This document describes TcpScancyr software for generating tunnel cross-sections from 3D scanned point cloud data. The software allows users to import point cloud data, define the tunnel template and alignment, calculate and edit cross-sections, and generate reports on areas, volumes, alignment deviations and other metrics. Key features include point filtering and selection tools, visualization of cross-sections and the point cloud, and exporting of drawings, videos and data.
Cartesian Graphs and Its Applications PPTEvitaFranco1
Cartesian graphs use a system of x and y axes that intersect at the origin to plot points and graph lines. It has been used since René Descartes in the 1600s and has many applications including describing the position of objects, navigation systems, tracking locations of airplanes and robots, geographic coordinate systems, economic trend analysis, and tracking locations in video games. It allows for both positive and negative values on the axes and divides the plane into four quadrants.
The document discusses algorithms for computing convex hulls, including Graham's scan and quickhull algorithms. Graham's scan finds the convex hull of a set of points by maintaining a stack of candidate points and removing points that are not vertices of the convex hull. It runs in O(n log n) time. Quickhull is a divide and conquer algorithm that recursively partitions points and computes farthest points to partition the space until the convex hull is completed. Both algorithms are efficient ways to compute convex hulls in two dimensions.
This application, installed in a mobile device, provides users with the most common options for setting out tunnels and gathering data from them with either motorized or conventional total stations.
This software, working under AutoCAD, BricsCAD and ZWCAD, allows to process data gathered from total stations running TcpTunnel or other programs. Every project is compound of an horizontal and vertical alignment, superelevation, templates and point files, supporting different formats.
EnviroInsite training workshop - Creating cross-sectionsBruce Jacobs
This document provides an overview of cross-sections and 3D modeling in EnviroInsite. It describes how cross-sections can be defined using polylines and can include various data. It also explains how the ground and bottom surfaces of cross-sections are interpolated. The document contrasts 3D and plan views, describing how objects are rendered differently. It outlines the controls for 3D view rotation and rendering modes. Finally, it briefly introduces the lighting model used for 3D rendering.
This document provides an overview and summary of a presentation on Simultaneous Localization and Mapping (SLAM). It introduces the speaker, Dong-Won Shin, and his background and research in SLAM. The contents of the presentation are then outlined, including an introduction to SLAM, traditional SLAM approaches like Extended Kalman Filter SLAM and FastSLAM, efforts towards large-scale mapping like graph-based SLAM and loop closure detection, modern state-of-the-art systems like ORB SLAM, KinectFusion and Lidar SLAM, and applications of SLAM. Key algorithms in visual odometry, backend optimization, and loop closure detection are also summarized.
This document describes TcpScancyr software for generating tunnel cross-sections from 3D scanned point cloud data. The software allows users to import point cloud data, define the tunnel template and alignment, calculate and edit cross-sections, and generate reports on areas, volumes, alignment deviations and other metrics. Key features include point filtering and selection tools, visualization of cross-sections and the point cloud, and exporting of drawings, videos and data.
Cartesian Graphs and Its Applications PPTEvitaFranco1
Cartesian graphs use a system of x and y axes that intersect at the origin to plot points and graph lines. It has been used since René Descartes in the 1600s and has many applications including describing the position of objects, navigation systems, tracking locations of airplanes and robots, geographic coordinate systems, economic trend analysis, and tracking locations in video games. It allows for both positive and negative values on the axes and divides the plane into four quadrants.
The document discusses algorithms for computing convex hulls, including Graham's scan and quickhull algorithms. Graham's scan finds the convex hull of a set of points by maintaining a stack of candidate points and removing points that are not vertices of the convex hull. It runs in O(n log n) time. Quickhull is a divide and conquer algorithm that recursively partitions points and computes farthest points to partition the space until the convex hull is completed. Both algorithms are efficient ways to compute convex hulls in two dimensions.
This application, installed in a mobile device, provides users with the most common options for setting out tunnels and gathering data from them with either motorized or conventional total stations.
This software, working under AutoCAD, BricsCAD and ZWCAD, allows to process data gathered from total stations running TcpTunnel or other programs. Every project is compound of an horizontal and vertical alignment, superelevation, templates and point files, supporting different formats.
