Process and steps that are followed in creation of successful visualization. Taking an example of Encyclopaedia of life data and tableu visualization prototype
3DIR: Exploiting Topological Relationships in Three-dimensional Information R...pdemian
These slides are to accompany the paper presented at the ICCCBE2016 conference in July 2016 in Osaka, Japan. They describe the development of the 3DIR app for Revit. 3DIR was augmented to exploit topological relationships in the building model.
Process and steps that are followed in creation of successful visualization. Taking an example of Encyclopaedia of life data and tableu visualization prototype
3DIR: Exploiting Topological Relationships in Three-dimensional Information R...pdemian
These slides are to accompany the paper presented at the ICCCBE2016 conference in July 2016 in Osaka, Japan. They describe the development of the 3DIR app for Revit. 3DIR was augmented to exploit topological relationships in the building model.
Spatiotemporal Knowledge Visualization and Discovery in Dynamic Social Networks Ralf Klamma
Spatiotemporal Knowledge Visualization and Discovery in Dynamic Social Networks
Ralf Klamma, Yiwei Cao, Marc Spaniol, Yan Leng
Graz, Austria, 5-7 of September, 2007
Informatik 5, RWTH Aachen University, Germany
Visual interactive analytics across large scale multi-user work environments. Moving information off the 'flatland' page into an environment where the power of ontologies and smart data allow one click access to quantitative data (vs. today's searching through text based pages and spreadsheets).
A Study on Data Visualization Techniques of Spatio Temporal DataIJMTST Journal
Data visualization is an important tool to analyze complex Spatio Temporal data. The spatio-temporal data
can be visualized using 2D, 3D or any other type of maps. Cartography is the major technique used in
mapping. The data can also be visualized by placing different layers of maps one on other, which is done by
using GIS. Many data visualization techniques are in trend but the usage of the techniques must be decided
by considering the application requirements.
It is the research summary presentation for the partial fulfillment of the subject Directed Studies and Seminar conducted in final year of Department of Architecture Central Campus Pulchowk.
Provenance Analytics at AAAI Human Computation Conference 2013T Dong Huynh
Trung Dong Huynh presenting the paper entitled "Interpretation of Crowdsourced Activities using Provenance Network Analysis" - How analysing provenance graphs can help interpreting crowdsouced activities in CollabMap
Applicability of big data techniques to smart cities deploymentsNexgen Technology
GET IEEE BIG DATA,JAVA ,DOTNET,ANDROID ,NS2,MATLAB,EMBEDED AT LOW COST WITH BEST QUALITY PLEASE CONTACT BELOW NUMBER
FOR MORE INFORMATION PLEASE FIND THE BELOW DETAILS:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com
Mobile: 9791938249
Telephone: 0413-2211159
www.nexgenproject.com
Incontro del 23/05/2018
Nowadays graph visualization and analysis is a fundamental tool for developers, analysts, business executives, and really anyone who needs to understand his data in order to extract information from it and see all the present interactions. Unfortunately, most graph visualization tools do not have the ability to integrate with a relational database. Arcade Analytics is a graph visualization tool that enables users to have more control over their data: it sits on top of the user's database and allows the users to query data and show it in a graph. One of the most attractive features of Arcade Analytics is that it allows users to query data from a relational database and visualize the relational database content as a graph. Arcade's RDBMS connector allows users to perform a graph analysis over your RDBMS without any migration, in this way you can visually inspect relationships and connections within your RDBMS and treat your data as a graph.
Speaker: Gabriele Ponzi
An efficient framework for generating storyline visualizations from streaming...LeMeniz Infotech
An efficient framework for generating storyline visualizations from streaming data
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
2016 D-STOP Symposium ("Smart Cities") session by CTR's Jen Duthie. Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
Spatiotemporal Knowledge Visualization and Discovery in Dynamic Social Networks Ralf Klamma
Spatiotemporal Knowledge Visualization and Discovery in Dynamic Social Networks
Ralf Klamma, Yiwei Cao, Marc Spaniol, Yan Leng
Graz, Austria, 5-7 of September, 2007
Informatik 5, RWTH Aachen University, Germany
Visual interactive analytics across large scale multi-user work environments. Moving information off the 'flatland' page into an environment where the power of ontologies and smart data allow one click access to quantitative data (vs. today's searching through text based pages and spreadsheets).
