bluuebunny/crossref_metadata_2025 huggingface dataset:
RESISTÊNCIA BACTERIANA DEVIDO AO USO INDISCRIMINADO DE ANTIBIÓTICOS
Authors: Neves Darlisson Lucas , Melo Gabriel dos Santos de , Luz Islan Santos da , Silva  Sthefany Azevedo da , Oliveira Cristiane Metzker Santana de
Published: December 2024

A automedicação com antibióticos está crescendo, afetando diretamente à saúde pública e contribuindo para a resistência antimicrobiana, conforme alertado pela Organização Mundial da Saúde (OMS). A falta de educação em saúde, acentuada durante a pandemia da COVID-19, permitiu que antibióticos fossem utilizados sem comprovação científica, levando a um uso inadequado. O fácil acesso a esses medicamentos sem prescrição, devido à fiscalização insuficiente e à venda online, é um fator que agrava a automedicação. No Brasil, em áreas com poucos serviços de saúde, essa prática se tornou comum, com pessoas comprando antibióticos sem orientação profissional. As consequências incluem o aumento da resistência bacteriana, tornando infecções comuns mais difíceis de tratar e exigindo antibióticos mais potentes devido a infecções simples se tornarem fatais. A atenção farmacêutica é crucial na prevenção de problemas relacionados ao uso de medicamentos, com farmacêuticos desempenhando um papel na avaliação e orientação sobre a prescrição. Campanhas educativas e colaboração entre profissionais de saúde são essenciais para promover o uso responsável de antibióticos, combatendo a resistência e protegendo a eficácia desses tratamentos no futuro.
ALÉM DOS MUROS DAS ESCOLAS: AS EXPERIÊNCIAS MÍTICAS E RELIGIOSAS DAS COMUNIDADES DE REMANESCENTES DE QUILOMBOLAS DE SANTARÉM -PA
Authors: Santos Cleidison da Silva , Cardoso Alesandra Lopes , Martins Arlon Carvalho , Miranda Igor de Sousa
Published: December 2024

O texto aborda a importância das formas simbólicas na construção da identidade das comunidades quilombolas, com foco na educação, nas práticas religiosas e míticas. As estruturas simbólicas, que permeiam os mitos e a religião, atuam como mediadores entre os indivíduos e suas comunidades, influenciando a percepção da realidade. A pesquisa investiga as experiências religiosas e míticas de três comunidades quilombolas de Santarém-PA, por meio de métodos etnográficos. Os resultados revelam que a exclusão desses saberes do ambiente escolar desestrutura a memória coletiva, destacando a urgência de integrar esses conhecimentos nas práticas educacionais, a fim de promovera a valorização cultural e histórica dessas comunidades.
CONSIDERAÇÕES ANESTÉSICAS NA CESARIANA E SEU IMPACTO NA SAÚDE MATERNA E NEONATAL
Authors: Oliveira Júlia Anizelli , Oliveira Rodrigo Moura de , Rymsza Taciana , Guth Vinicius , Bueno Marco Aurelio , Berti Eduarda Ferrari
Published: December 2024

Este artigo examina as considerações anestésicas durante a cesariana e seu impacto na saúde materna e neonatal. A cesariana, uma das cirurgias mais frequentes em obstetrícia, requer uma abordagem anestésica meticulosa para minimizar riscos e buscar resultados mais eficientes. Através de uma revisão de diretrizes reconhecidas, como as da American Society of Anesthesiologists e da Sociedade Brasileira de Anestesiologia, abordar-se-ão as técnicas anestésicas mais comuns, incluindo a anestesia geral e a regional, que quando indicada, apresenta benefícios em relação à recuperação materna e ao bem-estar neonatal; enquanto a anestesia geral pode estar associada a complicações. Conclui-se, portanto, que a escolha adequada da técnica anestésica, fundamentada na avaliação clínica rigorosa e diretrizes atualizadas, é essencial para garantir a segurança e a saúde de mães e bebês durante o procedimento cesáreo.
AS HABILIDADES SOCIOEMOCIONAIS E SEUS IMPACTOS NA APRENDIZAGEM
Authors: Matias Júlia Beatriz de Oliveira , Mélo Ana Mikésia de
Published: December 2024

Este estudo tem como objetivo investigar as habilidades socioemocionais e o papel que desempenha na aprendizagem. Usando uma abordagem metodológica qualitativa, por meio de entrevistas estruturadas, o presente estudo revela que as habilidades socioemocionais tem um impacto positivo e significativo no processo de aprendizagem, no entanto também identificou alguns desafios no que diz respeito a carga horária disponível para o desenvolvimento dessas competências, o que muitas vezes ocorre por conta de um currículo sobrecarregado. A pesquisa foi realizada em uma escola privada com dois professores, que foram nomeados de P1 e P2, com o intuito de contribuir nas análises dos resultados, que foi possível compreender como essa disseminação do conhecimento sobre as habilidades socioemocionais pode interferir na aprendizagem da criança, quando o professor não compreende sobre afetividade e sua relação com o aluno. A relação entre o docente e discente é fundamental para a construção dos conhecimentos. Neste sentido, a via afetiva dialoga com o cognitivo, considerando a interdependência dessas duas vias e suas contribuições no processo evolutivo do aluno. O presente estudo tem essa perspectiva de auxiliar na compreensão das habilidades socioemocionais e seus impactos na aprendizagem.
POPULAÇÃO MASCULINA: ADVERSIDADES NA ADESÃO AOS SERVIÇOS DE SAÚDE NA ATENÇÃO BÁSICA
Authors: Abrantes Joyce Iorrana Leandro , Medeiros Renata Lívia Silva Fônseca Moreira de , Souza Anne Caroline de , Oliveira Geane Silva
Published: December 2024