EnviroInsite training workshop - Creating cross-sectionsBruce Jacobs
This document provides an overview of cross-sections and 3D modeling in EnviroInsite. It describes how cross-sections can be defined using polylines and can include various data. It also explains how the ground and bottom surfaces of cross-sections are interpolated. The document contrasts 3D and plan views, describing how objects are rendered differently. It outlines the controls for 3D view rotation and rendering modes. Finally, it briefly introduces the lighting model used for 3D rendering.
This document provides an overview and summary of a presentation on Simultaneous Localization and Mapping (SLAM). It introduces the speaker, Dong-Won Shin, and his background and research in SLAM. The contents of the presentation are then outlined, including an introduction to SLAM, traditional SLAM approaches like Extended Kalman Filter SLAM and FastSLAM, efforts towards large-scale mapping like graph-based SLAM and loop closure detection, modern state-of-the-art systems like ORB SLAM, KinectFusion and Lidar SLAM, and applications of SLAM. Key algorithms in visual odometry, backend optimization, and loop closure detection are also summarized.
Algorithmic Techniques for Parametric Model RecoveryCurvSurf
A complete description of algorithmic techniques for automatic feature extraction from point cloud. The orthogonal distance fitting, an art of maximum liklihood estimation, plays the main role. Differential geometry determines the type of object surface.
Slides of the presentation of the paper Document Representation Refinement for Precise Region Description by Christian Clausner, Stefan Pletschacher and Apostolos Antonacopoulos. #digidays
Traffic Demand Prediction Based Dynamic Transition Convolutional Neural Networkivaderivader
The document proposes a traffic demand prediction model based on a dynamic transition convolutional neural network. It defines a transition network using density-peak based clustering to identify virtual stations. A dynamic graph convolutional gated recurrent unit is developed to model the station-to-station transitions over time. Meteorological data is also incorporated as external features to improve the prediction performance. The model is evaluated on bike and taxi demand data from New York City and shows improved results over various baseline models.
Unmanned aerial vehicles UAVs for the Construction IndustrySue McKinney
The potential for using UAVs within the construction and civil engineering industry is significant yet their use is currently relatively limited. The main reason behind this is a lack of awareness of their potential and the range of benefits that they can bring, even though, right through from planning to final construction, nearly every stage of the engineering process can benefit from the use of a UAV.
This document discusses different methods of data representation in GIS, including data collection, input, and output devices. It covers three main types of data input: sample ground data, topographic maps, and satellite digital data. Common input devices include digitizers, scanners, keyboards, and disk drives, while common output devices are plotters, printers, visual display units, and tape drives. The document then focuses on different data input methods like keyboard entry, digitizing, and scanning, outlining their processes, advantages, and limitations.
Traversing Notes |surveying II | Sudip khadka Sudip khadka
Traverse is a method in the field of surveying to establish control networks. It is also used in geodesy. Traverse networks involve placing survey stations along a line or path of travel, and then using the previously surveyed points as a base for observing the next point
The document describes the Marching Cubes algorithm, which was developed in 1987 to construct 3D models from medical imaging data like CT scans. It works by dividing the volume into cubes and using the pixel values at the cube vertices to determine triangles that approximate the surface. There are 256 possible cases but they can be reduced to 14 basic patterns. The algorithm calculates surface normals to improve image quality and has been used to generate 3D models from various medical imaging modalities.
The document discusses coordinate measuring machines (CMMs). A CMM consists of a probe that can be positioned accurately in three dimensions relative to a workpiece surface. The probe's coordinates are recorded to obtain dimensional data about the workpiece's geometry. Different CMM structures are described, including cantilever, moving bridge, fixed bridge, horizontal arm, column, and gantry designs. CMMs offer advantages like increased inspection speed and accuracy compared to manual inspection. They find applications in industries like automotive, aerospace, electronics, and machining for quality control and inspection of parts and tools.
X-rays were discovered in 1895 by the German physicist Wilhelm Conrad Röntgen,
who earned the Nobel Prize in Physics in 1901. Although their potential applications
in medical imaging diagnosis were clear from the beginning, the implementation of
the first X-ray computed tomography system was made in 1972 by Godfrey Newbold
Hounsfield (Nobel prize winner in 1979 for Physiology and Medicine), who constructed
the prototype of the first medical CT scanner and is considered the father of computed
tomography. CT was introduced into clinical practice into 1971 with a scan of a cystic
frontal lobe tumor on a patient at Atkinson Morley Hospital in Wimbledon (United
Kingdom). After this, CT was immediately welcomed by the medical community and
has often been referred to as the most important invention in radiological diagnosis, since
the discovery of X-rays [1].
