The document describes the Sustainability Impact Assessment Tool (SIAT), which was developed to support ex-ante impact assessment of policies related to multifunctional land use in Europe. SIAT allows users to define policy scenarios, baselines, and indicators; analyze impacts on sustainability at various geographic scales; and compare alternative policy options. It integrates various land use and sector models through a flexible and component-based framework. The tool aims to facilitate discussion on policy trade-offs and sustainability limits.
1) O documento discute projetos de sustentabilidade implementados pelo setor sucroenergético brasileiro, incluindo zoneamento agroecológico, compromissos para melhorar condições de trabalho e eliminação gradual da queima da cana.
2) É apresentado o programa de requalificação profissional para trabalhadores da cana, com treinamento em novas habilidades para o setor e outros.
3) A UNICA descreve a importância de relatórios de sustentabilidade usando padrões GRI para promover transparência, manutenção de
1) O documento discute a sustentabilidade do emprego no contexto da produção de etanol a partir da cana-de-açúcar.
2) A colheita manual da cana-de-açúcar é insustentável e a mecanização é inevitável, o que pode levar ao desemprego dos cortadores.
3) Programas de requalificação profissional são necessários para inserir os trabalhadores em novas funções geradas pela mudança tecnológica.
O documento discute o setor sucroalcooleiro no estado de São Paulo, incluindo sua importância econômica e ambiental. Ele também descreve os protocolos e zoneamentos implementados pelo governo para promover a sustentabilidade do setor, como a redução da queima da palha da cana e a proteção de recursos naturais.
O documento discute o balanço de carbono do etanol de cana-de-açúcar como indicador de sustentabilidade. Apresenta estimativas de expansão da área de cana no Brasil, estoque de carbono em diferentes tipos de vegetação, emissões de carbono ao longo do ciclo de vida do etanol produzido e a mobilidade potencial gerada por 1 hectare de cana por ano.
O documento discute a ecologia da paisagem e sua aplicação na avaliação da sustentabilidade do etanol. A ecologia da paisagem analisa como a estrutura espacial da paisagem afeta processos ecológicos e a conservação da biodiversidade. Parâmetros como a cobertura de vegetação nativa e o tamanho e distância entre fragmentos são importantes nessa análise aplicada às paisagens de produção de cana-de-açúcar.
Wageningen UR is a unique chain of knowledge in the Netherlands that spans from academic to applied research. It focuses on plant and animal sciences, agricultural sciences, and ecology and environment. The SENSOR project developed an ex-ante sustainability impact assessment tool for land use changes in the European Union. The tool evaluates impacts on economic, environmental, and social aspects using land use functions and indicators. It provides information to policymakers to help anticipate the effects of their policies and support more sustainable decision making.
O documento discute o impacto inicial dos veículos movidos a etanol na poluição do ar em São Paulo na década de 1980. Estudos mostram que os carros a etanol emitiam menos monóxido de carbono, hidrocarbonetos e óxidos de nitrogênio do que os movidos a gasolina. Pesquisas posteriores indicaram também menores emissões de compostos tóxicos como dioxinas, furanos e hidrocarbonetos policíclicos aromáticos nos veículos a etanol.
1) O documento discute projetos de sustentabilidade implementados pelo setor sucroenergético brasileiro, incluindo zoneamento agroecológico, compromissos para melhorar condições de trabalho e eliminação gradual da queima da cana.
2) É apresentado o programa de requalificação profissional para trabalhadores da cana, com treinamento em novas habilidades para o setor e outros.
3) A UNICA descreve a importância de relatórios de sustentabilidade usando padrões GRI para promover transparência, manutenção de
1) O documento discute a sustentabilidade do emprego no contexto da produção de etanol a partir da cana-de-açúcar.
2) A colheita manual da cana-de-açúcar é insustentável e a mecanização é inevitável, o que pode levar ao desemprego dos cortadores.
3) Programas de requalificação profissional são necessários para inserir os trabalhadores em novas funções geradas pela mudança tecnológica.
O documento discute o setor sucroalcooleiro no estado de São Paulo, incluindo sua importância econômica e ambiental. Ele também descreve os protocolos e zoneamentos implementados pelo governo para promover a sustentabilidade do setor, como a redução da queima da palha da cana e a proteção de recursos naturais.