INTRODUÇÃO: O Brasil estabeleceu a saúde como um direito integral de todos os cidadãos, respaldado pelo acesso universal garantido pelo Sistema Único de Saúde (SUS), originado por meio do Movimento de Reforma Sanitária e ratificado pelas Leis nº 8.080/90 e nº 8.141/90, conforme a Constituição Federal de 1988. No entanto, observa-se uma baixa adesão dos homens à atenção básica, consequentemente, levando a um descaso em relação aos cuidados preventivos, que por sua vez são concedidos pela atenção primária, conceituada porta de entrada do SUS, posto isso, acaba resultando em maior necessidade de atendimento de maior complexidade e custos marcantes na gestão da saúde pública. OBJETIVO: Identificar as adversidades existentes que auxiliam na colaboração do baixo índice da população masculina nos serviços da atenção básica. METODOLOGIA: Trata-se de uma revisão integrativa da literatura. O levantamento de dados, foi realizado entre os meses de fevereiro e março de 2024, nas bases científicas no contexto das ciências da saúde, a saber: Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), National Library of Medicine (PUBMED), Biblioteca Virtual de Saúde (BVS), Web of Science (WoS), e Scientific Electronic Library Online (SCIELO. RESULTADOS E DISCUSSÃO: Os profissionais da saúde também identificam a falta de preparo e de políticas institucionais voltadas ao atendimento masculino como uma adversidade importante destacar que muitos profissionais se sentem despreparados para atender às necessidades específicas dos homens, e que a ausência de protocolos e treinamentos adequados limita a efetividade dos atendimentos. CONSIDERAÇÕES FINAIS: O estudo conclui que há uma baixa procura dos homens pelos serviços de saúde na Atenção Primária, devido a diversos fatores abordados ao longo da pesquisa.
Teaching geomatics to architecture students: low-cost modelling approach for critical interpretation of architectural design context
Authors: Cuca Branka
Published: December 2024

Abstract. Although the practice of architects and urban planners often relies on the data and products of geomatics disciplines, such as digital technical cartography, orthophotos and sophisticated digital models, the information about the instruments, technologies and techniques that produce such contents are seldom extensively included in the curricula of the future architects. A “playground” at which teaching staff of different disciplines, for example design, planning and geomatics, can meet and interact with each other in a wider interdisciplinary context, has been identified in a laboratorial university courses. The paper reports on a three-phases teaching method applied within the module of “Digital modelling” at the final year of the Bachelor degree in Architecture at Politecnico di Milano (Italy). The method is illustrated using two case studies: (i) a contemporary XX century prefabricated building, hosting one part of the Municipality archives in Milan and (ii) an impressive example of neoclassical architecture, Albergo dei Poveri in Naples. The aim of the paper is to illustrate how geomatics techniques can be integrated with courses of architecture design and urban planning with notable results achieved in students’ skill-development in terms of in-situ data acquisition using open data and low-cost instruments, data processing with low and no-cost state-of-the-art software and, finally 2D and 3D digital representation of built environment at building and district scale. Specifically, the method is used as a presumption to describe and discuss possible concrete contribution of the low-cost modelling approach in support to the critical interpretation of an architectural design context.
Automatic Detection and 3D Modeling of City Furniture Objects using LiDAR and Imagery Mobile Mapping Data
Authors: Doi Hiba , Yarroudh Anass , Jeddoub Imane , Hajji Rafika , Billen Roland
Published: December 2024

Abstract. City furniture objects hold valuable information about urban traffic and city dynamics, making their integration into 3D city models essential for enhancing these models. This study implements two methodologies for detecting, classifying, and positioning City Furniture objects, as well as one approach for their automatic 3D modeling. The first approach uses Mobile Mapping System (MMS) imagery with YOLO for object detection and classification, coupled with the Line of Bearing (LoB) method for extracting XYZ coordinates and height. A spatial operation was conducted to determine object orientation. The second approach employs camera- LiDAR fusion, integrating KPConv for semantic segmentation and connected components for instance segmentation. Classification is performed using two complementary approaches: using Fast Global Registration (FGR) on point clouds, for lamppost types, and image-based, projecting point cloud instances to classify traffic lights and signs. This fusion approach leverages image-based classification models and point cloud accuracy, achieving an RMSE of 0.32 against ground truth data. The point cloud approach shows promise but requires refinement to improve noise sensitivity in FGR. This study presents a comprehensive workflow from detection to Level of Detail 4 (LOD4) modeling, combining KPConv and multi-source data to enhance feature detection and classification for city furniture.
Pose Graph Data Fusion for Visual- and LiDAR-based Low-Cost Portable Mapping Systems
Authors: Elalailyi Ahmad , Trybała Paweł , Morelli Luca , Fassi Francesco , Remondino Fabio , Fregonese Luigi
Published: December 2024