The first applications of CT in an industrial context is traced back to the first 1980´s, in the
field of non destructive testing, where small number of slices of the object were visually
inspected. 3D quantitative industrial CT applications appeared in the later 1990s, with
simple volume and distance analysis [2]. Today, thanks to relevant improvements in both
hardware and software, CT has become a powerful and widely used tool among non
destructive techniques, capable of inspecting external and internal structures (without
destroying them) in many industrial applications. Development of more and more stable
X-ray sources and better detectors led to design of more complex CT system, providing
accurate geometrical information with micrometer accuracy. CT is widely used for
geometrical characterization of test objects, material composition determination, density
variation inspection etc. In a relative short time, CT is capable to produce a complete
three-dimensional model and tolerances of the scanned machined parts can be verified.
Because of the growing interest on precision in production engineering and an increasing
demand for quality control and assurance, CT is leading the field of manufacturing
and coordinate metrology. With respect to traditional techniques, CT systems have indisputable advantages: internal and external geometry can be acquired without
destroying the part, with a density of information much higher than common tactile and
optical coordinate measuring. A key parameter for reliability of the measurement process
is the establishment of measuring uncertainty. Since there are many influence parameters
in CT, uncertainty contributors in CT and standards dealing with quantification of CT
have not been completely established yet. The assessment of the uncertainty budget
becomes a challenge for all researchers
Vertical Mapper is software that transforms point data into continuous grid surfaces that can be analyzed and visualized. It allows users to generate grid surfaces through interpolation of point data, modify grid colors and legends, generate contours, render grids in 3D, query multiple grid layers, and edit grids. Key industries that benefit include telecommunications for wireless network planning, public sector for flood risk analysis, insurance for risk analysis, and retail for customer analysis. The presentation provides examples of how Vertical Mapper has been used in these industries and highlights its capabilities for grid creation, visualization, analysis, and custom application development.
This document provides an overview of a workshop on using HEC-GeoRAS to link GIS and hydraulic modeling software. The workshop is aimed at engineers, GIS professionals, and planners. It introduces HEC-GeoRAS and HEC-RAS software, the process of generating spatial data in HEC-GeoRAS from GIS layers, importing it into HEC-RAS, and exporting modeling results for mapping floodplains in GIS. Key topics covered include developing stream centerlines, cross sections, flow paths, and other data layers in GIS, validating data, running hydraulic models in HEC-RAS, and mapping inundation polygons with HEC-GeoRAS.
Camera-Based Road Lane Detection by Deep Learning IIYu Huang
lane detection, deep learning, autonomous driving, CNN, RNN, LSTM, GRU, lane localization, lane fitting, ego lane, end-to-end, vanishing point, segmentation, FCN, regression, classification
This document describes an indoor navigation Android application that uses Wi-Fi fingerprinting for localization and a routing algorithm to navigate between nodes on a map. It discusses challenges with GPS indoors and explores localization techniques including Wi-Fi, Bluetooth, and sensors. The application utilizes a SQLite database of Wi-Fi fingerprints mapped to locations, calculates the user's position by comparing live readings to stored values, and determines displacement using accelerometer and gyroscope data. It draws the user's position on a map and calculates a path between nodes using numbering to navigate between points of interest selected on the interface.
The document discusses different algorithms for rasterizing lines in computer graphics. It describes how rasterization works by converting vector graphics into pixel representations. It then explains three strategies for rasterizing a line between two points: using the explicit line equation, parametric form, and incremental algorithms like the Digital Differential Analyzer (DDA) algorithm. The DDA algorithm works by incrementally calculating the next x and y pixel coordinates along the line using step sizes, avoiding expensive floating-point calculations.
The document discusses different algorithms for rasterizing lines in computer graphics. It describes how rasterization works by converting geometric shapes into pixels. It then explains three strategies for rasterizing a line between two points: 1) using the explicit line equation, 2) using a parametric form, and 3) using incremental algorithms like the Digital Differential Analyzer (DDA) algorithm. The DDA algorithm works by incrementally calculating the next x and y pixel coordinates along the line using step sizes. It avoids expensive floating point calculations at each step.