O documento discute o balanço de carbono do etanol de cana-de-açúcar como indicador de sustentabilidade. Apresenta estimativas de expansão da área de cana no Brasil, estoque de carbono em diferentes tipos de vegetação, emissões de carbono ao longo do ciclo de vida do etanol produzido e a mobilidade potencial gerada por 1 hectare de cana por ano.
O documento discute a ecologia da paisagem e sua aplicação na avaliação da sustentabilidade do etanol. A ecologia da paisagem analisa como a estrutura espacial da paisagem afeta processos ecológicos e a conservação da biodiversidade. Parâmetros como a cobertura de vegetação nativa e o tamanho e distância entre fragmentos são importantes nessa análise aplicada às paisagens de produção de cana-de-açúcar.
Wageningen UR is a unique chain of knowledge in the Netherlands that spans from academic to applied research. It focuses on plant and animal sciences, agricultural sciences, and ecology and environment. The SENSOR project developed an ex-ante sustainability impact assessment tool for land use changes in the European Union. The tool evaluates impacts on economic, environmental, and social aspects using land use functions and indicators. It provides information to policymakers to help anticipate the effects of their policies and support more sustainable decision making.
O documento discute o impacto inicial dos veículos movidos a etanol na poluição do ar em São Paulo na década de 1980. Estudos mostram que os carros a etanol emitiam menos monóxido de carbono, hidrocarbonetos e óxidos de nitrogênio do que os movidos a gasolina. Pesquisas posteriores indicaram também menores emissões de compostos tóxicos como dioxinas, furanos e hidrocarbonetos policíclicos aromáticos nos veículos a etanol.
From Semantic Interoperability towards Data SpacesH2020 DEMETER
In this presentation, DEMETER representative, Dr Raul Palma discusses the practicalities of realizing data spaces - purpose, challenges and opportunities. This presentation was delivered at the SmartAgriHubs final event in September 2022.
DEMETER is developing the Agriculture Information Model (AIM) which is a data model and ontology that describes all data needed by DEMETER applications and the usage of which ensures semantic interoperability between data and various components.
Seserv workshop costas courcoubetis - introduction to tussle analysis metho...ictseserv
This document discusses a methodology for analyzing conflicts ("tussles") between stakeholders in the socio-economic layer of the internet. It describes a basic socio-economic technology cycle where stakeholders adopt, configure, and use technologies in ways that can lead to unstable outcomes if a tussle result is considered unfair. The methodology involves identifying stakeholder roles and tussles around a functionality, assessing impacts, and considering how choices could spill over and destabilize other functionalities. Design principles are discussed to guide creating protocols that facilitate variation in outcomes and avoid tussle spillovers.
DEMETER - Data Driven Innovation in the Agrifood sectorH2020 DEMETER
In this presentation, Dr Ioanna Roussaki and Dr Raul Palma present the DEMETER concept, objectives and pilots and gives an over of the DEMETER Agricultural Information Model. This was presented at the European Evaluation Helpdesk for Rural Development, Good Practice Workshop in October 2021.
A Framework for Geospatial Web Services for Public Health by Dr. Leslie LenertWansoo Im
A Framework for Geospatial Web Services for Public Health
by Leslie Lenert, MD, MS, FACMI, Director
National Center for Public Health Informatics, CCHIS, CDC
June 8 2009 URISA Public Health Conference
uploaded by Wansoo Im, Ph.D.
URISA Membership Committee Chair
http://www.gisinpublichealth.org
This document discusses using visual analytics techniques on linked data. It begins by motivating the combination of these fields by noting that while linked data services excel at data access, they lack support for complex analytical scenarios. It then provides examples of how visual analytics has been used in other domains like analyzing financial data, patent trends, and simulating biological processes. Finally, it outlines how visual analytics could be applied to linked data, including aggregating and filtering data, implementing analytical workflows, and using visualization techniques to enable discovery and presentation of insights to domain experts. The goal would be supporting collaborative analytical tasks on a global scale.