Abstract. Traditional 3D surveying methods often fall short in complex spaces due to lack of mobility, time constraints and high risk. For this reason there is an actual demand for 3D data acquisition tools and methods, particularly suitable for complex and narrow environments, due to their capacity for efficiently capturing detailed and accurate spatial information, maybe also automatically. This study presents a novel approach for fusing 3D spatial data collected by two separate and independent mobile mapping systems: (1) ATOM-ANT3D and (2) MandEye. We propose an innovative fusion technique that combines visual and LiDAR data from asynchronous acquisitions, reducing the need for strict temporal and spatial synchronizations between the two systems. We compare the outputs of both systems before and after fusion, studying the individual limitations and highlighting the complementary benefits achieved by the proposed fusion framework. Results demonstrate improved accuracy of global alignment and spatial completeness of the final point clouds, proving the efficiency and flexibility of the proposed approach.
Semantic Edge Collapse: A Mesh Edge Collapse Algorithm preserving per Face Semantic Information
Authors: Grzeczkowicz Grégoire , Vallet Bruno
Published: December 2024

Abstract. Recent advancements in 3D data acquisition and processing have enabled high-fidelity urban modeling. Yet, production of structured 3D models in standards like CityGML remain complex, resource-intensive, and difficult to automate. This paper introduces a low-cost alternative that we call “structured mesh model” designed to cover many applications of structured 3D models at a lower cost. It relies on integrating geometric simplification with segmentation alignment to produce a lightweight, unified mesh representation. Using an edge-collapse algorithm, our method combines geometry from an existing mesh with labeled point cloud data to create a continuous mesh with edges aligned to segmentation boundaries, preserving both geometric fidelity and semantic clarity. The resulting structured mesh efficiently reduces memory requirements while maintaining accuracy, offering a practical solution for simulations and urban analyses that require structured 3D data.
Geometric Accuracy Investigations of Mobile Phone Devices in the Laboratory Using High-Precision Reference Bodies
Authors: Kersten Thomas P. , Sönksen Lennart , Przybilla Heinz-Jürgen
Published: December 2024

Abstract. The sensors in modern mobile phones (running either the Android or iOS operating system) have become increasingly sophisticated, to the extent that they can be used as measuring systems for a wide range of applications. On the one hand, GNSS (Global Navigation Satellite Systems) and IMU (Inertial Measurement Unit) provide precise positioning of smartphone sensors. On the other hand, the inbuilt cameras offer an increasingly high geometric image resolution. In order to investigate the potential of mobile phones for creating 3D models of small objects for the documentation of museum artefacts, the Laboratory for Photogrammetry & Laser Scanning of the HafenCity University Hamburg tested various smartphones for geometric accuracy under laboratory conditions. Four Galaxy S-series smartphones of Samsung (S21+, S22, S23, S24 Ultra) and two Apple iPhones (13 Pro and 15 Pro Max) were used for the tests. The image data sets of three distinct test objects, captured with disparate mobile devices, were processed in Agisoft Metashape into 3D models by triangle meshing and subsequently compared with highly accurate reference data from an ATOS 5 structure-light projection system. Some selected examples of image data sets recorded with the iPhone 15 Pro Max were also processed in the Polycam app. The results of the geometric accuracy analyses demonstrated that the image data captured by smartphone cameras could be processed into highly accurate three-dimensional models of the objects. The deviations from the reference data were only marginally inferior to those observed in the models generated from image data obtained from a SLR camera.
Development of a Photogrammetric 3D Measurement System for Small Objects Using Raspberry Pi Cameras as Low-Cost Sensors
Authors: Kersten Thomas P. , Timm Florian , Zobel Kay
Published: December 2024

Abstract. The digitisation of cultural objects in museums presents two distinct opportunities. Firstly, it allows for the preservation of the objects and collections themselves. Secondly, it enables their accessibility to the general public as 3D models in virtual exhibitions on the Internet. Cultural artefacts of significance can be recorded using laser scanners, 3D handheld scanners or photogrammetry employing the structure-from-motion method. In order to efficiently record and model the considerable number of culturally significant objects, automated recording systems and automated evaluation processes are required.This article presents a low-cost photogrammetric measurement system developed at HafenCity University Hamburg. The system comprises 24 Raspberry Pi cameras mounted on an aluminium frame, which enables the automatic and time-synchronous digitisation of small objects. To ascertain the veracity of the point clouds generated for the test objects, a comparison was conducted with the reference data obtained from the high-precision ATOS 5 structure light projection system. It was established that comprehensive coverage and a high degree of precision could only be achieved through the incorporation of a turntable and supplementary images of the objects, necessitated by minor rotations. The configuration of the photogrammetric low-cost measurement system and the requisite camera calibrations are delineated in the article.
Valorization of 3D/4D models of disappeared or ruined heritage sites in 3D modeling environments
Authors: Koehl Mathieu , Heitz Jade-Emmanuelle , Sommer Etienne , Fuchs Matthieu
Published: December 2024