This document discusses the major stages of infrastructure system design that can be supported by a GIS application, including terrain modeling, setting up the network layout, simulations and design validation, and detailed design. It provides examples of using GIS for terrain modeling with triangulated irregular networks, setting water and sewage networks on digital terrain models, running hydraulic simulations, and generating detailed designs and construction plans.
TcpImage is image management and transformation software that allows users to perform the following functions:
It supports common raster and vector file formats and allows adjustment of images through tools for brightness, contrast, saturation, etc. The software includes batch tools for resizing, renaming, and converting multiple images. Images can also be georeferenced using control points and reference drawings. Drawings can define layers and split images into sheets.
TcpImage is software for managing and transforming raster and vector images. It allows users to perform operations on individual images like adjustment of brightness, contrast, and saturation. It also provides batch tools for resizing, renaming, and converting multiple images at once. Additionally, TcpImage supports georeferencing of images using control points and transformation methods. Drawings can be used to divide images into sheets or reference images during georeferencing.
Algorithmic Techniques for Parametric Model RecoveryCurvSurf
A complete description of algorithmic techniques for automatic feature extraction from point cloud. The orthogonal distance fitting, an art of maximum liklihood estimation, plays the main role. Differential geometry determines the type of object surface.
Slides of the presentation of the paper Document Representation Refinement for Precise Region Description by Christian Clausner, Stefan Pletschacher and Apostolos Antonacopoulos. #digidays
Traffic Demand Prediction Based Dynamic Transition Convolutional Neural Networkivaderivader
The document proposes a traffic demand prediction model based on a dynamic transition convolutional neural network. It defines a transition network using density-peak based clustering to identify virtual stations. A dynamic graph convolutional gated recurrent unit is developed to model the station-to-station transitions over time. Meteorological data is also incorporated as external features to improve the prediction performance. The model is evaluated on bike and taxi demand data from New York City and shows improved results over various baseline models.
Unmanned aerial vehicles UAVs for the Construction IndustrySue McKinney
The potential for using UAVs within the construction and civil engineering industry is significant yet their use is currently relatively limited. The main reason behind this is a lack of awareness of their potential and the range of benefits that they can bring, even though, right through from planning to final construction, nearly every stage of the engineering process can benefit from the use of a UAV.
This document discusses different methods of data representation in GIS, including data collection, input, and output devices. It covers three main types of data input: sample ground data, topographic maps, and satellite digital data. Common input devices include digitizers, scanners, keyboards, and disk drives, while common output devices are plotters, printers, visual display units, and tape drives. The document then focuses on different data input methods like keyboard entry, digitizing, and scanning, outlining their processes, advantages, and limitations.
Traversing Notes |surveying II | Sudip khadka Sudip khadka
Traverse is a method in the field of surveying to establish control networks. It is also used in geodesy. Traverse networks involve placing survey stations along a line or path of travel, and then using the previously surveyed points as a base for observing the next point
The document describes the Marching Cubes algorithm, which was developed in 1987 to construct 3D models from medical imaging data like CT scans. It works by dividing the volume into cubes and using the pixel values at the cube vertices to determine triangles that approximate the surface. There are 256 possible cases but they can be reduced to 14 basic patterns. The algorithm calculates surface normals to improve image quality and has been used to generate 3D models from various medical imaging modalities.
The document discusses coordinate measuring machines (CMMs). A CMM consists of a probe that can be positioned accurately in three dimensions relative to a workpiece surface. The probe's coordinates are recorded to obtain dimensional data about the workpiece's geometry. Different CMM structures are described, including cantilever, moving bridge, fixed bridge, horizontal arm, column, and gantry designs. CMMs offer advantages like increased inspection speed and accuracy compared to manual inspection. They find applications in industries like automotive, aerospace, electronics, and machining for quality control and inspection of parts and tools.
X-rays were discovered in 1895 by the German physicist Wilhelm Conrad Röntgen,
who earned the Nobel Prize in Physics in 1901. Although their potential applications
in medical imaging diagnosis were clear from the beginning, the implementation of
the first X-ray computed tomography system was made in 1972 by Godfrey Newbold
Hounsfield (Nobel prize winner in 1979 for Physiology and Medicine), who constructed
the prototype of the first medical CT scanner and is considered the father of computed
tomography. CT was introduced into clinical practice into 1971 with a scan of a cystic
frontal lobe tumor on a patient at Atkinson Morley Hospital in Wimbledon (United
Kingdom). After this, CT was immediately welcomed by the medical community and
has often been referred to as the most important invention in radiological diagnosis, since
the discovery of X-rays [1].
