Seismic Vulnerability Assessment Using Field Survey and Remote Sensing Techniques
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P. Ricci, G. M. Verderame, G. Manfredi, M. Pollino, F. Borfecchia, L. De Cecco, S. Martini, C. Pascale, E. Ristoratore and V. James (2011). Presented at "Computational Science and Its Applications - ICCSA 2011 International Conference", Santander, Spain, June 20-23, 2011. In this presentation, a seismic vulnerability assessment at large scale is described, within the SIMURAI project. A field survey was carried out in order to gather detailed information about geometric characteristics, structural typology and age of construction of each single building. An airborne Remote Sensing (RS) mission was also carried out over the municipality of Avellino, providing a detailed estimate of 3D geometric parameters of buildings through a quite fast and easy to apply methodology integrating active LIDAR technology, aerophotogrammetry and GIS techniques. An analytical seismic vulnerability assessment procedure for Reinforced Concrete buildings is illustrated and applied to the building stock considering (i) field survey data (assumed as a reference) and (ii) LIDAR data combined with census data as alternative sources of information, according to a multilevel approach. A comparison between the obtained results highlights an acceptable scatter when data provided by RS techniques are used.
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Offshore research measurements & focus on structural health monitoring
Offshore research measurements & focus on structural health monitoring
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Structural Health Monitoring: The paradigm and the benefits shown in some mon...
Structural Health Monitoring: The paradigm and the benefits shown in some mon...
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Marina Bay Front Sands Tower Real Time Structural Health Monitoring
Marina Bay Front Sands Tower Real Time Structural Health Monitoring
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Structural Health Monitoring for High Rise Buildings
Structural Health Monitoring for High Rise Buildings
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7th European Workshop on Structural Health Monitoring
7th European Workshop on Structural Health Monitoring
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Comparison of Different Retrofitting Techniques for Masonry Buildings
Comparison of Different Retrofitting Techniques for Masonry Buildings
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Sensor based structural health monitoring of concrete structures
Sensor based structural health monitoring of concrete structures
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Muravin The fundamentals of Structural Health Monitoring using Acoustic Emis...
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An Open Source GIS System for Earthquake Early Warning and Post-Event Emergen...
An Open Source GIS System for Earthquake Early Warning and Post-Event Emergency Management
Maurizio Pollino, Grazia Fattoruso, Antonio Bruno Della Rocca, Luigi La Porta â National Agency for New Technologies, Energy and Sustainable Economic Development
Development (ENEA)
Valentina James, Carmine Pascale - Consortium T.R.E. Technologies for Building renovation
Crack Detection of Wall Using MATLAB
Cracks on the concrete surface are one of the earliest symptoms of degradation of the structure which isfundamental for the upkeep as properly the non-stop publicity will lead to the severe injury to the environment.Manual inspection is the acclaimed approach for the crack inspection. In the guide inspection, the diagram of thecrack is organized manually, and the conditions of the irregularities are noted. Since the guide strategy absolutelyrelies upon on the specialistâs expertise and experience, it lacks objectivity in the quantitative analysis. So,automated image-based crack detection is proposed as a replacement. The proposed gadget comprises pictureprocessing and facts acquisition methodologies for crack detection and evaluation of surface degradation. Theacquired outcomes exhibit that the deployment of image processing in an nice way is a key step towards theinspection of giant infrastructures
COMPREHENSIVE GIS-BASED SOLUTION FOR ROAD BLOCKAGE DUE TO SEISMIC BUILDING CO...
COMPREHENSIVE GIS-BASED SOLUTION FOR ROAD BLOCKAGE DUE TO SEISMIC BUILDING CO...Reza Nourjou, Ph.D.
This document describes a GIS-based methodology for modeling road blockage due to building collapse from earthquakes in Tehran, Iran. The methodology involves 4 steps: 1) developing a geodatabase of the building inventory, road network, and seismic hazard maps, 2) assigning building vulnerability functions to estimate collapse, 3) identifying buildings that may block roads based on their location and size, and 4) calculating a Road Blockage Index for each road segment based on adjacent collapsed buildings. The methodology was applied to District 17 of Tehran, a seismically vulnerable area, to produce 3D risk maps showing expected damage and road blockages that could aid emergency response planning.Â
An assessment-based process for modifying the built fabric of historic centre...
An assessment-based process for modifying the built fabric of historic centres: the case of Como in Lombardy
Pier Luigi Paolillo, Alberto Benedetti, Umberto Baresi, Luca Terlizzi, Giorgio Graj -Polytechnic of Milan
An Open Source GIS System for Earthquake Early Warning and Post-Event Emergen...