Abstract. 3D is an increasingly common tool in many fields, including archaeology. It allows creating what no longer or almost no longer exists based on many types of information: archaeological excavation, plans, photographs, archaeological or historical hypothesis and many others. 3D is a tool of popularizing knowledge by making it more visual (photorealistic renderings of 3D restitutions and virtual reality), appreciable in a targeted context, and even by making it palpable (3D printing). By associating 3D representations/modelling tools and archaeology, we then move to 4D, integrating the notion of time and allowing people to travel through the centuries in a simple and playful way. This study shows the aspect of valuation of archaeological 3D data through 3D textured and animated restitutions, put in their current urban context. The use of 3D modelling and animation software makes it possible to give a digital and virtual appearance and consistency to historical and heritage sites. These models allow for the restoration of shapes and dimensions, and their placement within a historical context. To help users better project themselves, it is also interesting to place them in current urban contexts. But a model is not always enough on its own, we must find ways to make them visible, to make them understandable, and to promote them to neophyte audiences on the one hand, but also to make them accessible to expert audiences such as historians and archaeologists in the other hand.To illustrate the point, we used modelling projects on a Roman Castellum and a castle of the Renaissance period, both located in Horbourg-Wihr, Alsace, France. We also use models of Rhine castles carried out as part of an Interreg VI project – Châteaux Rhénans – Burgen am Oberrhein (Interreg, 2024).
Novel (re-configurable, wearable, light weight, ergonomic) low cost 3D mobile mapping system not only for extreme mapping applications
Authors: Bedkowski Janusz , Fitri Tresya Yuliana
Published: December 2024

Abstract. This paper presents a novel low cost 3D mapping system designed for fulfilling the gap between existing solutions and constantly growing end-users’ expectations. Firstly, the cost was reduced to minimum by providing an open-source, open-hardware projects. Secondly, the ergonomic, light weight, reconfigurable approach enables a wearable approach to maximize the mobility of the end user. It allows among other things the freedom to walk, crawl and climb. Those are necessities in extreme mobile mapping applications such as cave mapping, construction site survey, search and rescue missions and other unexplored yet applications such as mobile mapping with K9s (trained dogs equipped with 3D mobile mapping systems). The significance of this research is to provide cost effective mobile mapping solution for as large audience as it is possible. Thus, our software is constantly improved for covering more applications e.g. air + ground + underground mapping.
Urban point cloud classification with automated processing based on deep learning open-source solutions
Authors: La Guardia Marcello , Masiero Andrea , Bonora Valentina , Alessandrini Adriano
Published: December 2024

Abstract. The recent development of technology in the field of point cloud acquisition in urban environment led experts to consider new needs in terms of big data management in Geomatics. MMS (Mobile Mapping Systems) allows to acquire in real time large number of points in seconds using mobile vehicles. On the other hand, the development and spread of DL (Deep Learning) CNN (Convolutional Neural Networks) applications for classification of 3D geospatial data allows to start first experimentations in urban environments. Considering this scenario, this work presents a framework for the segmentation and classification of urban point cloud datasets based on the integration of some machine and deep learning tools, namely RANSAC, Euclidean Cluster Extraction, PointNet++ and Support Vector Machines (SVM) algorithms, developed with open-source technologies. The case of study considered in this experimentation regards an urban point cloud dataset obtained by an MMS acquisition along the roads of Sesto Fiorentino (FI). The integration of different algorithms based on Python libraries allowed to obtain fast processing performance, optimizing the results and offering a low-cost and fast solution for experts involved in 3D geospatial data extraction from point cloud MMS acquisitions.
The Role of Web Platforms in Balancing Sustainable Conservation and Development in Large Archaeological Site: the Naxos case study
Authors: Li Fangming , Spettu Franco , Achille Cristiana , Vassena Giorgio , Fassi Francesco
Published: December 2024

Abstract. Large archaeological areas or archaeological parks located within urbanized areas suffer more than other sites from anthropic pressure (urbanization and tourism), to which are added all the problems related to their conservation, safeguarding, fruition, management, maintenance, etc. Effective management strategies are essential. The use of Web Platforms in the management of 3D data is emerging as an effective solution for balancing conservation and development within large archaeological sites. This paper presents a case study of the Naxos Archaeological Park, Sicily, Italy. This case study highlights the role of advanced survey techniques, such as Mobile Mapping Systems and UAV-based photogrammetry, in generating extensive and comprehensive 3D datasets. It explores the possible contribution given by commercial web platforms for 3D data management in supporting design and development projects with reality capture data. Web platforms offer significant advantages by providing a shared environment for visualizing, interacting with, and processing large datasets. These platforms enable real-time collaboration among professionals with varying levels of expertise, fostering data sharing and reducing the need for local computing resources. This article provides a comparison methodology by testing and evaluating four commercial platforms: FlyVast, ATIS.cloud, Flai, and Cintoo, testing their functionalities and performances. It is then presented the adopted platform, Cintoo, and explained the reasons of the choice and its suitability for the project goal. Finally, it is provided an overview of the principal reasons that support the adoption of web platforms for sharing and collaboration supported by accurate 3D data, focusing on the potential cost reduction and efficiency.
A handheld stereo vision and LiDAR system for outdoor dense RGB-D mapping using depth map completion based on learned priors
Authors: Bleier Michael , Yuan Yijun , Nüchter Andreas
Published: December 2024