The first applications of CT in an industrial context is traced back to the first 1980´s, in the
field of non destructive testing, where small number of slices of the object were visually
inspected. 3D quantitative industrial CT applications appeared in the later 1990s, with
simple volume and distance analysis [2]. Today, thanks to relevant improvements in both
hardware and software, CT has become a powerful and widely used tool among non
destructive techniques, capable of inspecting external and internal structures (without
destroying them) in many industrial applications. Development of more and more stable
X-ray sources and better detectors led to design of more complex CT system, providing
accurate geometrical information with micrometer accuracy. CT is widely used for
geometrical characterization of test objects, material composition determination, density
variation inspection etc. In a relative short time, CT is capable to produce a complete
three-dimensional model and tolerances of the scanned machined parts can be verified.
Because of the growing interest on precision in production engineering and an increasing
demand for quality control and assurance, CT is leading the field of manufacturing
and coordinate metrology. With respect to traditional techniques, CT systems have indisputable advantages: internal and external geometry can be acquired without
destroying the part, with a density of information much higher than common tactile and
optical coordinate measuring. A key parameter for reliability of the measurement process
is the establishment of measuring uncertainty. Since there are many influence parameters
in CT, uncertainty contributors in CT and standards dealing with quantification of CT
have not been completely established yet. The assessment of the uncertainty budget
becomes a challenge for all researchers
Vertical Mapper is software that transforms point data into continuous grid surfaces that can be analyzed and visualized. It allows users to generate grid surfaces through interpolation of point data, modify grid colors and legends, generate contours, render grids in 3D, query multiple grid layers, and edit grids. Key industries that benefit include telecommunications for wireless network planning, public sector for flood risk analysis, insurance for risk analysis, and retail for customer analysis. The presentation provides examples of how Vertical Mapper has been used in these industries and highlights its capabilities for grid creation, visualization, analysis, and custom application development.
This document provides an overview of a workshop on using HEC-GeoRAS to link GIS and hydraulic modeling software. The workshop is aimed at engineers, GIS professionals, and planners. It introduces HEC-GeoRAS and HEC-RAS software, the process of generating spatial data in HEC-GeoRAS from GIS layers, importing it into HEC-RAS, and exporting modeling results for mapping floodplains in GIS. Key topics covered include developing stream centerlines, cross sections, flow paths, and other data layers in GIS, validating data, running hydraulic models in HEC-RAS, and mapping inundation polygons with HEC-GeoRAS.
Camera-Based Road Lane Detection by Deep Learning IIYu Huang
lane detection, deep learning, autonomous driving, CNN, RNN, LSTM, GRU, lane localization, lane fitting, ego lane, end-to-end, vanishing point, segmentation, FCN, regression, classification
This document describes an indoor navigation Android application that uses Wi-Fi fingerprinting for localization and a routing algorithm to navigate between nodes on a map. It discusses challenges with GPS indoors and explores localization techniques including Wi-Fi, Bluetooth, and sensors. The application utilizes a SQLite database of Wi-Fi fingerprints mapped to locations, calculates the user's position by comparing live readings to stored values, and determines displacement using accelerometer and gyroscope data. It draws the user's position on a map and calculates a path between nodes using numbering to navigate between points of interest selected on the interface.
The document discusses different algorithms for rasterizing lines in computer graphics. It describes how rasterization works by converting vector graphics into pixel representations. It then explains three strategies for rasterizing a line between two points: using the explicit line equation, parametric form, and incremental algorithms like the Digital Differential Analyzer (DDA) algorithm. The DDA algorithm works by incrementally calculating the next x and y pixel coordinates along the line using step sizes, avoiding expensive floating-point calculations.
The document discusses different algorithms for rasterizing lines in computer graphics. It describes how rasterization works by converting geometric shapes into pixels. It then explains three strategies for rasterizing a line between two points: 1) using the explicit line equation, 2) using a parametric form, and 3) using incremental algorithms like the Digital Differential Analyzer (DDA) algorithm. The DDA algorithm works by incrementally calculating the next x and y pixel coordinates along the line using step sizes. It avoids expensive floating point calculations at each step.
