Presentación realizada como parte del Programa VDC 2020 del Stanford Center for Professional Development (Stanford University) en colaboración con la Universidad de Lima.

Diseñar un proyecto en el cual la arquitectura pueda ser una herramienta que permita el desarrollo y recuperación del menor en estado de abandono, además a través de la diversificación espacial que tendrá el proyecto se busca promover la interacción social de los menores con personas ajenas al albergue, esto a través de una cuna-jardín y programas de talleres para el uso de la comunidad.

Tipo de datos: 1 archivo de texto (formato .xlsx) y 1214 archivos de imagen (formato .jpg) obtenidos en noviembre de 2022.

Research training stands out as a means to develop generic competencies, potentiate lifelong learning (LL), and integrate initiatives for compliance with the 17 Sustainable Development Goals (SDGs), contributing to the development of a resilient society. Therefore, the constant promotion of a research culture within higher education institutions is an essential task for reducing the gap between scientific productivity and industry challenges and proposing solutions to real-life challenges. One of the main stages involved in any research process is the proposition of a methodological design: a detailed plan conceived and later developed to answer the research questions. Nevertheless, within the engineering context, even though a wide range of methodological designs are considered, these are not always explicitly stated in research papers, so at the undergraduate level there is an absence ...

La presente tesis tiene como objetivo desarrollar los procesos de Inicio y Planificación del proyecto “Recrecimiento de la presa de relaves de la Unidad Minera Yaku”. Se desarrollará según los lineamientos establecidos por la Universidad ESAN de Perú y la Universidad Ramon Llull - La Salle de España, fundamentados por las 10 áreas de conocimientos del PMBOK 6ta, realizando un análisis del sector minero y la empresa contratista para comprender cómo se integra el proyecto en la organización y en la industria minera. El proyecto es la construcción del recrecimiento de una presa de relaves en la Minera Yaku, en la región de Puno a más de 4,000 msnm, debido a que se tiene proyectado la explotación de dicha mina hasta el 2033. Para la empresa Contratistas Inti S.A.C., el implementar este proyecto implica la oportunidad de crecimiento, incrementar su prestigio a nivel nacional ...

Artículo presentado en el International Conference on Artificial Intelligence and Energy System (ICAIES-2021) in Virtual Mode, llevada a cabo el 12 y 13 de junio del 2021. Los datos de investigación están disponibles en la siguiente dirección https://doi.org/10.26439/ulima.datasets.13359

A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset consists of 1046 images selected from video footage by a frame extraction algorithm and txt files containing the objects' class and coordinates information. These data can be used to develop computer vision techniques in the engineering and construction fields.

The introduction of artificial intelligence methods and techniques in the construction industry has fostered innovation and constant improvement in the automation of monitoring and control processes at construction sites, although there are areas where more studies still need to be conducted. This paper proposes a method to determine the criticality of cracks in concrete samples. The proposed method uses a previously trained YOLOv4 neural network to identify concrete cracks. Then, the region of interest, determined by the bounding box resulting from the neural network model classification, is extracted. Finally, the extracted image is converted to negative grayscale to quantify the number of white pixels above a certain threshold, automatically allowing the system to characterize the fracture’s extent and criticality. The classification module reached a veracity between 98.36% and 99.7...

This data paper presents a manually labeled dataset of 1,214 images of personnel captured from a construction site using four static cameras. There are two classes, standing and people leaning. The classification is stored in accompanying text files and bounding box coordinates for every image. The compilation was done to support the developing and validation computer vision and AI models for construction site monitoring. This dataset addresses the challenges of finding personnel in different poses within complex construction environments. The resource will enhance construction site safety monitoring and personnel activity analysis by allowing more precise neural network training. The dataset is stored in a public repository, making it openly accessible for academic and industrial purposes regarding computer vision, civil engineering, and workplace safety.

The use of UAV (unmanned aerial vehicle) platforms and photogrammetry in bathymetric surveys has been established as a technological advancement that allows these activities to be conducted safely, more affordably, and at higher accuracy levels. This study evaluates the error levels obtained in photogrammetric UAV flights, with measurements obtained in surveys carried out in a controlled water body (pool) at different depths. We assessed the relationship between turbidity and luminosity factors and how this might affect the calculation of bathymetric survey errors using photogrammetry at different shallow-water depths. The results revealed that the highest luminosity generated the lowest error up to a depth of 0.97 m. Furthermore, after assessing the variations in turbidity, the following two situations were observed: (1) at shallower depths (not exceeding 0.49 m), increased turbidity le...

The combination of light detection and ranging (LiDAR) sensors and unmanned aerial vehicle (UAV) platforms have garnered considerable interest in recent years because of the wide range of applications performed through the generation of point clouds, such as surveying, building layouts and infrastructure inspection. The attributed benefits include a shorter execution time and higher accuracy when surveying and georeferencing infrastructure and building projects. This study seeks to develop, integrate and use a LiDAR sensor system implemented in a UAV to collect topography data and propose a procedure for obtaining a georeferenced point cloud that can be configured according to the user’s needs. A structure was designed and built to mount the LiDAR system components to the UAV. Survey tests were performed to determine the system’s accuracy. An open-source ROS package was used to acqui...