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With Electric Vehicles (EVs) emerging as the dominant mode of green transportation in the UK, it is critical that local authorities and urban planners can accurately map the existing EV infrastructures in place. In this paper, we demonstrate a novel data processing pipeline to analyse remotely sensed image data to highlight areas of a city most suitable for EV infrastructure. By applying deep transfer learning to multiple datasets, we are able to identify individual addresses suitable for the installation of home EV charging points. Using this same methodology, we also highlight areas where community charging points would be most effectively installed. We improve on previous methods by integrating topographical data, Census data, and remotely sensed image data to achieve a fully automated system capable of large-scale surveying of external building characteristics.

Adoption of robots in the manufacturing environment is a way to improve productivity, and the assembly of electronic components has benefited from the adoption of highly dedicated automation equipment. Traditionally, articulated 6-axis robots have not been used in electronic surface mount assembly. However, the need for more flexible production systems that can be used for low to medium production builds means that these robots can be used due to their high degrees of flexibility, excellent repeatability and increasingly lower investment costs. This research investigated the application of an articulated robot with six degrees of freedom to assemble a multi-component printed circuit board (PCB) for an electronic product. A heuristic methodology using a genetic algorithm was used to plan the optimal sequence and identify the best location of the parts to the assembly positions on the PCB. Using the optimised paths, a condition monitoring method for cycle time evaluation was conducted using a KUKA KR16 assembly cell together with four different robot path motions. The genetic algorithm approach together with different assembly position iterations identified an optimisation method for improved production throughput using a non-traditional but highly flexible assembly method. The application of optimised articulated robots for PCB assembly can bridge the gap between manual assembly and the high-throughput automation equipment.

Work in chemical laboratories must ensure worker health protection and comply with laws and regulations on occupational hygiene by identifying, assessing, and controlling process-related risk factors. A critical aspect is the number of dangerous substances used, especially those with chronic toxicity, but also compounds used under dispersive conditions. Here, we describe strategies and methods of measurement and of interpretation of data. Analysis of the results of our investigations and how we solved the problems that presented themselves enabled us to evaluate the efficacy of the prevention measures implemented; the process we used aimed to evaluate and reduce chemical risk to the lowest technically possible value.

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This communication presents and discusses an experimental proof of the correlation among local structure and second harmonic generation (SHG) in bulk nanostructured potassium niobiosilicate (KNS) glasses. In particular, SHG shows a maximum in correspondence of the early stages of nanostructuring, that are characterized by the segregation within the amorphous matrix of nanosized inhomogeneities. EXAFS experiments indicate that these inhomogeneities are determined by the maximum size reached by the niobium second coordination shell combined with the sudden inclusion of potassium atoms in it. Such rearrangement at the local level determines the maximum fluctuation of the bulk glass refractive index and in turn its maximum SHG activity.

The ultrafast thermal and mechanical dynamics of a two-dimensional lattice of metallic nano-disks has been studied by near infrared pump-probe diffraction measurements, over a temporal range spanning from 100 fs to several nanoseconds. The experiments demonstrate that, in these systems, a two-dimensional surface acoustic wave (2DSAW), with a wavevector given by the reciprocal periodicity of the array, can be excited by ~120 fs Ti:sapphire laser pulses. In order to clarify the interaction between the nanodisks and the substrate, numerical calculations of the elastic eigenmodes and simulations of the thermodynamics of the system are developed through finite-element analysis. At this light, we unambiguously show that the observed 2DSAW velocity shift originates from the mechanical interaction between the 2DSAWs and the nano-disks, while the correlated 2DSAW damping is due to the energy radiation into the substrate., 13 pages, 10 figures

Nonlinear photoemission from a silver single crystal is investigated by femtosecond laser pulses in a perturbative regime. A clear observation of above-threshold photoemission in solids is reported for the first time. The ratio between the three-photon above-threshold and the two-photon Fermi edges is found to be 10^{-4}. This value constitutes the only available benchmark for theories aimed at understanding the mechanism responsible for above-threshold photoemission in solids., Comment: 5 pages, 4 figures