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Training Course Snap4City - 2023 Edition

Interactive Overview of the platform: https://www.snap4city.org/944

References, Citations and references of Snap4City and Km4City, last versions

    

Please start a fully guided training cases:

• HOW TO: create a Dashboard in Snap4City
• HOW TO: add a device to the Snap4City Platform
• HOW TO: add data sources to the Snap4City Platform
• HOW TO: define privacy rules for personal data, produced by the end-users own device
• HOW TO: Develop Smart Applications, Snap4City development Life Cycle
• HOW TO: HLT vs Ingestion, and HLT vs Widgets
• HOW TO: Develop an IOT Application for Data Ingestion
• HOW TO: Upload data into Knowledge Base, ServiceMap (triple upload)
• HOW TO: Create as set of Devices with BulkProcessing
• HOW TO: Create an IOT Device Model
• HOW TO: Create an IOT Device Instance from IOT Directory tool
• HOW TO: save / export a MyKPI data into a CSV file
• HOW TO: develop DataAnalytic in Python and manage them via IOT App
• HOW TO: customize AIRQino IOT Device to work on Snap4City
• HOW TO: setup Libelium Waspmote Plug&Sense Smart Environment IOT Device to work on Snap4City
• MicroServices Suite for Smart City Applications
• HOW TO: create subflow and groups into IOT Applications, Node-RED
• HOW TO: Manage IOT Network Components on Snap4City
• HOW TO: Federation of Smart Cities, by federating Smart City API and Knowledge Base
• HOW TO: Deploy & Installation of Snap4City DataCity-Large 2020
• HOW TO: cope with Typical Time Trends
• HOW TO: manage a calendar Widget
• Form Widget on Dashboard and IoT Applications
• HOW TO: use and control the Widget Data Cube, OLAP
• HOW TO: work on ServiceMap for developers
• HOW TO: sizing your Snap4City Solution on private or public Clouds
• HOW TO: create an organization on Drupal CRM for Snap4City
• How to: send voice messages on dashboards
• HOW TO: Federating Smart Cities, Super Servicemap, Knowledge Bases
• HOW TO: Develop a Theme for Dashboards
• HOWTO: Extended delegation capabilities of IOT Devices
• HOW TO: Use a FIWARE Smart Data Model for creating devices
• HOWTO: MultiDataMap for Origin-Destination Matrices
• HOWTO: Exploit the new DeviceTable widget to show data on a table format.
• HOW TO: activate tridimensional view on Dashboards, 3D views on Dashboards
• HOW TO: set email notification from IoT Apps
• HOW TO: TV Cam Manager, based on Kurento and Turn
• HOWTO: APIMAN manage API accounting: smart city API, broker API, etc.
• HOWTO: Python interoperability with Snap4City, smart city API
• HOW TO: Perform Fast Data Loading in Python
• Index: CSBL Client Side Business Logic - Widget Manual for Business Intelligence
• How To Dev - Index of documents/web pages on how to Develop smart Applications
• HOW TO: Scenario Editor
• HOW TO: control Healthiness on data gathering
• HOW TO: File Manager: load and management of files
• HOWTO: Exploit the new Data Inspector / Wizard
• HOWTO: Export Data from Dashboard Widgets
• HOW TO manage Groups of Entities
• HOW TO: Create a client_id in Keycloak

All the other articles:

• SOLUTION: Energy Management and Control
• SOLUTION: Environment Control, Predictions & Prescriptions
• Enhancing City Sustainability: Smart Light Management with Snap4City in Merano
• Optimizing Mobility and Transport Infrastructures
• Multidomain Digital Twin platform for Decision Makers.
• Snap4City Snap4Tech template / models capabilities
• Snap4City 8/2024 Digital Twin services and tools offering catalogue
• SCENARIO: City Users' Participation and Engagement with Snap4City
• OPTIFaaS: Operation and Plan, Transport Infrastructure and Facilities Support as a Service
• SCENARIO: Smart Tourism Management with Snap4City
• CAI4DSA: Collaborative Explainable neuro-symbolic AI for Decision Support Assistant, FAIR PE1 Spoke 1, PNRR
• SCENARIO: Traffic Light Plan Optimisation: reducing travel time, number of stops for vehicles and tramway lines
• SCENARIO: Traffic Infrastructure Optimisation: reducing travel time and emissions
• Snap4City Smart Parking Manager and mobile App supports
• Snap4City at the Smart City Expo World Congress 2024
• Knowledge Base Road Graph Restrictions
• Using Physics-Informed Neural Networks for Solving Navier-Stokes Equations in Complex Scenarios
• eShare in a Snap - The innovative car sharing and car pooling service
• Digital Twin Cityverse FAQ to Snap4City
• AMMIRARE: make the beach system more resilient to climate change risks through the implementation of natural based solutions
• TOURISMO: TOURism Innovative and Sustainable Management of flOws
• CAI4DSA: Collaborative explainable neuro-symbolic AI for Decision Support Assistant
• SASUAM: Solutions for Safe, Sustainable and Accessible Urban Mobility
• Snap4City 6/2024 Digital Twin services and tools offering catalogue
• Interview to ChatGPT4o about Snap4City Capabilities
• DS4SSCC Blueprint and Snap4City
• CityVerse and Snap4City
• Why smart city ? (a short note)
• Perchè avviare un processo di smart city, a short note
• Snap4City vs MIMs Plus Living-in.EU Technical Specifications
• SCENARIO: Exploit Snap4City in different Smart Waste use cases
• Km4City: properties of Road Elements.
• SCENARIO: Smart City Asset Management for Cuneo, Italy
• Snap4City Domains Videos
• Snap4Building: monitoring, managing, controlling infrastructures
• Smart Light Control and Light Adaptive for Traffic Density (the actual case of Merano)
• Snap4City integration with Milestone X Protect, VMS, Video Management System
• Blockchain support on Snap4City
• Snap4City enhanced debug support on Node-red to make the development easier and faster
• SCENARIO: Smart City Living Lab in Romania, https://www.snap4city.org/957
• Key performance Indicator: KPI per la mobilità e trasporti, MaaS, parcheggi, inquinamento (ITA)
• SUMI Indicatori e stima (ITA)
• Da Big Data Analytic ai Data Models e Digital Twin (ITA)
• Official Dissemination channels of Snap4City
• Tuscany X.0 – L’European Digital Innovation Hub dedicato a pubblica amministrazione e imprese toscane
• Snap4City Interview 2 on ChatGPT plus some links we added
• SCENARIO: Fashion Retail Recommendation System via Multiple Clustering Approach
• SCENARIO: Energy Community, CER, SELFUSER
• Interview to ChatGPT about Snap4City capabilities and solutions
• Snap4All: Mobile App for Android, Snap4City Features on Your Mobile Device
• IoT Device Model and Devices Data Dictionary:
• Monitoring Recharging Stations with Smart Applications
• SCENARIO: Smart Light Control, CAPELON, PDF
• SCENARIO: Supporting Decision Makers in Real Time about Quality Lab Analyses on the production process
• Social Media Analysis: Twitter Vigilance
• GDPR Compliant People Detection and Counting using Thermal Cameras
• Artificial Intelligence Predicts Landslides in Florence Area
• Available Parking Slots Prediction
• Available Bikes and Free Slots Prediction On Bike Sharing Stations
• Long Term Prediction of NO2 KPI of European Commission reference values

• Inventory of transferable digital applications and solutions for the tourism ecosystem

• Scenario: IMPETUS Intelligent Management of Processes, Ethics and Technology for Urban Safety

• Una piattaforma acchiappa-dati per Firenze

• Snap4City for Sustainable Development Goals

• UserManual of SelectorMap block/node on Node-RED, controlling Maps from Node-RED