Big Data technology for systems monitoring in Energy – Big Data Europe BigData_Europe
The document summarizes a workshop on using big data technology for energy system monitoring. It discusses the Big Data Europe project, which aims to develop an open-source big data management platform to address challenges across different domains. Big data can benefit the energy sector through applications like monitoring power infrastructure, forecasting renewable energy production, and managing smart grids. The platform will integrate various data analytics tools to extract insights from large and complex energy datasets.
Socio-Economic Aware Design of Future Network Technology (Y.FNsocioeconomic)ictseserv
The document summarizes a presentation on socio-economically aware design of future networks. It discusses goals of considering socioeconomic factors in technology design to promote long-term success and adoption. A proposed recommendation called Y.FNsocioeconomic provides methods for analyzing how technologies may impact different stakeholders and assessing potential "tussles" between their interests through a tussle analysis meta-method. The presentation concludes by emphasizing the need for engineers to account for socioeconomic aspects when designing technologies.
Socio-Economic Aware Design of Future Network Technology (Y.FNsocioeconomic)ictseserv
The document summarizes a presentation given at an ITU workshop in Kampala, Uganda on April 2, 2012. The presentation discusses the goal of designing future network technologies with socioeconomic awareness. It proposes a structure for a new ITU recommendation called "Y.FNsocioeconomic" to provide methods for achieving socioeconomic design goals and objectives outlined in another ITU recommendation (Y.3001). One such method discussed is tussle analysis, which involves identifying stakeholders, their potential conflicts (tussles), and how those tussles may evolve as technologies are adopted and configured. Bandwidth sharing is provided as an example case of applying tussle analysis.
The document discusses using the Technology Infusion and Maturation Assessment (TIMA) process developed by NASA's Jet Propulsion Laboratory to design and evaluate architectural options for the smart electric power grid in California. TIMA involves identifying key technologies, developing use cases, analyzing risks and barriers, and defining a technology roadmap. The goal is to meet California's energy and climate policy objectives through 2030 and beyond in a cost-effective manner.
PCTY 2012, Risk Based Access Control v. Pat WardropIBM Danmark
Risk-based access uses contextual information like device, location, identity, and behavior to dynamically determine access to resources, complementing traditional static access controls. It considers changing business environments with mobile, cloud, and social aspects. Common context sources are endpoints, identity, environment, resource/action, and behavior. Enforcement can occur at intermediary, container, or application levels. Use cases include enabling secure BYOD access to business applications from any location and providing access based on risk instead of just authentication.
The document discusses a service oriented approach to providing capabilities for joint warfighters through architecture federation. It aims to create a common infrastructure that enables the generation of reusable architecture models depicting operational, system and technical perspectives. This is intended to reduce duplication of effort, encourage collaboration, and improve the speed and efficiency of developing joint capabilities.
1. Coordination across agencies - As threats evolve, the DHS will need to continue strengthening coordination between its various sub-agencies as well as other federal, state, and local partners.
2. Technology and information sharing - Advances in technology and the ability to share timely intelligence across organizations will be vital. The DHS must adapt to emerging technologies.
3. Addressing new and evolving threats - As threats change, the DHS needs flexibility to take on new responsibilities and tackle threats such as cybersecurity that have become more prominent.
Other issues
Application of life cycle analysis in the capital 07 17 14Bob Prieto
This presentation was used in a webinar on life cycle analysis conducted for the Construction Management Association of America (CMAA). In it four learning objectives were addressed:
1. Understand what life cycle analysis is and how it is different than life cycle costing
2. Understand why the differences from life cycle costing is increasingly important.
3. Understand relationship with capital asset strategies and the growing importance of capital efficiency as a project driver