This document discusses the major stages of infrastructure system design that can be supported by a GIS application, including terrain modeling, setting up the network layout, simulations and design validation, and detailed design. It provides examples of using GIS for terrain modeling with triangulated irregular networks, setting water and sewage networks on digital terrain models, running hydraulic simulations, and generating detailed designs and construction plans.
TcpImage is image management and transformation software that allows users to perform the following functions:
It supports common raster and vector file formats and allows adjustment of images through tools for brightness, contrast, saturation, etc. The software includes batch tools for resizing, renaming, and converting multiple images. Images can also be georeferenced using control points and reference drawings. Drawings can define layers and split images into sheets.
TcpImage is software for managing and transforming raster and vector images. It allows users to perform operations on individual images like adjustment of brightness, contrast, and saturation. It also provides batch tools for resizing, renaming, and converting multiple images at once. Additionally, TcpImage supports georeferencing of images using control points and transformation methods. Drawings can be used to divide images into sheets or reference images during georeferencing.
Este documento presenta TcpTunnel CAD, un software para el postproceso de datos de túneles. Explica los requisitos del software, los componentes de un proyecto de túnel como ejes en planta y alzado, secciones y puntos, y las funciones del software como el análisis de puntos, cálculo de perfiles, edición y dibujo de perfiles, y generación de informes y modelos 3D.
Esta aplicación, instalada en un PC de bolsillo, facilita al usuario las opciones más comunes para el replanteo y la toma de datos de túneles con estaciones totales motorizadas y convencionales.
Esta aplicación informática tiene por objeto la generación de secciones transversales de túneles para carreteras y ferrocarriles, a partir de los datos del láser escáner.
With this application all kind of operations can be performed on digital images, georreferenced or not, in a wide variety of formats. It is specially designed for projects in which are frequent to work with aerial photographies, orthophotos and scanned maps in combination with vectorial drawings, as in Topography, Civil Engineering, Architecture, Archaeology, etc.
Its powerful interface is very easy to control, allows the user to open multiple documents on which diverse controls of visualization can be applied. It is possible to obtain detailed information of the images, as well as print them with diverse controls.
Esta aplicación, instalada en un dispositivo móvil, facilita al usuario la elaboración de trabajos topográficos de toma de datos y replanteo con una amplia gama de receptores GNSS, integrados o bien conectados por cable serie o Bluetooth. También soporta conexión a sistemas de referencia virtuales a través de GPRS/3G. El programa incluye numerosas opciones tanto para los trabajos de mediciones y replanteos tradicionales como para los proyectos de obras lineales.
This application, installed in a mobile device, allows the user to survey and stake out topographic data using a broad range of GNSS receivers, integrated or connected through serial cable or Bluetooth. Also it allows user to connect with virtual reference station through GPRS/3G. The program provides many options for traditional surveys and setting out, and for all kind of linear works projects as well.
Esta aplicación, instalada en un PC de bolsillo, facilita al usuario la elaboración de trabajos topográficos de toma de datos y replanteo con una amplia gama de estaciones totales, conectadas a través de un cable serie o mediante comunicación inalámbrica Bluetooth. En las estaciones motorizadas el programa orienta automáticamente el aparato al punto deseado. El programa incluye numerosas opciones tanto para trabajos de mediciones y replanteos como para proyectos de obras lineales.
This application, installed in a pocket PC, allows the user to survey and stake out topographical data using a wide range of total stations, connected through a standard cable or through wireless Bluetooth technology. In motorised stations, the software will automatically direct the device to the desired location. The program provides numerous options and may be used for traditional mapping or surveying, and for projects involving linear works.
This powerful application allows a real-time monitoring over control points using robotic total stations and other devices. Among the practical applications are the control of slopes, dams, buildings, bridges and other structures.
Esta potente aplicación permite realizar una auscultación en tiempo real sobre puntos de control empleando estaciones totales robotizadas y otros dispositivos. Entre las aplicaciones prácticas destacan el control de taludes, presas, edificios, puentes y otras estructuras, etc.
Aplicación integrada en TcpMDT que permite la visualización y explotación de nubes de puntos capturadas con tecnología LiDAR o escáners convencionales. Es capaz de calcular perfiles longitudinales y transversales, así como la obtención de superficies, mallas y curvados.