A Study on Data Visualization Techniques of Spatio Temporal DataIJMTST Journal
Data visualization is an important tool to analyze complex Spatio Temporal data. The spatio-temporal data
can be visualized using 2D, 3D or any other type of maps. Cartography is the major technique used in
mapping. The data can also be visualized by placing different layers of maps one on other, which is done by
using GIS. Many data visualization techniques are in trend but the usage of the techniques must be decided
by considering the application requirements.
It is the research summary presentation for the partial fulfillment of the subject Directed Studies and Seminar conducted in final year of Department of Architecture Central Campus Pulchowk.
Provenance Analytics at AAAI Human Computation Conference 2013T Dong Huynh
Trung Dong Huynh presenting the paper entitled "Interpretation of Crowdsourced Activities using Provenance Network Analysis" - How analysing provenance graphs can help interpreting crowdsouced activities in CollabMap
Applicability of big data techniques to smart cities deploymentsNexgen Technology
GET IEEE BIG DATA,JAVA ,DOTNET,ANDROID ,NS2,MATLAB,EMBEDED AT LOW COST WITH BEST QUALITY PLEASE CONTACT BELOW NUMBER
FOR MORE INFORMATION PLEASE FIND THE BELOW DETAILS:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com
Mobile: 9791938249
Telephone: 0413-2211159
www.nexgenproject.com
Incontro del 23/05/2018
Nowadays graph visualization and analysis is a fundamental tool for developers, analysts, business executives, and really anyone who needs to understand his data in order to extract information from it and see all the present interactions. Unfortunately, most graph visualization tools do not have the ability to integrate with a relational database. Arcade Analytics is a graph visualization tool that enables users to have more control over their data: it sits on top of the user's database and allows the users to query data and show it in a graph. One of the most attractive features of Arcade Analytics is that it allows users to query data from a relational database and visualize the relational database content as a graph. Arcade's RDBMS connector allows users to perform a graph analysis over your RDBMS without any migration, in this way you can visually inspect relationships and connections within your RDBMS and treat your data as a graph.
Speaker: Gabriele Ponzi
An efficient framework for generating storyline visualizations from streaming...LeMeniz Infotech
An efficient framework for generating storyline visualizations from streaming data
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
2016 D-STOP Symposium ("Smart Cities") session by CTR's Jen Duthie. Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
IES Faculty – Part L, EPC’s & the VE (Part 1)IES VE
IES Faculty – London, 7th March 2012
Niall Gibson presents at IES Faculty - Part L, EPCs & the VE. Session 1 covers how The Building Regulations have evolved since the introduction of the EPBD; the current situation and what the future holds and specialist advice on the changes.
BIFM Event: Intelligent Big Data in Building Facilities & ServicesIES VE
Mark Gifford, Consultancy Development Manager at IES, presented on the application and status of Intelligent Big Data in the fields of building facilities and services at the BIFM Scotland Region half day training event.
Synthesis and Refinement of Artificial HVAC Sensor Data Intended for Supervis...IES VE
IES' David McCabe presented at the 9th International Conference Improving Energy Efficiency in Commercial Buildings and Smart Communities (IEECB&SC’16) in Frankfurt on 16th March 2016.
This presentation was in support of a paper published by IES R&D in conjunction with the EINSTEIN project. The paper can be viewed here: http://www.iesve.com/corporate/media-center/white-papers/general/hvac-afdd-jun2016.pdf
IES' Nick Purshouse presented an overview of the NewTREND project (New integrated methodology and Tools for Retrofit design towards a next generation of Energy efficient and sustainable buildings and District) at the All Energy Conference 2016.
If you are serious to loss weight without extra exercise or extra diet than you must try this supplement. Its helps you to done both with many other benefits.