4. Some applications of life cycle analysis in the capital asset industry will be touched upon.
The presentation and webinar are further amplified by Application of Life Cycle Analysis in the Capital Assets Industry; Construction Management Association of America (CMAA); June 2013; ISBN 978-1-938014-06-2 (eBook); ISBN 978-1-938014-07-9 (Print)
This document provides a comprehensive literature review and analysis of various traffic prediction techniques. It begins with an abstract that outlines the need for accurate traffic forecasting to address issues caused by increased road traffic. The document then reviews several existing traffic prediction methods and technologies, including fuzzy logic-based systems, intelligent traffic signal controllers, dynamic traffic information systems, and frameworks that utilize IoT, cloud computing, and machine learning. It identifies gaps in current literature, such as a lack of sensor data and advanced application frameworks for prediction. Finally, the document presents several comparison tables analyzing traffic prediction techniques based on the datasets, parameters, merits and demerits of each approach. The overall purpose is to conduct a systematic analysis of past work and identify future research
Crsm 9 2009 Pieter Ballon Vub Market Implications For Different Deploymen...imec.archive
The document discusses different deployment models for a central cognitive enabler (CPC) and evaluates their business viability. It analyzes the CPC concept using a business model framework, identifying three main archetypes - operator CPC, intermediary CPC, and hybrid CPC. Interviews were conducted with mobile operators, telecom vendors, and regulatory experts to assess the strategic fit of each archetype based on control and value parameters. Overall the analysis provides a framework to evaluate the viability of CPC implementations and architectures prior to deployment based on business model considerations and stakeholder assessments.
This document presents a Smart Grid Readiness Self-Assessment Tool (SGR-SAT) developed by the National Smart Grid Mission (NSGM) in India to help utilities evaluate their progress and priorities for grid modernization. The tool covers 6 domains and 24 sub-domains of utility operations. Utilities can use the tool to conduct a self-assessment of their current maturity levels across these areas and set targets to guide smart grid investments and initiatives. The presentation provides an overview of the tool's design, including the domains and maturity levels, and outlines next steps to launch the tool for use by utilities in assessing themselves and learning from peers.
Governing Bot-as-a-Service in Sustainability Platforms - Issues and ApproachesPhú Phùng
Presented at the 9th International Conference on Mobile Web Information Systems, MobiWIS 2012, Niagara Falls, Ontario, Canada, August 27-29, 2012 by Phu Phung
More detail: http://www.cs.uic.edu/~phu/
A technical Introduction to Big Data AnalyticsPethuru Raj PhD
This presentation gives the details about the sources for big data, the value of big data, what to do with big data, the platforms, the infrastructures and the architectures for big data analytics
Socio-Economic Aware Design of Future Network Technology (Y.FNsocioeconomic)ictseserv
The document summarizes a presentation on socio-economic aware design of future network technology. It discusses designing technology to achieve goals like service awareness, data awareness, and environmental awareness. It proposes the structure of a recommendation on socio-economic aware design, including defining tussles among stakeholders and methods for tussle analysis and identification. It provides an example of tussle evolution regarding bandwidth sharing between peer-to-peer users and internet service providers.
The document summarizes the findings of a market research study on logistics planning solutions. It reports that logistics decision makers are looking to upgrade their current solutions within 2 years to incorporate more innovative features like AI-enabled insights. Real-time data consolidation and visibility are the most desired features. Logistics leaders see AI/ML as the most important disruptive technology for enabling cost reductions and improved availability. While well-known solutions are still used, lesser-known solutions featuring innovative technologies are also gaining traction.
From Semantic Interoperability towards Data SpacesH2020 DEMETER
In this presentation, DEMETER representative, Dr Raul Palma discusses the practicalities of realizing data spaces - purpose, challenges and opportunities. This presentation was delivered at the SmartAgriHubs final event in September 2022.
DEMETER is developing the Agriculture Information Model (AIM) which is a data model and ontology that describes all data needed by DEMETER applications and the usage of which ensures semantic interoperability between data and various components.
Seserv workshop costas courcoubetis - introduction to tussle analysis metho...ictseserv
This document discusses a methodology for analyzing conflicts ("tussles") between stakeholders in the socio-economic layer of the internet. It describes a basic socio-economic technology cycle where stakeholders adopt, configure, and use technologies in ways that can lead to unstable outcomes if a tussle result is considered unfair. The methodology involves identifying stakeholder roles and tussles around a functionality, assessing impacts, and considering how choices could spill over and destabilize other functionalities. Design principles are discussed to guide creating protocols that facilitate variation in outcomes and avoid tussle spillovers.
DEMETER - Data Driven Innovation in the Agrifood sectorH2020 DEMETER
In this presentation, Dr Ioanna Roussaki and Dr Raul Palma present the DEMETER concept, objectives and pilots and gives an over of the DEMETER Agricultural Information Model. This was presented at the European Evaluation Helpdesk for Rural Development, Good Practice Workshop in October 2021.