This application enables the users to view and process point clouds created by LIDAR technology or conventional scanners. The software generates profiles and cross sections, in addition to surfaces, meshes and contours.
El documento describe la versión 7 del software MDT-TCP para modelado digital del terreno. Incluye módulos para gestión de puntos topográficos, generación de superficies y mallas 3D, diseño de alineaciones y perfiles, cálculo de volúmenes, y gestión de imágenes y nubes de puntos LiDAR. El software es compatible con AutoCAD y BricsCAD, y cuenta con herramientas para importar/exportar datos de GPS, estaciones totales y escáneres láser 3D.
MDT Version 7 is a software for surveying, terrain modeling, and civil engineering projects. It has modules for standard, professional, surveying, images, and point cloud uses. It supports Windows and AutoCAD platforms. Key features include management of surveying points, terrain modeling, contours, alignments, templates, volumes, setting out, georeferencing of images, LiDAR data processing, and project management tools.
Aplitop - Aplicaciones de Topografia e Ingenieria Civilaplitop
Este documento presenta la información sobre una compañía de software llamada Aplitop. Aplitop desarrolla aplicaciones de topografía e ingeniería civil desde 1987. Ofrece soluciones para proyectos de topografía, captura de datos con GPS y estación total, fotogrametría, túneles y monitoreo. Cuenta con más de 8,000 clientes en España y otros 40 países. Aplitop mantiene una red de 82 distribuidores en España y 25 en otros países.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
What is Master Data Management by PiLog Groupaymanquadri279
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
2. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
1. Project Data
2. Template Definition
3. Points Management
4. Filtering Tools
5. Cross-Sections Computing and Editing
6. Areas and Volumes Report
7. Tunnel Tour
8. Inspection Map
9. Orthoimage
INDEX
7. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Numerical definition from arcs
and lines
• DXF file import and TcpTunel
CAD files
• Multiple templates and layers
• Definition of control points
Template Definition
8. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Different templates can be defined along the alignment
• Horizontal and vertical position of alignment must be given
• Control points for vertical alignment and superelevations
• Destroy Height
Template Definition
10. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• ASCII files import as sessions
• Supported Formats
– ASCII XYZ
– Cyclone PTS & PTX
– Leica HDS 4500/6000 FZS
– Faro FLS
• Automatic analysis and
classification
• Virtually unlimited capacity
Points Management
11. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Isometric and perspective
views
• Zoom, 3-D rotation and
orbit in real-time
• Layer control
• Movement along alignment
• Point Information
• 3D Distance measurement
Views
12. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Bases
• Alignment offset
• Distance to station
• Height difference
• Angle
• Distance to template
• Scanned colour
• Scanned intensity
• In/Out
Points Symbology
16. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Station, Offset and
Height
• Angle
• Distance to template
• Manual selection
Filtering Tools
17. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Station range
• Origin point, start and end angles variables
• Representation in real-time
Angle Filtering
18. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Selection method:
– Rectangle
– Circle
– Polygon
• Clear selection
• Include selection
• Invert selection
Manual Filtering
20. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• It is not needed to define
tunnel cross-section
• Bandwith and interval given
by user
• Singular Points
• Vertical or perpendicular to
vertical alignment
• Tunnel or road cross-
sections
Cross-Sections Calculation
21. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Front or perspective
visualization
• Layer control allowing display or
hide points, theorical and
measured cross-sections …
Cross-Sections Views
22. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Tools to add, move or delete
vertices or groups of vertices
• Invalid points can be
removed and recalculate
cross-sections
Cross-Sections Editing
23. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Interactive drawing and DXF
export
• Control of element to draw
• Single or by sheet drawing
Cross-Sections Drawing
25. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Calculation of areas and volumes
• Reports by layers
• Advanve and destroy reports
• Cross-Sections comparation
• Export to Excel and HTML
Areas and Volumes Report
26. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Drawing of infra and over-
excavation
• Numerical results by
layers
Areas and Volumes Report
27. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Alignment deviation from
control points
• Coordinates report
• Control points report
• Stakeout
Other Reports
29. Tunnels Cross-Section Generation from 3D Scanner
TcpScancyr for Tunnels
• Control of speed,
direction and visible
distance
• Layer control
• Video export
Tunnel Tour