Con más de 360 millones de usuarios LinkedIn es una red orientada al uso de profesionales en el mundo. En ella puedes hacer contactos, buscar y ofertar trabajo, actualizarte o mercadearte.
Tienes tantas opciones en LinkedIn que a veces puede ser abrumadora. Te presento 9 estrategias sencillas para que el uso de LinkedIn se te haga fácil y contribuya a tu éxito profesional.
BIG IOT AND SOCIAL NETWORKING DATA FOR SMART CITIES Alg.docxjasoninnes20
BIG IOT AND SOCIAL NETWORKING DATA FOR SMART
CITIES:
Algorithmic improvements on Big Data Analysis in the context of RADICAL city
applications
Evangelos Psomakelis12,Fotis Aisopos1, Antonios Litke1, Konstantinos Tserpes21, Magdalini
Kardara1 and Pablo Martínez Campo3
1Distributed Knowledge and Media Systems Group, National Technical University of Athens, Zografou Campus, Athens,
Greece
2Informatics and Telematics Dept, Harokopio University of Athens, Greece
3Communications Engineering department, University of Cantabria, Santander, Spain
{fotais, litke, nkardara, tserpes, vpsomak}@mail.ntua.gr,[email protected]
Keywords: Internet of Things, Social Networking, Big Data Aggregation and Analysis, Smart City applications,
Sentiment Analysis, Machine Learning
Abstract: In this paper we present a SOA (Service Oriented Architecture)-based platform, enabling the retrieval and
analysis of big datasets stemming from social networking (SN) sites and Internet of Things (IoT) devices,
collected by smart city applications and socially-aware data aggregation services. A large set of city
applications in the areas of Participating Urbanism, Augmented Reality and Sound-Mapping throughout
participating cities is being applied, resulting into produced sets of millions of user-generated events and
online SN reports fed into the RADICAL platform. Moreover, we study the application of data analytics such
as sentiment analysis to the combined IoT and SN data saved into an SQL database, further investigating
algorithmic and configurations to minimize delays in dataset processing and results retrieval.
1 INTRODUCTION
Modern cities are increasingly turning towards
ICT technology for confronting pressures associated
with demographic changes, urbanization, climate
change (Romero Lankao, 2008) and globalization.
Therefore, most cities have undertaken significant
investments during the last decade in ICT
infrastructure including computers, broadband
connectivity and recently sensing infrastructures.
These infrastructures have empowered a number of
innovative services in areas such as participatory
sensing, urban logistics and ambient assisted living.
Such services have been extensively deployed in
several cities, thereby demonstrating the potential
benefits of ICT infrastructures for businesses and the
citizens themselves. During the last few years we
have also witnessed an explosion of sensor
deployments and social networking services, along
with the emergence of social networking (Conti et al.,
2011) and internet‐of‐things technologies (Perera et
al., 2013; Sundmaeker et al., 2010) Social and sensor
networks can be combined in order to offer a variety
of added‐value services for smart cities, as has
already been demonstrated by various early internet‐
of‐things applications (such as WikiCity(Calabrese et
al., 2007), CitySense(Murty et al., 2007),
GoogleLatitude(Page and Kobsa, 2010)), as ...
BIG IOT AND SOCIAL NETWORKING DATA FOR SMART CITIES Alg.docxtangyechloe
BIG IOT AND SOCIAL NETWORKING DATA FOR SMART
CITIES:
Algorithmic improvements on Big Data Analysis in the context of RADICAL city
applications
Evangelos Psomakelis12,Fotis Aisopos1, Antonios Litke1, Konstantinos Tserpes21, Magdalini
Kardara1 and Pablo Martínez Campo3
1Distributed Knowledge and Media Systems Group, National Technical University of Athens, Zografou Campus, Athens,
Greece
2Informatics and Telematics Dept, Harokopio University of Athens, Greece
3Communications Engineering department, University of Cantabria, Santander, Spain
{fotais, litke, nkardara, tserpes, vpsomak}@mail.ntua.gr,[email protected]
Keywords: Internet of Things, Social Networking, Big Data Aggregation and Analysis, Smart City applications,
Sentiment Analysis, Machine Learning
Abstract: In this paper we present a SOA (Service Oriented Architecture)-based platform, enabling the retrieval and
analysis of big datasets stemming from social networking (SN) sites and Internet of Things (IoT) devices,
collected by smart city applications and socially-aware data aggregation services. A large set of city
applications in the areas of Participating Urbanism, Augmented Reality and Sound-Mapping throughout
participating cities is being applied, resulting into produced sets of millions of user-generated events and
online SN reports fed into the RADICAL platform. Moreover, we study the application of data analytics such
as sentiment analysis to the combined IoT and SN data saved into an SQL database, further investigating
algorithmic and configurations to minimize delays in dataset processing and results retrieval.
