This document discusses the challenges faced by utilities in moving towards a GIS-centric enterprise model. It provides an overview of Capgemini's utilities experience and geospatial capabilities. Regulatory changes in Belgium require utilities to make their network data available in a standardized format. This includes exchanging information through the KLIP and GIPOD portals. Case studies show examples of integrating GIS into asset and project management at a water company, and implementing an enterprise ETL system to consolidate a utility's basemap data.
An accurate, up-to-date model of a utility’s distribution network is the backbone of Smart Grid technologies. But a Schneider Electric survey shows that 74% of utilities are concerned about the readiness of their network model to support Smart Grid applications. This paper presents a quantitative comparison of a Geographic Information System (GIS)–based graphic work design system vs. a CAD-based tool, demonstrating how the GIS-based design approach is better able to keep up with the continuous changes in a dynamic electrical distribution network.
Introduction of GIS & its Applications With R-APDRP Projectdtripathirsgis
Electrical Network from source to the distribution network up to consumer premises, the study area is Loni, Ghaziabad District in the Indian state of Uttar Pradesh. The procedure of the project is first step Digitization of image is carried out in “AutoCAD Map” software. Base map is prepared in DWG file format. Vector data delivers in GIS (Shape file) Format. The Base map prepare for the survey. There are two types of survey, Network survey and Consumer survey. Field survey data integrated using the Arc GIS 9.3Thematic mapping and analysis of the study area.
Rolta Geospatial Fusion is a creative, world-class solution and framework, which melds the data, applications and procedures of a venture into a consistent, firm arrangement. The PDF talks about the utility challenges faced and the solution for those problems. It also states the current applications of the solutions.
8 Ways Utility Networks Can Meet Data DemandsSafe Software
Having a data integration plan is crucial for a successful distribution network, whether it’s for electrical, natural gas, or water utilities. Automated integration processes can preserve data quality, save time, and make information access effortless for everyone.
In this webinar, we’ll showcase 8 ways real utility organizations are using FME to integrate and deliver information for tasks like:
Asset management
Emergency and risk management
Design and planning
Ensuring data quality
Migrating data to other systems (ie. Esri Utility Network)
UAV data collection and AR data visualization
By automatically keeping systems and information up-to-date, you can gain significant time and cost savings, and enable actionable decision-making.
Standard geodata models for Energy Performance of Buildings: experiences from...Piergiorgio Cipriano
Presentation at the workshop "Benchmarking Energy Sustainability in Cities" organised by the Joint Research Centre of the European Commission (Torino, 25/11/2014):
http://iet.jrc.ec.europa.eu/energyefficiency/workshop/benchmarking-energy-sustainability-cities
An accurate, up-to-date model of a utility’s distribution network is the backbone of Smart Grid technologies. But a Schneider Electric survey shows that 74% of utilities are concerned about the readiness of their network model to support Smart Grid applications. This paper presents a quantitative comparison of a Geographic Information System (GIS)–based graphic work design system vs. a CAD-based tool, demonstrating how the GIS-based design approach is better able to keep up with the continuous changes in a dynamic electrical distribution network.
Introduction of GIS & its Applications With R-APDRP Projectdtripathirsgis
Electrical Network from source to the distribution network up to consumer premises, the study area is Loni, Ghaziabad District in the Indian state of Uttar Pradesh. The procedure of the project is first step Digitization of image is carried out in “AutoCAD Map” software. Base map is prepared in DWG file format. Vector data delivers in GIS (Shape file) Format. The Base map prepare for the survey. There are two types of survey, Network survey and Consumer survey. Field survey data integrated using the Arc GIS 9.3Thematic mapping and analysis of the study area.
Rolta Geospatial Fusion is a creative, world-class solution and framework, which melds the data, applications and procedures of a venture into a consistent, firm arrangement. The PDF talks about the utility challenges faced and the solution for those problems. It also states the current applications of the solutions.
8 Ways Utility Networks Can Meet Data DemandsSafe Software
Having a data integration plan is crucial for a successful distribution network, whether it’s for electrical, natural gas, or water utilities. Automated integration processes can preserve data quality, save time, and make information access effortless for everyone.
In this webinar, we’ll showcase 8 ways real utility organizations are using FME to integrate and deliver information for tasks like:
Asset management
Emergency and risk management
Design and planning
Ensuring data quality
Migrating data to other systems (ie. Esri Utility Network)
UAV data collection and AR data visualization
By automatically keeping systems and information up-to-date, you can gain significant time and cost savings, and enable actionable decision-making.