A Framework for Geospatial Web Services for Public Health by Dr. Leslie LenertWansoo Im
A Framework for Geospatial Web Services for Public Health
by Leslie Lenert, MD, MS, FACMI, Director
National Center for Public Health Informatics, CCHIS, CDC
June 8 2009 URISA Public Health Conference
uploaded by Wansoo Im, Ph.D.
URISA Membership Committee Chair
http://www.gisinpublichealth.org
This document discusses using visual analytics techniques on linked data. It begins by motivating the combination of these fields by noting that while linked data services excel at data access, they lack support for complex analytical scenarios. It then provides examples of how visual analytics has been used in other domains like analyzing financial data, patent trends, and simulating biological processes. Finally, it outlines how visual analytics could be applied to linked data, including aggregating and filtering data, implementing analytical workflows, and using visualization techniques to enable discovery and presentation of insights to domain experts. The goal would be supporting collaborative analytical tasks on a global scale.
Big Data technology for systems monitoring in Energy – Big Data Europe BigData_Europe
The document summarizes a workshop on using big data technology for energy system monitoring. It discusses the Big Data Europe project, which aims to develop an open-source big data management platform to address challenges across different domains. Big data can benefit the energy sector through applications like monitoring power infrastructure, forecasting renewable energy production, and managing smart grids. The platform will integrate various data analytics tools to extract insights from large and complex energy datasets.
Socio-Economic Aware Design of Future Network Technology (Y.FNsocioeconomic)ictseserv
The document summarizes a presentation on socio-economically aware design of future networks. It discusses goals of considering socioeconomic factors in technology design to promote long-term success and adoption. A proposed recommendation called Y.FNsocioeconomic provides methods for analyzing how technologies may impact different stakeholders and assessing potential "tussles" between their interests through a tussle analysis meta-method. The presentation concludes by emphasizing the need for engineers to account for socioeconomic aspects when designing technologies.
Socio-Economic Aware Design of Future Network Technology (Y.FNsocioeconomic)ictseserv
The document summarizes a presentation given at an ITU workshop in Kampala, Uganda on April 2, 2012. The presentation discusses the goal of designing future network technologies with socioeconomic awareness. It proposes a structure for a new ITU recommendation called "Y.FNsocioeconomic" to provide methods for achieving socioeconomic design goals and objectives outlined in another ITU recommendation (Y.3001). One such method discussed is tussle analysis, which involves identifying stakeholders, their potential conflicts (tussles), and how those tussles may evolve as technologies are adopted and configured. Bandwidth sharing is provided as an example case of applying tussle analysis.
The document discusses using the Technology Infusion and Maturation Assessment (TIMA) process developed by NASA's Jet Propulsion Laboratory to design and evaluate architectural options for the smart electric power grid in California. TIMA involves identifying key technologies, developing use cases, analyzing risks and barriers, and defining a technology roadmap. The goal is to meet California's energy and climate policy objectives through 2030 and beyond in a cost-effective manner.
PCTY 2012, Risk Based Access Control v. Pat WardropIBM Danmark
Risk-based access uses contextual information like device, location, identity, and behavior to dynamically determine access to resources, complementing traditional static access controls. It considers changing business environments with mobile, cloud, and social aspects. Common context sources are endpoints, identity, environment, resource/action, and behavior. Enforcement can occur at intermediary, container, or application levels. Use cases include enabling secure BYOD access to business applications from any location and providing access based on risk instead of just authentication.
The document discusses a service oriented approach to providing capabilities for joint warfighters through architecture federation. It aims to create a common infrastructure that enables the generation of reusable architecture models depicting operational, system and technical perspectives. This is intended to reduce duplication of effort, encourage collaboration, and improve the speed and efficiency of developing joint capabilities.
1. Coordination across agencies - As threats evolve, the DHS will need to continue strengthening coordination between its various sub-agencies as well as other federal, state, and local partners.
2. Technology and information sharing - Advances in technology and the ability to share timely intelligence across organizations will be vital. The DHS must adapt to emerging technologies.