Abstract. This paper proposes a handheld mapping system consisting of a stereo camera setup combined with low-cost automotive LiDAR. The prototype system is applicable to various types of mobile monocular, stereo vision and LiDAR data collection and processing. Capturing dense RGB-D data outdoors with low-cost sensors is challenging, especially when low latency is required. Readily available commercial RGB-D sensors are typically limited to a range of less than 10m, which is too small to capture large outdoor structures. Currently available low-cost automotive LiDAR scanners feature a suitable range but provide only sparse data. To enable low-latency dense RGB-D scans we augment the sparse LiDAR data with the RGB data stream based on learned models. We apply monocular depth estimation based on a single image and apply scale correction based on learned priors and sparse automotive LiDAR scans. Using the laser scan data, accurate metric information is incorporated directly into the scale estimation stage. For validation, the learning-based depth map completion is compared to traditional LiDAR mapping using scan matching on an outdoor data set acquired with the proposed handheld. While the model-based regression of the sparse LiDAR data produces significantly less accurate results in our experiments, it is able to compute dense RGB-D data from a single sparse 3D scan and monocular RGB image with low latency.
Visual localization in urban environments employing 3D city models
Authors: Loeper Yasmin , Gerke Markus , Alamouri Ahmed , Kern Alexander , Bajauri Mohammad Shafi , Fanta-Jende Phillipp
Published: December 2024

Abstract. Reliable pose information is essential for many applications, such as for navigation or surveying tasks. Though GNSS is a well-established technique to retrieve that information, it often fails in urban environments due to signal occlusion or multi-path effects. In addition, GNSS might be subject to jamming or spoofing, which requires an alternative, complementary positioning method. We introduce a visual localization method which employs building models according to the CityGML standard. In contrast to the most commonly used sources for scene representation in visual localization, such as structure-from-motion (SfM) points clouds, CityGML models are already freely available for many cites worldwide, do not require a large amount of memory and the scene representation database does not have to be generated from images. Yet, 3D models are rarely used because they usually lack properties such as texture or only contain general geometric structures. Our approach utilizes the boundary representation (BREP) of the CityGML models in Level of Detail (LOD) 2 and the geometry of the query image scene from extracted straight line segments. We investigate how we can use an energy function to determine the quality of the correspondence between the line segments of the query image and the projected line segments of the CityGML model based on a specific camera pose. This is then optimized to estimate the camera pose of the query image. We show that a rough estimation of the camera pose is possible purely via the distribution of the line segments and without prior calculation of features and their descriptors. Furthermore, many possibilities and approaches for improvements remain open. However, if these approaches are taken into account, we expect CityGML models to be a promising option for scene representation in visual localization.
Temporal and thermal visualization by fusion of thermal images and 3D mesh
Authors: Marie Emile , Lecomte Vincent , Landes Tania , Macher Hélène , Delasse Chaimaa
Published: December 2024

Abstract. In the context of the TIR4sTREEt (Thermal InfraRed for Street Trees) project, a huge measurement campaign has been organized. In order to study the interactions between trees and buildings regarding the surface temperature, thermal infrared (TIR) data have been acquired during a long period and from different points of view. Over a period of 17 days, the camera under study has been fixed on a mast and later, for specific days, on a low-cost mobile system. Several thousand images have been acquired. This paper introduces a methodology for creating a temporal thermal 3D model through the fusion of 2D thermal infrared images with 3D mesh models. The purpose of this fusion is to produce an efficient solution for visualization and analysis of detailed spatial and temporal variables like surface temperature. Therefore the temporal thermal 3D model is a faithful representation of reality and serves as a kind of reference model. Subsequently, validation of microclimatic simulation will be achieved by comparing the simulated surface temperature with the thermal reference model. First results show that the fusion is reliable and that this visualization solution is a robust and precious tool for facilitating the validation of microclimate simulation tools.
Systematic synthesis of the notion of scale levels and digital representation in the application of 3D geospatial technology for virtual forests
Authors: Murtiyoso Arnadi , Overney Normand , Suwardhi Deni
Published: December 2024

Abstract. In recent years, novel 3D reconstruction methods have been developed to enhance traditional image-based point cloud generation techniques, leading, among other things, to the emergence of the concept of virtual forests. However, within the forestry domain, this concept is still somewhat ambiguous and may carry different meanings depending on the context of its implementation. In this paper, we identify the need to consolidate existing notions of virtual forests and aim to present a unified definition from a geomatics perspective. To this end, we introduce two concepts: a sensor-focused Level of Scale (LoS) and a data-focused Level of Detail (LoD). For the latter, which draws inspiration from existing definitions in CityGML, an additional data format dimension has been incorporated. A numerical analysis was conducted to highlight the importance of data representation and scale. While the results in this paper are not intended to establish a standard—achieving such would require much greater effort in the future—they hopefully provide a foundation for establishing a standard in 3D vegetation mapping and representation that can be practically applied within the forestry domain.
Photogrammetric digitisation of a bronze head – Surveying inside and outside for thickness measurement
Authors: Perfetti Luca , Vassena Giorgio P. M. , Morandini Francesca , Fassi Francesco
Published: December 2024