1 INTRODUCTION
Modern cities are increasingly turning towards
ICT technology for confronting pressures associated
with demographic changes, urbanization, climate
change (Romero Lankao, 2008) and globalization.
Therefore, most cities have undertaken significant
investments during the last decade in ICT
infrastructure including computers, broadband
connectivity and recently sensing infrastructures.
These infrastructures have empowered a number of
innovative services in areas such as participatory
sensing, urban logistics and ambient assisted living.
Such services have been extensively deployed in
several cities, thereby demonstrating the potential
benefits of ICT infrastructures for businesses and the
citizens themselves. During the last few years we
have also witnessed an explosion of sensor
deployments and social networking services, along
with the emergence of social networking (Conti et al.,
2011) and internet‐of‐things technologies (Perera et
al., 2013; Sundmaeker et al., 2010) Social and sensor
networks can be combined in order to offer a variety
of added‐value services for smart cities, as has
already been demonstrated by various early internet‐
of‐things applications (such as WikiCity(Calabrese et
al., 2007), CitySense(Murty et al., 2007),
GoogleLatitude(Page and Kobsa, 2010)), as.
BIG IOT AND SOCIAL NETWORKING DATA FOR SMART CITIES Alg.docxhartrobert670
BIG IOT AND SOCIAL NETWORKING DATA FOR SMART
CITIES:
Algorithmic improvements on Big Data Analysis in the context of RADICAL city
applications
Evangelos Psomakelis12,Fotis Aisopos1, Antonios Litke1, Konstantinos Tserpes21, Magdalini
Kardara1 and Pablo Martínez Campo3
1Distributed Knowledge and Media Systems Group, National Technical University of Athens, Zografou Campus, Athens,
Greece
2Informatics and Telematics Dept, Harokopio University of Athens, Greece
3Communications Engineering department, University of Cantabria, Santander, Spain
{fotais, litke, nkardara, tserpes, vpsomak}@mail.ntua.gr,[email protected]
Keywords: Internet of Things, Social Networking, Big Data Aggregation and Analysis, Smart City applications,
Sentiment Analysis, Machine Learning
Abstract: In this paper we present a SOA (Service Oriented Architecture)-based platform, enabling the retrieval and
analysis of big datasets stemming from social networking (SN) sites and Internet of Things (IoT) devices,
collected by smart city applications and socially-aware data aggregation services. A large set of city
applications in the areas of Participating Urbanism, Augmented Reality and Sound-Mapping throughout
participating cities is being applied, resulting into produced sets of millions of user-generated events and
online SN reports fed into the RADICAL platform. Moreover, we study the application of data analytics such
as sentiment analysis to the combined IoT and SN data saved into an SQL database, further investigating
algorithmic and configurations to minimize delays in dataset processing and results retrieval.
1 INTRODUCTION
Modern cities are increasingly turning towards
ICT technology for confronting pressures associated
with demographic changes, urbanization, climate
change (Romero Lankao, 2008) and globalization.
Therefore, most cities have undertaken significant
investments during the last decade in ICT
infrastructure including computers, broadband
connectivity and recently sensing infrastructures.
These infrastructures have empowered a number of
innovative services in areas such as participatory
sensing, urban logistics and ambient assisted living.