Standard geodata models for Energy Performance of Buildings: experiences from...Piergiorgio Cipriano
Presentation at the workshop "Benchmarking Energy Sustainability in Cities" organised by the Joint Research Centre of the European Commission (Torino, 25/11/2014):
http://iet.jrc.ec.europa.eu/energyefficiency/workshop/benchmarking-energy-sustainability-cities
GIS - A Game Changer For Telecom Providers - Techwave.pdfAnil
GIS can be used to great success in the telecommunications industry, including designing and applying efficient infrastructure to power 5G. Throughout the stages of development, GIS makes each step easier
Demand for the Internet of Things (IoT) is exploding, as more and more companies in a wide range of industries
look to capitalize on the promises of IoT to improve their efficiency and increase their revenues. The opportunity
for satellite to play a role in the IoT ecosystem is here, but the satellite industry has to overcome the challenge of
integrating seamlessly into the complex IoT framework. However, with an appropriate understanding of end-user
needs and careful planning, satellite service providers have the chance to fulfill the unmet, voracious demand for
all things IoT and reap the rewards of this technology’s explosive growth.
Powel presenting the Fingrid ELVIS solution at IAM Infrastructure Asset Manag...Jens Dalsgaard
At the IAM Infrastructure Asset Management Exchange 2015 I had the joy of doing a joint presentation with Marcus Stenstrand on the Fingrid ELVIS solution for electric transmission system operators..
5G POJECT 5
Moving from 4G to 5G
Student’s Name
Institutional Affiliation
Running head: 5G POJECT 1
Moving from 4G to 5G
Part 1
1. Identify and choose a product or service to your project
The project involves moving from 4G to 5G. The increase in data usage necessitates a faster network that meets the current and future needs of customers. While the data bandwidth of 4G technologies is between 2Mbps and 1Gbps, that of 5G technologies is 1Gbps and higher. Additionally, the frequency band of 4G technologies is between 2 and 8 GHz, while that of 5G technologies is between 3 and 300 GHz (Govindasamy, 2015). Unlike 4G which relies on the carrier’s network infrastructure individually, 5G depends on linking numerous carrier streams. The move will utilize the small cells approach to discharge network strains on 4G infrastructure to cover larger areas using coverage densification. Replacing 4G with 5G will address three key needs, which include decreasing latency to less than second, increasing data rates of at least 1GB for every second simultaneously for more users, and increasing energy efficiency (Govindasamy, 2015).
2. Explain: Why it a project:
Moving from 4G to 5G is a project because it requires many phases before a successful deployment and release to the customer for usage. The roll-out phase involves both non-standalone and standalone architectures. The first phase focuses on non-standalone architecture, where the basic network functions are validated. Key performance indicators include control plane latency, user plane latency, and cell peak data rate. The standalone 5G NR architecture is deployed in the last part of the roll-out phase (Marabissi et al., 2018). Key performance indicators related to mobility and handover will be validated, particularly mobility interruption time whose expected value is one second. The project roadmap and timeline will require between 2 and 5 years in order to accomplish a full deployment. Part of the deployment process is Pre 5G to allow a smooth transition from the current 4G to 5G.
3. Scope:
The successful implementation of the technologies require the identification of the participants in the development of the technology, identification of the existing infrastructure implications in the development and deployment of 5G, and identification and study of the potential technical barriers. Bringing together the right experts is critical to the successful completion of the project. It is important to identify the existing infrastructure that would be useful to the project to minimize time and costs without compromising quality. An early identification of technical barriers facilitates the determination of approaches to counter the barriers.
Part 2
Object ...
An insightful and visionary speech about the future of smart city by Mr. Ronald RAFFENSPERGER, Chief Technology Officer, Data Center Solution Sales, Huawei Technologies Company Limited
With the world’s supply chain system in crisis, it’s clear that better solutions are needed. Digital twins built on knowledge graph technology allow you to achieve an end-to-end view of the process, supporting real-time monitoring of critical assets.
¿En qué se parece el Gobierno del Dato a un parque de atracciones?Denodo
Watch full webinar here: https://bit.ly/3Ab9gYq
Imagina llegar a un parque de atracciones con tu familia y comenzar tu día sin el típico plano que te permitirá planificarte para saber qué espectáculos ver, a qué atracciones ir, donde pueden o no pueden montar los niños… Posiblemente, no podrás sacar el máximo partido a tu día y te habrás perdido muchas cosas. Hay personas que les gusta ir a la aventura e ir descubriendo poco a poco, pero cuando hablamos de negocios, ir a la aventura puede ser fatídico...