Authors: M. Pollino, G. Fattoruso, A. B. Della Rocca, L. La Porta, S. Lo Curzio, A. Arolchi, V. James and C. Pascale (2011).
Presented at "Computational Science and Its Applications - ICCSA 2011 International Conference", Santander, Spain, June 20-23, 2011.
The recent advances in geo-informatics have been opening new opportunities in earthquake early warning and emergency management issues. In the last years, the geo-scientific community has recognized the added value of a geo-analytic approach in complex decision making processes for critical situations due to disastrous natural events such as earthquakes. In fact, recently, GIS-based solutions are investigated in several research projects such as SIT_MEW Project, aimed at the development of volcanic and seismic early warning systems (EWSs). In this project context, an innovative open source GIS system has been investigated and developed as integrated component of the seismic EWS. Its architecture consists in a geospatial database system, a local GIS application for analyzing and modelling the seismic event and its impacts and supporting post-event emergency management, a WEB-GIS module for sharing the geo-information among the public and private stakeholders and emergency managers involved in disaster impact assessment and response management.
GIS Interactive Web-Tool Austria-2009
The document describes an interactive web visualization tool called VISOR-RISNA that was developed to help interpret the results of a regional seismic risk assessment study in Navarre, Spain and aid in defining emergency response levels. VISOR-RISNA allows non-technical users like decision-makers to easily access and understand large amounts of risk data to inform emergency planning in a visually compelling way.
SEISMIC HUMAN LOSS ESTIMATION IN TEHRAN USING GIS
This document summarizes a methodology for estimating human losses from earthquakes in Tehran, Iran using GIS. Specifically:
1) It focuses on District 17 of Tehran, which has many vulnerable unreinforced masonry buildings.
2) A GIS database was developed incorporating seismic hazard maps, building inventory data, and population statistics to model building damage and human losses.
3) Fragility curves were generated for unreinforced masonry buildings to estimate the probability of different damage states based on the Iranian seismic design code and modified Hazus methods.
CNR at NSE2019
The CNR (National Research Council of Italy) supports Italy's space sector in several areas:
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- Developing new observational payloads and data management systems.
- Launching small satellites from an airborne "AirLaunch" platform.
- Materials, communications, and technologies for energy storage and efficiency with applications for aerospace.
The CNR collaborates closely with the government and industry to provide scientific and technological support and strengthen Italy's role in space.
Gis spatial analysis for digital elevation model dem application
This document discusses using GIS spatial analysis to analyze digital elevation models (DEMs) before and after construction of the Alsukhna city project in Egypt. Two DEMs were created, one before and one after construction, using field surveys, satellite images, and topographic maps. GIS was used to compare the DEMs and determine the volume of cutting and filling during construction. The analysis found that the total volume of cutting from mountains was 116,405,841 cubic meters and the total volume of filling was 113,612,511 cubic meters, with 98% of cut material used for filling. The cutting and filling process helped protect the project area from rainfall risks and mountain collapse.
Earthquake Analysis of RCC structure by using Pushover Analysis
This document summarizes a research paper that analyzes the seismic behavior of reinforced concrete (RCC) structures using pushover analysis. It discusses conducting pushover analysis on RCC building models in Etabs software to evaluate their performance under earthquake loads. The paper analyzes G+10, G+15, G+20, and G+25 story buildings to compare their base shear, story drift, and displacement. It finds that pushover analysis is effective for exploring the nonlinear behavior of structures and that Etabs provides accurate results. The paper concludes that high-rise buildings can be designed to withstand seismic loads based on the pushover analysis results.
Numerical Modeling of Prefabricated Large Panels Build in Albania from 1960 t...
This document summarizes a study on numerically modeling prefabricated large concrete panels used in building construction in Albania from 1960 to 1970. It discusses:
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3) The modeling assumptions, including representing the panels and joints as linear elastic shell elements and simulating different joint stiffness configurations.
K013139190
This document summarizes a case study that used the Canadian Seismic Screening Method to evaluate 37 reinforced concrete buildings in Ahlat, Turkey. The screening method uses 8 parameters to calculate a Structural Index and Non-Structural Index for each building, which are then combined to determine a Seismic Priority Index. For the study in Ahlat, 14% of buildings were rated as low priority, 41% as medium priority, 35% as high priority, and 10% as very risky priority. The screening method provided a fast way to assess the seismic risk of numerous buildings and identify which should undergo more detailed evaluation.