Such services have been extensively deployed in
several cities, thereby demonstrating the potential
benefits of ICT infrastructures for businesses and the
citizens themselves. During the last few years we
have also witnessed an explosion of sensor
deployments and social networking services, along
with the emergence of social networking (Conti et al.,
2011) and internet‐of‐things technologies (Perera et
al., 2013; Sundmaeker et al., 2010) Social and sensor
networks can be combined in order to offer a variety
of added‐value services for smart cities, as has
already been demonstrated by various early internet‐
of‐things applications (such as WikiCity(Calabrese et
al., 2007), CitySense(Murty et al., 2007),
GoogleLatitude(Page and Kobsa, 2010)), as ...
OSi Geographic Information Research & Development Initiatives Launch
Ordnance Survey Ireland GI R&D Initiatives
Tuesday, 22 March 2016, 13:00 to 20:30 (GMT) , Maynooth University
Application of knowledge graphs for creating a library of reusable knowledge ...Digital City Planner Oy
Our presentation at the Conference on Digital Curation Technologies (Qurator 2022), Berlin, Germany, Sept. 19th-23rd, 2022.
Abstract
Knowledge reuse can increase the quality and efficiency of different activities, as well as reduce risks. The digital transformation of a city is a complex task that requires new approaches and management technologies. Knowledge reuse can reinforce city digital transformation initiatives, e.g. data integration and modeling activities can be improved via ontology reuse, design and development of digital solutions can be enhanced via reference architectures and reuse of existing methods and systems. Such reuse can speed up the work of city development managers, digital architects, and other ICT specialists, as well as decrease costs and risks. Although there are platforms for knowledge sharing and reuse within the smart city domain, they apply a traditional document-oriented approach to knowledge representation. This limits knowledge integration and the creation of intelligent services. So, knowledge graph technology was selected for collecting and curating digital city planning reusable content. The Open Research Knowledge Graph (ORKG) provided an opportunity for piloting this approach. The current paper will overview the digital city planning observatory within the ORKG, including main knowledge representation mechanisms and representative content examples, and provide the link between content and application scenarios.
For more details see the corresponding paper in the proceedings: http://ceur-ws.org/Vol-3234/paper3.pdf
Large scale data analytics for smart cities and related use casesPayamBarnaghi
Invited talk, Large scale data analytics for smart cities and related use cases, The 5th EU-Japan Symposium on ICT Research and Innovation, October 2014, European Commission, Brussels, Belgium.
Graph Centric Analysis of Road Network Patterns for CBD’s of Metropolitan Cit...Punit Sharnagat
OSMnx is a Python package to retrieve, model, analyze, and visualize street networks from OpenStreetMap.
OpenStreetMap (OSM) is a collaborative mapping project that provides a free and publicly editable map of the world.
OpenStreetMap provides a valuable crowd-sourced database of raw geospatial data for constructing models of urban street networks for scientific analysis
Analysis and assessment software for multi-user collaborative cognitive radi...IJECEIAES
Computer simulations are without a doubt a useful methodology that allows to explore research queries and develop prototypes at lower costs and timeframes than those required in hardware processes. The simulation tools used in cognitive radio networks (CRN) are undergoing an active process. Currently, there is no stable simulator that enables to characterize every element of the cognitive cycle and the available tools are a framework for discrete-event software. This work presents the spectral mobility simulator in CRN called “App MultiColl-DCRN”, developed with MATLAB’s app designer. In contrast with other frameworks, the simulator uses real spectral occupancy data and simultaneously analyzes features regarding spectral mobility, decision-making, multi-user access, collaborative scenarios and decentralized architectures. Performance metrics include bandwidth, throughput level, number of failed handoffs, number of total handoffs, number of handoffs with interference, number of anticipated handoffs and number of perfect handoffs. The assessment of the simulator involves three scenarios: the first and second scenarios present a collaborative structure using the multi-criteria optimization and compromise solution (VIKOR) decision-making model and the naïve Bayes prediction technique respectively. The third scenario presents a multi-user structure and uses simple additive weighting (SAW) as a decision-making technique. The present development represents a contribution in the cognitive radio network field since there is currently no software with the same features.
