Luc Jonveaux | Searcharxiv

arXiv2024

Using Large Language Models for a standard assessment mapping for sustainable communities

This paper presents a new approach to urban sustainability assessment through the use of Large Language Models (LLMs) to streamline the use of the ISO 37101 framework to automate and standardise the assessment of urban initiatives against the six "sustainability purposes" and twelve "issues" outlined in the standard. The methodology includes the development of a custom prompt based on the standard definitions and its application to two different datasets: 527 projects from the Paris Participatory Budget and 398 activities from the PROBONO Horizon 2020 project. The results show the effectiveness of LLMs in quickly and consistently categorising different urban initiatives according to sustainability criteria. The approach is particularly promising when it comes to breaking down silos in urban planning by providing a holistic view of the impact of projects. The paper discusses the advantages of this method over traditional human-led assessments, including significant time savings and improved consistency. However, it also points out the importance of human expertise in interpreting results and ethical considerations. This study hopefully can contribute to the growing body of work on AI applications in urban planning and provides a novel method for operationalising standardised sustainability frameworks in different urban contexts.

cs.CY↗

arXiv2017

A low-cost, arduino-like dev-kit for single-element ultrasound imaging

Ultrasound imaging is developing an open-source ecosystem, especially for software frameworks. Little exists on the open-hardware side. Hence a focus was put on producing easy-to-use technological (hardware and software) kit to allow anyone - scientists, academics, hackers, makers to have a experimental setup for ultrasound imaging at a low cost, at home, with no specific equipment required. To this end, open source, arduino-like modules have been developed to build a simple, but complete, single channel analog front-end system, where all intermediary signals are readily accessible by the user. A single-channel architecture allows to avoid the beam-forming head, though it limits the quality of the image obtained, and brings robustness to the system. Moreover, complex RF processing, being shifted to the analog side, limits the quality of the final image. These were tested with re-purposed ultrasound mechanical scanner heads, as well as re-purposed medical imaging transducers, and provided interesting images. Moreover, such modules could also be used in RF projects, non-destructive projects, low-cost medical imaging projects.

physics.med-ph↗