Estimation and Evaluation of G+3 Residential Building
Any construction project to begin with starts with the Layout of the building or structure followed by
Design and Analysis of the structure which is succeeded by cost estimation and planning for the said project. This
project involves the layout, design, analysis, planning and cost estimation of a G+3 residential building located
in Bhiwandi. The layout of the proposed G+3 residential building is based on a plot of size 18X15M. Previously
the plot was being used as a commercial complex, but according to the new plan it will be used as a multi-storied
residential building. The ground floor of the building will be used as parking while the remaining 3 floors will be
divided into 6 apartments each having an area of 2BHK & 1BHK 60.97sqm & 48.25sqm. Each apartment is of
2BHK and 1BHK configuration.
Geospatial Analysis and Internet of Things in Environmental Informatics
Geospatial analysis offers large potential for better understanding, modelling and visualizing our natural and artificial ecosystems, using Internet of Things as a pervasive sensing infrastructure. This presentation performs a review of research work based on the IoT, in which geospatial analysis has been employed in environmental informatics. Six different geospatial analysis methods have been identified, presented together with 26 relevant IoT initiatives adopting some of these techniques. Analysis is performed in relation to the type of IoT devices used, their deployment status and data transmission standards, data types employed, and reliability of measurements. This paper scratches the surface of this combination of technologies and techniques, providing indications of how IoT, together with geospatial analysis, are currently being used in the domain of environmental research.
Presented at EnviroInfo 2018 at Munich, Germany.
SIMPLIFIED SAR SIMULATION FOR REMOTE SENSING URBAN DAMAGE ASSESSMENT
This document summarizes a methodology for using SAR satellite imagery and GIS data to simulate urban building signatures and assess earthquake damage remotely. It involves simulating radar cross sections of buildings under different orientations, extracting building edge data from high-resolution maps into a GIS database, and using the RCS simulations and orientations to model expected SAR signatures. This allows generating calibration layers to adjust SAR-based damage indices for different sensor angles. The method is demonstrated for cities in Bam, Iran and Tehran that experienced earthquakes, using Envisat SAR data and ancillary maps to extract building outlines and attributes.
Remote sensing technology for disaster mitigation and regional infrastructure...
A Very high intensity of regional development is ubiquitous in urban areas. Therefore, urban development requires a proper spatial development strategy in many facets, especially social aspect and disaster potential. The essence of social aspect lies in the prevailing norms and local wisdom that have long existed and become the basis of community life. Inducing various effects on infrastructure development, disaster potential has to be considered as well. Disaster mitigation measures can start with the use of continually developing remote sensing technology, which provides a basis for preparing sustainable development planning. The realization of these measures in urban areas demands specific adjustment to the environmental conditions. This study aimed to examine the capacity of remote sensing data to support disaster mitigation and infrastructure planning based on energy conservation in urban areas. The results indicate that remote sensing technology can be an option for sustainable development planning in urban areas.
bcm ppt basic civil and mechanical rough ppt.pptx
Electronics have greatly influenced civil engineering by introducing new tools and technologies. Advanced sensors and monitoring systems enable real-time data collection to assess structures and monitor construction. This data can be analyzed to predict infrastructure conditions and efficiently manage resources. Emerging technologies like drones, robotics, augmented reality, and artificial intelligence will further automate tasks and provide data-driven insights to optimize safety, efficiency, and sustainability in civil engineering projects.
Generating three dimensional photo-realistic model of
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Support to railway monitoring and maintenance using GIS
Authors: M. Pollino, A. Danzi, A. B. Della Rocca, L. Rossi (ENEA)
Presented at Esri Europe, Middle East, and Africa User Conference (EMEA UC)
Rome, 26th - 28th October 2010
Generating three dimensional photo-realistic model of archaeological monument...
Abstract
Stimulated by the growing demand for three-dimensional (3D) photo-realistic model of archaeological monument, people are looking
for efficient and more precise methods to generate them. However, a single method is not yet available to give adequate results in all
situations, especially high geometric accuracy, automation, photorealism as well as flexibility and efficiency. This paper describes the
method for generating 3D photo realistic model of Bukit Batu Pahat shrine by the means of multi-sensors data integration. Global
Positioning System (GPS), Total Station and terrestrial laser scanner (Leica ScanStation C10) were used to record spatial data of the
shrine. Nevertheless, due to the low quality of the coloured point cloud captured by the scanner, a digital camera, Nikon D300s was
used to capture photos of the shrine for surface texturing purpose. A photo realistic 3D model with high geometric accuracy of the
shrine was generated through spatial and image data integration. A feature mapping accuracy and geometric mapping accuracy was
conducted to analyse the quality of the 3D photo-realistic model of the monument. Based on the results obtained, the integration of
ScanStation C10 and images data is capable of providing a 3D photo-realistic model of Bukit Batu Pahat shrine where feature
mapping accuracy showed that the model was 90.56 percent similar with the real object. Additionally, the geometrical accuracy of the
model generated by ScanStation C10 data was very convincing which was ±4 millimetres. In summary, the goal of this research has
successfully achieved where a 3D photo- realistic model of Bukit Batu Pahat shrine with good geometry was generated through multisensors
data integration.