FUTURISTIC TECHNOLOGY IN ARCHITECTURE & PLANNING - AUGMENTED AND VIRTUAL REAL...ijscai
Speed has become a way of life. We are asymptotically piling data. Speed can be achieved with new design
processes, techniques, and Technology. Innovations AR and VR are just some of the many forms of
technologies that will play a key role in shaping the Architecture and Planning of tomorrow, making it
future-ready and ushering in a new age of innovation. AR and VR in Architecture & Planning were
introduced as assisting tools and has helped generate multiple design options, expanded possibilities of
visualization, and provided us with more enhanced, detailed, and specific experience in real-time; enabling
us to see the resultsof work on hand well before the commencement of the project. These tools are further
developed for city development decisions, helping citizens interact with local authorities, access public
services, and plan their commute. After reviewing multiple research papers, it had been observed that each
one is moving forward with the changes brought by it, without entirely understanding its role. This paper
provides a summary of theappliance of AR & VR in architecture and planning.
FUTURISTIC TECHNOLOGY IN ARCHITECTURE & PLANNING - AUGMENTED AND VIRTUAL REAL...ijscai
Speed has become a way of life. We are asymptotically piling data. Speed can be achieved with new design
processes, techniques, and Technology. Innovations AR and VR are just some of the many forms of
technologies that will play a key role in shaping the Architecture and Planning of tomorrow, making it
future-ready and ushering in a new age of innovation. AR and VR in Architecture & Planning were
introduced as assisting tools and has helped generate multiple design options, expanded possibilities of
visualization, and provided us with more enhanced, detailed, and specific experience in real-time; enabling
us to see the resultsof work on hand well before the commencement of the project. These tools are further
developed for city development decisions, helping citizens interact with local authorities, access public
services, and plan their commute. After reviewing multiple research papers, it had been observed that each
one is moving forward with the changes brought by it, without entirely understanding its role. This paper
provides a summary of theappliance of AR & VR in architecture and planning.
FUTURISTIC TECHNOLOGY IN ARCHITECTURE & PLANNING - AUGMENTED AND VIRTUAL REAL...ijscai
Speed has become a way of life. We are asymptotically piling data. Speed can be achieved with new design
processes, techniques, and Technology. Innovations AR and VR are just some of the many forms of
technologies that will play a key role in shaping the Architecture and Planning of tomorrow, making it
future-ready and ushering in a new age of innovation. AR and VR in Architecture & Planning were
introduced as assisting tools and has helped generate multiple design options, expanded possibilities of
visualization, and provided us with more enhanced, detailed, and specific experience in real-time; enabling
us to see the resultsof work on hand well before the commencement of the project. These tools are further
developed for city development decisions, helping citizens interact with local authorities, access public
services, and plan their commute. After reviewing multiple research papers, it had been observed that each
one is moving forward with the changes brought by it, without entirely understanding its role. This paper
provides a summary of theappliance of AR & VR in architecture and planning.
Markovian Modeling of Urban Traffic Flows in Coexistence With Urban Data StreamsVahid Moosavi
Related Publication: Vahid, Moosavi and Ludger Hovestadt. “Modeling urban traffic dynamics in coexistence with urban data streams.” Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing. ACM, 2013.
Finding Candidate Locations for Aerosol Pollution Monitoring at Street Level ...Vahid Moosavi
Presented at MIT CENSAM Workshop on June 2014 as a part of collaborative project between ETH and MIT in Singapore.
Air pollution at street level: http://censam.mit.edu/research/Pages/Characterization%20of%20airborne%20particles%20in%20outdoor%20environments%20of%20Singapore.aspx
related publication: http://www.atmos-meas-tech.net/8/3563/2015/
poster:http://censam.mit.edu/research/CENSAM%20Publications/Urban/Characterization%20of%20airborne%20particles%20in%20outdoor%20environments%20of%20Singapore/Vahid%20poster.pdf
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
How world-class product teams are winning in the AI era by CEO and Founder, P...