Abstract. This paper presents an effective and low-cost approach for the digitisation of a Roman bronze head exhibited at the Santa Giulia Museum in Brescia using close-range photogrammetry. The artefact posed significant challenges due to its dark, reflective exterior surface and its hollow interior, accessible only through an 8 cm neck opening. The digitisation had two main objectives: (1) to support restoration activities by accurately measuring the thickness of the bronze cast, and (2) to enhance the artefact's dissemination by producing a web-optimised digital replica.Special emphasis was placed on the survey of the internal surface, achieved using a custom-designed camera probe equipped with a 5 megapixels RGB global shutter camera and LED ring lights. With this setup it was possible to effectively captured the inner geometry using low-cost tools. The internal dataset was connected with the exterior dataset, acquired by a regular DSLR and turntable setup supported by cross-polarization.The processing workflow involved generating a high-resolution mesh model (~80M faces) and computing the cast's thickness using two methods: the M3C2 algorithm and the Shrinking Sphere algorithm, which provided consistent results. Additionally, an optimised low-poly version of the model was created for web sharing. This study highlights the potential of low-cost tailored photogrammetric solutions/workflows to address the complexities of digitising intricate museum artefacts.
Mobile Mapping System for Point Cloud Acquisition in a Forest Environment with an Action Camera
Authors: Pinhal Andre , Lázaro Clara , Gonçalves Jose A.
Published: December 2024

Abstract. This paper presents a methodology for generating georeferenced point clouds using a GoPro camera that incorporates a GNSS navigation receiver. The camera is mounted on a helmet worn by an operator, who simply needs to activate the camera and traverse the area of interest in overlapping strips, capturing 4K video at 60 fps. Frames are extracted from the video at an appropriate rate and processed using a structure-from-motion algorithm. This approach refines the camera's trajectory and produces a georeferenced dense point cloud. The georeferencing of the point cloud relies on the camera's GNSS-derived projection centres, which can be interpolated for each extracted frame. However, in forested environments, the reduced positional accuracy of the GNSS can introduce significant errors in the scale and orientation, limiting the accuracy of extracted dimensional parameters. To address these issues, the system incorporates a simple calibration strategy: a vertical pole of known length is placed in the surveyed area to provide a reference for scale and orientation correction. Once calibrated, the point cloud is processed to generate a canopy height model. Additionally, the point cloud can be segmented horizontally at 1.3 meters above ground level to extract individual tree rings, allowing measurements such as the diameter at breast height. The methodology is evaluated through various tests, and its accuracy is thoroughly analysed.
Orthophoto generation with gaussian splatting: mitigating reflective surface artifacts in imagery from low-cost sensors
Authors: Previtali Mattia , Barazzetti Luigi , Roncoroni Fabio
Published: December 2024

Abstract. Orthophotos offer a distortion-free and high-resolution depiction of architectural and mechanical elements, serving critical functions in reverse engineering, defect detection, and condition assessment. Recent advancements in low-cost sensors have made them increasingly popular for orthophoto generation due to their affordability and ease of use. However, reflective surfaces pose significant challenges in traditional photogrammetric workflows, leading to inaccuracies in feature matching and 3D reconstruction. This paper investigates the integration of Gaussian splatting into the orthophoto generation process as a solution to address these challenges. Gaussian splatting is particularly effective in handling irregular and sparse data, making it suitable for scenarios involving reflective surfaces. In this study, datasets containing reflective surfaces, such as metallic elements and urban environments, were used to evaluate the performance of Gaussian splatting compared to traditional photogrammetry workflow. Our findings indicate that Gaussian splatting effectively reduces artifacts caused by reflections while preserving geometric accuracy and critical detail in non-reflective areas. Additionally, this approach proves to be computationally efficient, making it ideal for low-cost sensor applications. Although limitations remain, such as smoothing effects that may reduce fine detail, the proposed methodology shows promise for improving orthophoto quality in complex environments.
City2Twin: an open urban digital twin from data integration to visualization and analysis
Authors: Rafamatanantsoa Benirina Parfait , Jeddoub Imane , Yarroudh Anass , Hajji Rafika , Billen Roland
Published: December 2024

Abstract. Urban Digital Twins have gained significant interest in the urban and geospatial fields, enabling interactive visualization and advanced analysis of cities across various domains. However, current implementation approaches are heterogeneous in terms of data and approaches. Furthermore, most implementations are based on specific needs. This project develops a comprehensive framework for Urban Digital Twins, focusing on data integration, storage, visualization, and analysis, all using open-source tools. Our approach integrates various data types, including 3D city models, dynamic air quality data, and external data imported from the client side, such as vector data, 3D city models, and point clouds. We conducted a series of experiments for each step and tackled various challenges. Many configurations are applied before integrating the 3D models, including ground reprojection, geometry type conversion, and format conversion. For the data storage and management, we performed several comparative tests between 3DCityDB and CJDB, which led us to choose CJDB for its simplicity and lightweight nature. A client interface built with the Giro3D framework (based on Three.js) connects directly to the 3D model database via a Flask server. Dynamic data is retrieved via external APIs and stored in a separate database following the SensorThings API standard, allowing time-series analysis. Our framework is standardized and designed based on open-source software, emphasizing the openness, transferability, reusability, and maintainability of Urban Digital Twin. The City2Twin project proposes significant improvements in data analysis, highlighting the importance of having a separate database for storing static and dynamic data, as well as the importance of direct interaction between the client interface and the 3D database for data updates and management. To the best of our knowledge, this work is the first Urban Digital Twin initiative that relies on the CityJSON format, which defines itself as more «developer-friendly».
The potential of close-range photogrammetry in evaluating the severity of road surface deformations
Authors: Cățeanu Mihnea , Miclescu Sorina Mihaela
Published: December 2024