Keywords: archaeological monument, terrestrial laser scanner, digital photo, 3D photo-realistic model
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Earthquake Analysis of RCC structure by using Pushover Analysis
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Numerical Modeling of Prefabricated Large Panels Build in Albania from 1960 t...
Numerical Modeling of Prefabricated Large Panels Build in Albania from 1960 t...
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Geospatial Analysis and Internet of Things in Environmental Informatics
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SIMPLIFIED SAR SIMULATION FOR REMOTE SENSING URBAN DAMAGE ASSESSMENT
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Remote sensing technology for disaster mitigation and regional infrastructure...
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Support to railway monitoring and maintenance using GIS
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Geomatics: soil consuming risk in renewable energy plants installation
As indicated in the 2009/28/EC Directive of the European Parliament and Council, ambitious energy and climate change objectives for 2020 have been stated: greenhouse gas emissions reduction for 20%, renewable energy increase for 20%, improvement in energy efficiency for 20%.
Types and "forms" of intervention on the territory, to produce energy from renewables, appear to be multiple and certainly comparable to infrastructure "linear and areal" of anthropogenic nature. It follows that, also for this purpose, the "environment consumptionâ is one of the main phenomena found at different levels, which add to the already growing soil consumption in our country.
Starting from this consciousness, research of potential and actual impacts, due to the installation for energy production from renewable sources, in a modern land management, must focus on assessing the landscape ecology. A significant problem for some types of plants, mainly those solar and wind power, is the need to install the devices in the environment, with possible negative effects in terms of visual impact and soil consuming. Careful planning to individuate the less invasive and less âvisibleâ plants integration" could reduce the problem, but certainly not eliminate it. It is therefore extremely important to define what weight can have different impacts on the environment, however, considering all possible options.
Interaction between environmental and technological systems: toward an unifyi...
This document presents an approach for developing decision support systems (DSS) to predict risks from interactions between environmental and technological systems. The goal is to integrate systems for risk assessment based on event prediction and impact analysis. Several case studies are described that use modeling and simulation techniques to forecast crisis scenarios from extreme weather, earthquakes, or nuclear accidents. Impacts on critical infrastructure and populations are estimated. The document argues this multidisciplinary approach will enable more effective risk management and crisis response tools.
Elaborazione di immagini satellitari ad alta risoluzione per lâanalisi multis...
15.ma Conferenza Nazionale ASITA, 15 â 18 novembre 2011, Reggia di Colorno
Authors: Carmelo Riccardo Fichera, Giuseppe Modica,
Antonio Bruno Della Rocca, Maurizio Pollino
Abstract:
Le attivitĂ ENEA nellâambito del Progetto SIT_MEW
SEMINARIO:
"Le attivitĂ ENEA nellâambito del Progetto SIT_MEW - Sviluppo ed applicazione di un sistema GIS open source per la gestione di emergenze sismiche in Campania"
7/10/2011, Sala Mimose - C.R. ENEA Casaccia
Relatori: Antonio Bruno Della Rocca, Maurizio Pollino
Abstract:
Il Progetto SIT_MEW (Sistema Integrato di Telecomunicazioni a larga banda per la gestione del territorio e delle emergenze in caso di calamità naturali comprensivo di Metodologie di Early Warning), co-finanziato dal MIUR, si pone come obiettivo principale lo sviluppo di un sistema di early warning sismico e vulcanico e di un sistema di supporto al post-evento nella Regione Campania, fondato sulle reti di monitoraggio esistenti e su di una piattaforma integrata di comunicazioni.
In questo contesto, il contributo ENEA riguarda la progettazione e lo sviluppo di un Sistema Informativo Geografico (free/open source) per la gestione dei dati territoriali e per la definizione e rappresentazione di scenari di pericolositĂ e di danneggiamento atteso, in caso di evento sismico. Il WebGIS cosĂŹ sviluppato costituisce lâinterfaccia geografica della centrale di elaborazione di SIT_MEW.
Elaborazione di immagini telerilevate multi-temporali per lâanalisi dei cambi...