Bi g data_urban modeling_applications_23092013
1. Urban Modeling Using Big Data
http://www.ad-exchange.fr/
Vahid Moosavi
Researcher at Future Cities Laboratory
PhD Student at Chair for Computer Aided Architectural Design (CAAD), ETH Zurich,
Ludger Hovestadt
23 September 2013
SEC
svm@arch.ethz.ch
2. Outline
• Our understanding of Big Data and its applications
• My research interests related to data driven modeling
• Possible Collaborations
3. Big Data Landscape and My Research Interests
(How to go beyond simple data analytics toward a new data literacy)
Practical Application Domains
Data Management
Data-Driven Modeling Technologies
Complex Event Processing
Information Visualization
Clustering and Grouping
Data Management and Data Processing
Signal Processing /Time
Series Forecasting
Data-Infrastructures
• My research focus areas with red color
Prediction and Classification
4. Self Organizing Map (SOM) : A generic setup, playing with
symbolic indexes
Informational Space
• SOM acts as a
multidimensional sorting
system
Physical Space
(Imaginary)
Somehow similar to the idea of Cartesian
Dualism
Teuvo Kohonen
5. SOM as a social Machine
Specific Modeling with a specific curve
Pre-specific modeling with any potential curve
5
6. SOM: Formal products
Then, we can do any kind of prediction/classification, pattern recognition, time series
analysis
6
8. Case 1: Pre-Specific City Modeling
Footprint of buildings in
Orchard area,
Singapore
Similar
buildings are
in the same
area of SOM
Matthias Standfest, Vahid Moosavi ,
Design Modelling Symposium
8
Berlin 2013
9. Case 2: Data Driven Modeling of a Manufacturing Process
Designed
Experiments
(Data Farming)
How to optimize the
process variables for
different product specs?
A practical look up table for the
operator
Saraee, Mohamad, Vahid Moosavi, and Shabnam Rezapour. "Application of Self
Organizing Map (SOM) to model a machining process."Journal of Manufacturing
9
Technology Management 22.6 (2011): 818-830.
10. Case 3: Data Driven Modeling of Urban Air Quality (Rochor Area, Singapore)
Building Structural Features
Land Use Features
Urban Network Features
Different Pollutants
241 measurement points in the city
More than 3000 points without measurements
10
11. Case 3: Data Driven Modeling of Urban Air Quality (Rochor Area, Singapore)
Finding the main Clusters of
similar points
Center of the clusters as the
potential measurement stations
Predicting the pollution level
without any direct measurement
241 measurement points
More than 3000 points without
measurements
11
12. Some of the Potential Applications for collaboration
13. 1- A Generic Setup for Text Modeling in Association With Other Data Streams
(How to gain insight from lots of low-economic value data?)
Sentiment Analysis
Text Processing
Prediction and classification
Search APIs
Pattern recognition
Markov Chain
SOM
Text Modeling
Text Streams
Real estate
movement traces Stock Market
Smart Grid
Quantitative Data
Decision
Making
14. Enterprise Knowledge Modeling Using Text Archives (As a potential
software solution)
1. Using Historical reports through digital
archives
2. Finding the main (similar) knowledge pools
in the organizations
3. Modeling the strategic trends and strategic
focus of the company
4. Finding the informal (hidden) networks of
potential collaborations between human
resources
14
15. Urban Energy Modeling (Singapore Case)
Just as a sample
Energy
Consumptions
Future Steps
(Smart Grid Applications)
Smart Meter
records
Gas and
Electricity
Demand
Forecasting
Design
Building Information
Land Use
History
Customer
Segmentations
•
•
•
•
Load Forecasting
Theft Detection
Dynamic Pricing
Distribution
Optimization
• And Capacity Planning
Land use
Urban Information
Weather
Analytics
Household
Demographics
15
16. Conclusion
• Some applications of data driven modeling
• Potential collaborations
– A generic text modeling framework : Enterprise Knowledge Modeling
– Urban Energy Modeling