3. Addressing new and evolving threats - As threats change, the DHS needs flexibility to take on new responsibilities and tackle threats such as cybersecurity that have become more prominent.
Other issues
Application of life cycle analysis in the capital 07 17 14Bob Prieto
This presentation was used in a webinar on life cycle analysis conducted for the Construction Management Association of America (CMAA). In it four learning objectives were addressed:
1. Understand what life cycle analysis is and how it is different than life cycle costing
2. Understand why the differences from life cycle costing is increasingly important.
3. Understand relationship with capital asset strategies and the growing importance of capital efficiency as a project driver
4. Some applications of life cycle analysis in the capital asset industry will be touched upon.
The presentation and webinar are further amplified by Application of Life Cycle Analysis in the Capital Assets Industry; Construction Management Association of America (CMAA); June 2013; ISBN 978-1-938014-06-2 (eBook); ISBN 978-1-938014-07-9 (Print)
This document provides a comprehensive literature review and analysis of various traffic prediction techniques. It begins with an abstract that outlines the need for accurate traffic forecasting to address issues caused by increased road traffic. The document then reviews several existing traffic prediction methods and technologies, including fuzzy logic-based systems, intelligent traffic signal controllers, dynamic traffic information systems, and frameworks that utilize IoT, cloud computing, and machine learning. It identifies gaps in current literature, such as a lack of sensor data and advanced application frameworks for prediction. Finally, the document presents several comparison tables analyzing traffic prediction techniques based on the datasets, parameters, merits and demerits of each approach. The overall purpose is to conduct a systematic analysis of past work and identify future research
Crsm 9 2009 Pieter Ballon Vub Market Implications For Different Deploymen...imec.archive
The document discusses different deployment models for a central cognitive enabler (CPC) and evaluates their business viability. It analyzes the CPC concept using a business model framework, identifying three main archetypes - operator CPC, intermediary CPC, and hybrid CPC. Interviews were conducted with mobile operators, telecom vendors, and regulatory experts to assess the strategic fit of each archetype based on control and value parameters. Overall the analysis provides a framework to evaluate the viability of CPC implementations and architectures prior to deployment based on business model considerations and stakeholder assessments.
This document presents a Smart Grid Readiness Self-Assessment Tool (SGR-SAT) developed by the National Smart Grid Mission (NSGM) in India to help utilities evaluate their progress and priorities for grid modernization. The tool covers 6 domains and 24 sub-domains of utility operations. Utilities can use the tool to conduct a self-assessment of their current maturity levels across these areas and set targets to guide smart grid investments and initiatives. The presentation provides an overview of the tool's design, including the domains and maturity levels, and outlines next steps to launch the tool for use by utilities in assessing themselves and learning from peers.
Governing Bot-as-a-Service in Sustainability Platforms - Issues and ApproachesPhú Phùng
Presented at the 9th International Conference on Mobile Web Information Systems, MobiWIS 2012, Niagara Falls, Ontario, Canada, August 27-29, 2012 by Phu Phung
More detail: http://www.cs.uic.edu/~phu/
A technical Introduction to Big Data AnalyticsPethuru Raj PhD
This presentation gives the details about the sources for big data, the value of big data, what to do with big data, the platforms, the infrastructures and the architectures for big data analytics
Socio-Economic Aware Design of Future Network Technology (Y.FNsocioeconomic)ictseserv
The document summarizes a presentation on socio-economic aware design of future network technology. It discusses designing technology to achieve goals like service awareness, data awareness, and environmental awareness. It proposes the structure of a recommendation on socio-economic aware design, including defining tussles among stakeholders and methods for tussle analysis and identification. It provides an example of tussle evolution regarding bandwidth sharing between peer-to-peer users and internet service providers.