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de esa información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos, herramienta estratégica para implementar y optimizar el gobierno del dato, permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
En este webinar aprenderás a:
- Acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
GIS - A Game Changer For Telecom Providers - Techwave.pdfAnil
GIS can be used to great success in the telecommunications industry, including designing and applying efficient infrastructure to power 5G. Throughout the stages of development, GIS makes each step easier
Demand for the Internet of Things (IoT) is exploding, as more and more companies in a wide range of industries
look to capitalize on the promises of IoT to improve their efficiency and increase their revenues. The opportunity
for satellite to play a role in the IoT ecosystem is here, but the satellite industry has to overcome the challenge of
integrating seamlessly into the complex IoT framework. However, with an appropriate understanding of end-user
needs and careful planning, satellite service providers have the chance to fulfill the unmet, voracious demand for
all things IoT and reap the rewards of this technology’s explosive growth.
Powel presenting the Fingrid ELVIS solution at IAM Infrastructure Asset Manag...Jens Dalsgaard
At the IAM Infrastructure Asset Management Exchange 2015 I had the joy of doing a joint presentation with Marcus Stenstrand on the Fingrid ELVIS solution for electric transmission system operators..
5G POJECT 5
Moving from 4G to 5G
Student’s Name
Institutional Affiliation
Running head: 5G POJECT 1
Moving from 4G to 5G
Part 1
1. Identify and choose a product or service to your project
The project involves moving from 4G to 5G. The increase in data usage necessitates a faster network that meets the current and future needs of customers. While the data bandwidth of 4G technologies is between 2Mbps and 1Gbps, that of 5G technologies is 1Gbps and higher. Additionally, the frequency band of 4G technologies is between 2 and 8 GHz, while that of 5G technologies is between 3 and 300 GHz (Govindasamy, 2015). Unlike 4G which relies on the carrier’s network infrastructure individually, 5G depends on linking numerous carrier streams. The move will utilize the small cells approach to discharge network strains on 4G infrastructure to cover larger areas using coverage densification. Replacing 4G with 5G will address three key needs, which include decreasing latency to less than second, increasing data rates of at least 1GB for every second simultaneously for more users, and increasing energy efficiency (Govindasamy, 2015).
2. Explain: Why it a project:
Moving from 4G to 5G is a project because it requires many phases before a successful deployment and release to the customer for usage. The roll-out phase involves both non-standalone and standalone architectures. The first phase focuses on non-standalone architecture, where the basic network functions are validated. Key performance indicators include control plane latency, user plane latency, and cell peak data rate. The standalone 5G NR architecture is deployed in the last part of the roll-out phase (Marabissi et al., 2018). Key performance indicators related to mobility and handover will be validated, particularly mobility interruption time whose expected value is one second. The project roadmap and timeline will require between 2 and 5 years in order to accomplish a full deployment. Part of the deployment process is Pre 5G to allow a smooth transition from the current 4G to 5G.
3. Scope:
The successful implementation of the technologies require the identification of the participants in the development of the technology, identification of the existing infrastructure implications in the development and deployment of 5G, and identification and study of the potential technical barriers. Bringing together the right experts is critical to the successful completion of the project. It is important to identify the existing infrastructure that would be useful to the project to minimize time and costs without compromising quality. An early identification of technical barriers facilitates the determination of approaches to counter the barriers.
Part 2
Object ...
An insightful and visionary speech about the future of smart city by Mr. Ronald RAFFENSPERGER, Chief Technology Officer, Data Center Solution Sales, Huawei Technologies Company Limited
With the world’s supply chain system in crisis, it’s clear that better solutions are needed. Digital twins built on knowledge graph technology allow you to achieve an end-to-end view of the process, supporting real-time monitoring of critical assets.
¿En qué se parece el Gobierno del Dato a un parque de atracciones?Denodo
Watch full webinar here: https://bit.ly/3Ab9gYq
Imagina llegar a un parque de atracciones con tu familia y comenzar tu día sin el típico plano que te permitirá planificarte para saber qué espectáculos ver, a qué atracciones ir, donde pueden o no pueden montar los niños… Posiblemente, no podrás sacar el máximo partido a tu día y te habrás perdido muchas cosas. Hay personas que les gusta ir a la aventura e ir descubriendo poco a poco, pero cuando hablamos de negocios, ir a la aventura puede ser fatídico...
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de esa información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos, herramienta estratégica para implementar y optimizar el gobierno del dato, permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
En este webinar aprenderás a:
- Acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
2. Joep Luijten & Jan Van de Steen
Capgemini Belgium
25 April 2012, GWF 2012
Challenges faced by the utilities industry:
moving towards a GIS-centric enterprise