Abstract. This study evaluates the use of close-range photogrammetry, specifically the Structure-from-Motion (SfM) technique, for assessing road surface deformations. Utilizing a low-cost GoPro Hero 10 action camera, 3D models were created for a 45-meter degraded road section, in order to calculate the volume of road surface defects. Three image collection strategies were compared: only near-nadiral imagery, and near-nadiral plus one or two tracks of oblique images, respectively. Reference data was obtained from Terrestrial Laser Scanning (TLS), in order to assess the level of accuracy for deformation volumes calculated from SfM data. The photogrammetric models, scaled and georeferenced using Ground Control Points (GCPs), allowed for an accurate assessment of deformation volumes (RMSEs of 0.16–0.18 dm3 for the 32 potholes identified in the studied sector) and road surface reconstruction (with average displacements between SfM and TLS point clouds of 0.007–0.13 meters). Deformation volumes extracted from SfM 3D models of the road surface are highly correlated with reference volumes from TLS data, regardless of image collection strategy. However, using at least one track of oblique image collection leads to an accuracy improvement. Our findings confirm that close-range photogrammetry with a low-cost, easily available action camera, is an effective, cost-effective alternative for monitoring road deformations, offering high-resolution 3D models suitable for precise volume and depth measurements. However, the technique does have some limitations, mainly related to the need of GCPs in order to scale the 3D models and the significant amount of manual labour necessary in order to calculate the volume of road surface defects.
3D representation of Architectural Heritage: a comparative analysis of NeRF, Gaussian Splatting, and SfM-MVS reconstructions using low-cost sensors
Authors: Clini Paolo , Nespeca Romina , Angeloni Renato , Coppetta Laura
Published: December 2024

Abstract. This study evaluates the performance of three image-based 3D reconstruction methods—Structure-from-Motion with Multi-View Stereo (SfM-MVS), Neural Radiance Fields (NeRF), and Gaussian Splatting (GS)—for documenting Architectural Heritage (AH). Data acquisition was conducted using low-cost sensors: a drone to capture the stone portal of the external façade and a 360° camera to document the interior spaces. NeRF and GS significantly outperformed SfM-MVS in processing time, with NeRF excelling in reconstruction completeness. However, GS faced challenges with point number control, and NeRF reconstructions exhibited artifacts and noise, particularly on flat surfaces. Accuracy assessments, using TLS point clouds as a benchmark, revealed that SfM-MVS provided the highest geometric precision for the external façade, despite minor gaps in reconstruction. In contrast, NeRF and GS fell short of the accuracy required for precise geometric documentation, with NeRF exhibiting prominent artifacts in flat or poorly detailed regions. Interior reconstructions were further limited by the higher Ground Sampling Distance (GSD) caused by the technical constraints of the 360° camera and the increased capture distance for elevated areas. In conclusion, we can affirm that while NeRF and GS demonstrate strong potential for visualization due to their rendering quality and efficiency, SfM-MVS remains the most reliable method for achieving accurate geometric documentation of AH.
PENGARUH LATIHAN ROM DENGAN BOLA KARET TERHADAP KEKUATAN OTOT GENGGAM PASIEN STROKE NON HEMORAGIK
Authors: Astriani Ni Made Dwi Yunica , Sintya Dewi Ni Putu Indah
Published: December 2024

Pendahuluan: Stroke non hemoragik adalah penyakit yang disebabkan oleh oklusi pembuluh darah yang menyababkan terhentinya pasokan glukosa dan oksigen ke otak. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh latihan ROM dengan bola karet terhadap kekuatan otot genggam pasien stroke non hemoragik di Rumah Sakit Kertha Usada. Metode: Jenis penelitian ini adalah pre-eksperimental One Group PreTest-PostTest dengan uji Paired T-test yang dilaksanakan di Rumah Sakit Kertha Usada. Pengumpulan data menggunakan alat pengukur kekuatan otot genggam yaitu Hand Grip Dynamometer dan  lembar observasi dengan teknik purposive sampling dengan jumlah sampel 114 orang. Hasil: Dari hasil penelitian didapatkan rata-rata nilai kekuatan otot genggam pasien stroke non hemoragik sebelum diberikan latihan ROM dengan bola karet yaitu 8,09. Dan setelah diberikan latihan ROM dengan bola karet selama 5 sampai 10 menit, rata-rata nilai kekuatan otot genggam pasien stroke non hemoragik mengalami peningkatan yaitu 10,96. Berdasarkan hasil dari uji paired t-test menunjukkan bahwa hasil sig (2-tailed) atau nilai r = 0,000. Simpulan: Nilai ini menunjukkan adanya perbedaan yang bermakna antara nilai kekuatan otot genggam sebelum diberikan latihan ROM dengan bola karet dan setelah diberikan latihan ROM dengan bola karet selama 5 sampai 10 menit.
UI/UX Design of Ruang Kajian Application Using Design Thinking Method
Authors: Jannah Arum Kemangi Anisya Khanza Afiatul , Efrat Najaf Abdul Rezha , Permatasari Reisa
Published: December 2024