The document summarizes the findings of a market research study on logistics planning solutions. It reports that logistics decision makers are looking to upgrade their current solutions within 2 years to incorporate more innovative features like AI-enabled insights. Real-time data consolidation and visibility are the most desired features. Logistics leaders see AI/ML as the most important disruptive technology for enabling cost reductions and improved availability. While well-known solutions are still used, lesser-known solutions featuring innovative technologies are also gaining traction.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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 you’re 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. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
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. 💻
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. 🖥️
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. 🌟
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4. Sustainability Impact Assessment Tool (SIAT)
an engineering perspective
Peter Verweij
Alterra, Wageningen-UR
www.sensor-ip.org
28/05/2010 http://siat.cgi-systems.nl/SiatGUI/ 4
5. SENSOR project
Develop cross sectoral ex-ante Impact Assessment Tools
to support decision making on policies related
multifunctional land use in EU
Consortium with 39 Research Institutions
15 EU Countries
China, Brasil, Argentina and Uruguay
>100 researchers
Project duration: Dec 2004 – May 2009
Regional scale with European coverage
Constraint: use existing pan-European data
Main product: SIAT for discussion support
http://siat.cgi-systems.nl/SiatGUI 5
6. EU – Impact Assessment
Ex-ante SIA is a procedure accompanying policy development at
European Commission. It is to analyse sustainability impacts and
side effects of an intended policy option
Identify the problem
Define the objectives
Develop main policy options
Analyse their impacts
Compare the options SIAT focus
Outline policy monitoring and evaluation
http://siat.cgi-systems.nl/SiatGUI 6
7. Impact assessment
Ex-ante analysis of impacts of potential policies
Involves determining economic, environmental and
social impacts of policy options
Policy Outlook
Policy Concerns a Impact Carried out for a Possible
objective Assessment (number of) future
Is defined
Can be reached by Compares by a
several
Policy option Indicators Baseline
drives (scoring varies per drives
(defined by policy
spatial entity)
scenario
instruments)
http://siat.cgi-systems.nl/SiatGUI 7
8. Policy
Potential policies are grouped in policy cases
around a number of central themes that are
important in multi-functional land use
Bio-energy
Promotion of production and consumption
Bio-diversity
Conservation of nature areas and in relation to agriculture,
forestry, tourism, etc.
Common Agricultural Policy financial reform
Continuation vs promotion of knowledge economy
Forest strategy
http://siat.cgi-systems.nl/SiatGUI 8
9. Outlook
Extrapolating scenarios for exogenous
parameters (e.g. climate change, or population growth)
Expert judgement to tweak possible trends
Baseline A
Baseline B
Baseline C
Past Present Future
http://siat.cgi-systems.nl/SiatGUI 9
10. Drivers to indicators (1/3)
Drivers Spatial explicit indicators
(e.g. policy, Convert (quantitative and/or
technological innovations, qualitative)
Climate change, population growth)
Conversion in SIAT system by:
Look up indicator values in database
Modeling
(meta) model
Knowledge rule
Chain of models
Mixture of the above
http://siat.cgi-systems.nl/SiatGUI 10
11. Drivers to indicators (2/3)
Convert
Land use
• Summaries of the most
changes
important societal,
[meta model] environmental en economical
aspects of a region
• contain region specific
Indicators
Drivers Impact
sustainability limits per
indicator
indicator (standards, thresholds,
targets,…)
[knowledge rule]
Static
maps Land use
function
[database]
s
[model]
http://siat.cgi-systems.nl/SiatGUI 11
12. Drivers to indicators (3/3)
meta-model sources
Multi-sectoral land use models Sectoral land use models
National
NEMISIS
Sectoral models
(CAPRI
EFISCEN
Nuts 2/3
Etc.)
CLUE
1x1 km2
http://siat.cgi-systems.nl/SiatGUI 12
13. SIAT requirements
Interactive web based tool to estimate the possible
consequences of different policy assumptions on land
use on sustainability within different images of the
future.
Identify areas that are sensitive to particular policies
Identify regional differences and analyse causes
look at potential ‘trade-offs’
Examine the concept of sustainability tolerance limits
undertake all analysis dynamically
Be able to compare different scenarios
Flexible in terms of:
New policies / baselines / target times
Regionalisations (extent and resolution)
Indicators
http://siat.cgi-systems.nl/SiatGUI 13
14. System architecture
SIAT user interface
Messaging Messaging Messaging
Resources
Map services
(e.g. factsheets)
Simulation services
OpenMI Persistence
OpenMI
Model
OpenMI
Model
OpenMI Spatial
Model database
http://siat.cgi-systems.nl/SiatGUI 14