Convegno di Medio Termine dellâAssociazione Italiana di Ingegneria Agraria (AIIA)
Belgirate, 22-24 settembre 2011
Authors:
C.R. Fichera, G. Modica, M. Pollino
Abstract:
Lâutilizzo delle tecniche di Telerilevamento, unitamente con GIS e metriche del paesaggio, Ăš di fondamentale supporto per la mappatura della copertura del suolo e lâanalisi multitemporale dei cambiamenti occorsi. In questo contesto, viene descritto il caso di studio relativo allâarea della Conca di Avellino. Per studiare i cambiamenti nellâuso del suolo verificatisi nellâarco di un cinquantennio (1954Ă·2004), Ăš stato processato un dataset multitemporale di foto aree (1954) e immagini Landsat (MSS 1975, TM 1985 e 1993, ETM+ 2004). I risultati hanno permesso di analizzare le dinamiche di matrice naturale e antropica intervenute nel territorio, molte delle quali legate agli strumenti urbanistici varati dopo il terremoto dellâIrpinia dellâ80.
GIS and Remote Sensing to study urban-rural transformation during a fifty-yea...
C. R. Fichera, G. Modica, M. Pollino (2011).
Presented at "Computational Science and Its Applications - ICCSA 2011 International Conference", Santander, Spain, June 20-23, 2011.
A relevant issue in Remote Sensing (RS) and GIS is related to the analysis and the characterization of Land Use Land Cover (LULC) changes, very useful for a wide range of environmental applications and to efficiently undertake landscape planning and management policies. The methodology described has been applied to a case-study conducted in the area of the Province of Avellino (Southern Italy). Firstly, aerial photos and Landsat imagery have been classified to produce LULC maps for a fifty-year period (1954Ă·2004). Then, through a GIS approach, change detection and spatiotemporal analysis has been integrated to characterize LULC dynamics, focusing on the urban-rural gradient. This study has shown that LULC patterns and their changes are linked to both natural and social processes whose driving role has been clearly demonstrated: after the disastrous Irpinia earthquake (1980), local specific zoning laws and urban plans have significantly addressed landscape changes.
Remote sensing and GIS for land cover change characterization and rural/urban...
Authors: C. R. Fichera, G. Modica, M. Pollino.
Poster presented at Esri EMEA (Europe, Middle East And Africa) USER CONFERENCE 2010. Rome, October 26â28 2010
The development of the urban areas is able to transform landscapes formed by rural into urban life styles and to make functional changes, from a morphological and structural point of view. Historically, urban expansion (driven by the population increase) has typically take place on former agricultural use.
A multi-temporal image dataset has been analyzed to identify the changing pattern of Land Cover (LC) during a fifty-year period (1954Ă·2004).
Using the analysis tools of ArcGIS, the results have been synthesized into maps of LC changes, in order to characterize the respective dynamics.
Temporal trend analysis and landscape metrics have been integrated, using ArcGIS and specific extensions: such approach has allowed to characterize landscape patterns through significant indices and to understand the changes therein.
Characterizing land cover change using multi-temporal remote sensed imagery a...
C. R. Fichera, G. Modica, M. Pollino
Sesta Conferenza Nazionale in Informatica e Pianificazione Urbana e Territoriale INPUT 2010
Potenza, 13-15 Settembre 2010
Tecniche GIS applicate al monitoraggio ed alla manutenzione di infrastrutture...
Luigi Rossi, Maurizio Pollino, Andrea Danzi, A. Bruno Della Rocca
Sesta Conferenza Nazionale in Informatica e Pianificazione Urbana e Territoriale INPUT 2010
Potenza, 13-15 Settembre 2010
Osservazioni aerospaziali: Applicazioni territoriali ed ambientali
A. Arolchi, D. Bersan, F. Borfecchia, A. Buonamassa, L. De Cecco, A.B. Della Rocca, L. La Porta, R. Marinozzi, S. Martini, M. Pollino, L. Rossi - UTMEA-TER
Primo workshop UnitĂ Tecnica Modellistica Energetica e Ambientale (UTMEA)
Roma, 15 Giugno 2010
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La gestione del territorio e delle emergenze in caso di calamitĂ naturali: il...
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Geomatics: soil consuming risk in renewable energy plants installation
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Interaction between environmental and technological systems: toward an unifyi...
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Â
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Le attivitĂ ENEA nellâambito del Progetto SIT_MEW
Â
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Elaborazione di immagini telerilevate multi-temporali per lâanalisi dei cambi...
Â
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Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. đ»
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. đ„ïž
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. đ
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether youâre at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. Weâll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
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HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Donât worry, we can help with all of this!
Weâll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. Weâll provide examples and solutions for those as well. And naturally weâll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This yearâs report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
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With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
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