Islamic Studies, or Dirasah Islamiyah, explores various aspects of Islamic teachings. In Indonesia, where Islam is the majority religion, many organizations actively promote da’wah through study sessions, sholawat, and dhikr. However, the Better Youth Foundation lacks a dedicated platform to support its Better Youth Academy programs, which involve structured Islamic studies. This highlights the need for an efficient and accessible platform to facilitate learning and positive activities. This study develops the Ruang Kajian mobile application using the Design Thinking method, which consists of five stages: Empathize, Define, Ideate, Prototype, and Testing. The approach ensures a user-centered design, focusing on usability testing based on ISO 9241-11 standards and evaluating Effectiveness, Efficiency, and Satisfaction. The proposed design allows users to register and participate in Better Youth Academy sessions efficiently while accessing various structured study materials. Testing results from five users showed Effectiveness at 90%, Efficiency at 92.33%, and Satisfaction at 83.40%, indicating the design’s high usability. This research demonstrates that Design Thinking can produce user-friendly and efficient UI/UX designs that meet user needs and preferences. It offers practical guidance for developers in creating intuitive interfaces while enhancing the user experience when accessing Ruang Kajian.
Prediction of Plantation Crop Production Based on Environment Using Linear Regression and Single Exponential Smoothing Methods
Authors: Sari Marlina , Abdullah Dahlan , Maryana Maryana
Published: December 2024

Indonesia, as an agrarian country, heavily relies on the plantation sector as a key driver of its national economy. One significant region contributing to this sector is West Aceh Regency, which consists of 12 districts and is renowned for cultivating five main plantation commodities: oil palm, coconut, rubber, coffee, and cocoa. This research aims to develop a plantation crop production prediction system to support efficient resource planning and management in this sector. The system employs Linear Regression and Single Exponential Smoothing (SES) with a smoothing constant (alpha) of 0.2. The system's primary objective is to analyze historical production data at the district level and generate reliable predictions of future production trends. Linear Regression models the relationship between time (independent variable) and production volume (dependent variable), effectively capturing long-term trends. SES complements this by addressing short-term fluctuations, applying a weighted average where recent data carries greater importance. Prediction accuracy is evaluated using the Mean Absolute Percentage Error (MAPE). Findings reveal that Linear Regression consistently achieves high accuracy, with MAPE values below 20% in most districts, particularly for coffee and cocoa. Conversely, SES demonstrates varying results, performing well in some cases, such as coconut production in Arongan Lambalek (MAPE 20%), but poorly in others, such as oil palm in Bubon (MAPE = 91.06%). In comparison, Linear Regression in Bubon yields a more moderate MAPE of 35.16%. The system is integrated into a user-friendly, web-based platform, accessible to stakeholders like farmers, policymakers, and government agencies. By offering actionable insights into production trends, it aids in mitigating risks, optimizing resource allocation, and enhancing plantation management efficiency. This research underscores the importance of predictive analytics in agricultural planning, with potential applications in other agrarian regions.
Vaguebooking as a Mediator between the Relationship of Personality Characteristics and Mental Health among Social Media Users
Authors: Sikandar Iqra , Javed Hafiza Arooba , Rasheed Wajeeha , Ahsan Sehrish
Published: December 2024

This study delves into the shadowy world of vaguebooking and its influence on mental well- being. It investigates how personality characteristics interact with this social media behavior to affect a user's mental health. The researchers employed a quantitative approach, utilizing cross-sectional study design to uncover the relationships between these factors. This study used a purposive sampling technique and included 320 participants. The sample size was determined using an a priori sample size calculator. Data were obtained directly from social media platforms. Participants filled out three self-report measures: vaguebooking (Berryman, 2019), ten-item personality tests (Gosling, Rentfrow, and Swann, 2003), and a mental health inventory (Veit & Ware, 1983). Personality traits, vaguebooking, and mental health are inextricably linked, as revealed by the analysis, which employed sophisticated statistical software. The investigation identified substantial correlations between personality traits, mental health outcomes, and vaguebooking behaviors among social media users. The significance of inherent characteristics in shaping online activities and psychological well-being was underscored by the strong association between personality traits and both vaguebooking and mental health. Research shows vaguebooking mediates personality traits and mental health. Vaguebooking is also linked to poorer mental health. Psychological health and vaguebooking personality traits were statistically better for women than men. These findings highlight the complex role of social media habits in mediating psychological effects, emphasizing the importance of taking gender dynamics into account and addressing online communication patterns in mental health treatments. They also emphasize the importance of researching cultural influences on vaguebooking behavior and developing strategies to mitigate the negative consequences. By encouraging healthier online interactions, we can foster a more positive and supportive social media community.