Fabric-reinforced cementitious matrix (FRCM) strengthening is an innovative technology for effective reduction of seismic vulnerability of existing masonry and historical structures. At present, numerical modeling strategies for evaluation of the in-... Read More about Advanced finite element modeling of textile-reinforced mortar strengthened masonry.

Pushover analysis of fiber-reinforced polymer-strengthened masonry (2019)
Book Chapter
Ghiassi, B., Oliveira, D., Grande, E., & Lignola, G. (2019). Pushover analysis of fiber-reinforced polymer-strengthened masonry. In Numerical Modeling of Masonry and Historical Structures: From Theory to Application, 629-657. Elsevier. doi:10.1016/b978-0-08-102439-3.00017-8

This chapter presents an overview of modeling techniques commonly used for pushover analysis fiber-reinforced polymer (FRP)-strengthened masonry components. This technique, consisting of a static nonlinear analysis generally performed by monotonicall... Read More about Pushover analysis of fiber-reinforced polymer-strengthened masonry.

Theoretical and FE models for the study of the bond behavior of FRCM systems (2019)
Book Chapter
Grande, E., Ghiassi, B., & Imbimbo, M. (2019). Theoretical and FE models for the study of the bond behavior of FRCM systems. In Numerical Modeling of Masonry and Historical Structures: From Theory to Application, 685-712. Elsevier. doi:10.1016/b978-0-08-102439-3.00019-1

The bond behavior at the interfaces of fabric-reinforced cementitious matrix (FRCM)-strengthened masonry is a critical mechanism in the nonlinear response of strengthened masonry structures. The current literature contains interesting experimental, t... Read More about Theoretical and FE models for the study of the bond behavior of FRCM systems.

Layered Al2O3-SiO2 and Al2O3-Ta2O5 thin-film composites for high dielectric strength, deposited by pulsed direct current and radio frequency magnetron sputtering (2019)
Journal Article
Hanby, B. V., Stuart, B. W., Gimeno-Fabra, M., Moffat, J., Gerada, C., & Grant, D. M. (2019). Layered Al2O3-SiO2 and Al2O3-Ta2O5 thin-film composites for high dielectric strength, deposited by pulsed direct current and radio frequency magnetron sputtering. Applied Surface Science, 492, 328-336. doi:10.1016/j.apsusc.2019.06.202

Multilayer thin films have the potential to act as high dielectric strength insulation for wire and microelectronics. In this study, films consisting of 2, 4 or 8 layers, composed of Al2O3 with SiO2 or Ta2O5, were prepared via pulsed direct current a... Read More about Layered Al2O3-SiO2 and Al2O3-Ta2O5 thin-film composites for high dielectric strength, deposited by pulsed direct current and radio frequency magnetron sputtering.

New Precursors Derived Activated Carbon and Graphene for Aqueous Supercapacitors with Unequal Electrode Capacitances (2019)
Journal Article
Yao, C., & Zheng, C. G. (2019). New Precursors Derived Activated Carbon and Graphene for Aqueous Supercapacitors with Unequal Electrode Capacitances. Acta Physico-Chimica Sinica, 36(2), https://doi.org/10.3866/PKU.WHXB201904025

Carbon materials can offer various micro-and nano-structures, and bulk and surface functionalities, and hence remain most popular for manufacturing supercapacitors. This article reviews critically recent development in preparation of carbon materials... Read More about New Precursors Derived Activated Carbon and Graphene for Aqueous Supercapacitors with Unequal Electrode Capacitances.

Robots in special education: reasons for low uptake (2019)
Journal Article
Galvez Trigo, M. J., Standen, P. J., & Cobb, S. V. G. (2019). Robots in special education: reasons for low uptake. Journal of Enabling Technologies, 13(2), 59-69. https://doi.org/10.1108/jet-12-2018-0070

Purpose: This paper identifies the main reasons for low uptake of robots in Special Education, obtained from an analysis of previous studies that used robots in the area, and from interviewing Special Education teachers about the topic. Design/me... Read More about Robots in special education: reasons for low uptake.

Vector control strategies to enable equal frequency operation of the modular multilevel matrix converter (2019)
Journal Article
Diaz, M., Espinosa, M., Rojas, F., Wheeler, P., & Cardenas, R. (2019). Vector control strategies to enable equal frequency operation of the modular multilevel matrix converter. Journal of Engineering, 2019(17), 4214-4219. doi:10.1049/joe.2018.8028

The modular multilevel matrix converter (M3C) is a power converter topology for ac to ac conversion that is suitable for high-power applications. The control of this converter is complex, particularly if ac system frequencies are similar. In these ca... Read More about Vector control strategies to enable equal frequency operation of the modular multilevel matrix converter.

New perspectives on supercritical methane adsorption in shales and associated thermodynamics (2019)
Journal Article
Tang, X., Ripepi, N., Rigby, S., Mokaya, R., & Gilliland, E. (2019). New perspectives on supercritical methane adsorption in shales and associated thermodynamics. Journal of Industrial and Engineering Chemistry, 78, 186-197. https://doi.org/10.1016/j.jiec.2019.06.015

Understanding methane adsorption behavior in shales is fundamental for optimizing shale gas development as the adsorbed methane is a large portion of the subsurface shale gas resource. However, the adsorption mechanism of supercritical methane in sha... Read More about New perspectives on supercritical methane adsorption in shales and associated thermodynamics.

Towards an active learning approach to tool condition monitoring with Bayesian deep learning (2019)
Conference Proceeding
Martinez Arellano, G., & Ratchev, S. (2019). Towards an active learning approach to tool condition monitoring with Bayesian deep learning

With the current advances in the Internet of Things (IoT), smart sensors and Artificial Intelligence (AI), a new generation of condition monitoring solutions for smart manufacturing is starting to emerge. Computer Numerical Control (CNC) machines can... Read More about Towards an active learning approach to tool condition monitoring with Bayesian deep learning.