• Twitter Vigilance: Tweet Annotation tool

• Global Digital Twin for Florence by Snap4City

• Doc: Translation Manager Tool

• Calls of the European Commission of interest for Snap4City, DISIT lab

• Doc: POI Loader Tool (load of Excel file)

• Doc: BIM integration in Snap4City: Digital Twin Local

• Doc: Data Table Loader tool (load of Excel File)

• Report management on devices and other aspects

  • Report Templates Generation and Management (Reports 1/3)

  • Report Activation and Access (Report 2/3)

  • Report Generator management (3/3)

• Digital Twin: Snap4City view

• Overview Snap4City 2021: Smart aNalytic APp builder for sentient Cities and IOT

• Why Snap4City should be adopted and why it can be easy replicated / installed

• Course: Big Data and Analytics, Master Industry 4.0 Design, PISA

• Comparing Snap4City Dashboard Builder wrt Kibana, Grafana

• TRAFAIR nella Città di Livorno

• TRAFAIR nella Città di Firenze

• TRAFAIR nella Città di Pisa

• Example of Hijri Date Support on Dashboards

• Scenario: SnapBot: Real Time Smart City services via Telegram

• DCL: DataCity-Large Structure and Configuration

• List of Dashboard Widgets, for Dashboard Builder

• Scenario: Copernicus Satellite Data

• Snap4City: GDPR compliance and requirements

• Snap4City: Security and Privacy Assessment

• Custom Widgets: Table explanation, as SVG

• Snap4City/Industry Registered Instances

• Scenario: MODBUS for Snap4Industry Snap4City Applications

• IOT Directory - DEV (Technical Reference Manual)

• IOT Directory - API (develpment manual)

• IOT Directory - UI (user Interface), HOW TO: work on IOT Directory User Manual

• Scenario: MOBIMART Interreg: MOBilità Intelligente MARe Terra

• Custom Synoptics and Widgets for Dashboards

• DORAM: how to create alternative scenarious (mobility demand vs transport offer)

• Scenario: City of Roma case, mobility and environmental data

• Scenario: Herit-Data video and aims

• Twitter Vigilance, social media monitoring and early warning

• Snap4City Certificates of Proficiency and/or Participation

• Scenario: Control Room vs Video Wall

• DISIT Lab Traffic Flow Reconstruction V1.0 Tool License Agreement, version 1.2, 2020

• Scenario: Snap4Home, how to exploit Snap4City solution on home automation

• Snap4City info su Andamenti Nazionali e Regionali infezione COVID-19

• Snap4City Harmonized Data Ingestion process

• Hotels in Florence having an agreement with UNIFI

• New Support Widgets for Bars and series

• How to register automatically an uri callback on Orion Context Broker

• Installing Snap4City: Appliances, Virtual Machines/Containers ready to use on your premise for Smart City and IOT Applications

• Snap4City 1st Place award by Select4Cities PCP

• Snap4City Business Model

• Snap4City at Smart City Expo World Congress 2019

• Article on Sensors: https://www.mdpi.com/1424-8220/19/21/4798/htm ,  MicroServices Suite for Smart City Applications

• Scenario: Energy Monitoring

• Data Analytics: Analyzing Public Transportation Offer wrt Mobility Demand

• Security, Privacy and GDPR Aspects of Snap4City

• Scenario: Multipurpose User Engagement Tools

• Scenario: 5G Enabled Water Cleaning Control

• Scenario: High Level Control of Industrial Plant

• Scenario: Vehicle Monitoring via OBD2

• Data Analytic: Predicting Air Quality

• Data Analytic: Origin Destination Matrices, Algortihms and tools

• Data Analytic:  Traffic Flow Reconstruction

• Scenario: Events and Museums Monitoring in Antwerp

• Scenario: High Resolution Prediction of Environmental Data

• Scenario: Mobility and Transport Analyses in multiple cities

• Scenario: People Flow Analysis via Wi-Fi

• Scenario: Antwerp Pilot on Environmental Data

• Scenario: Helsinki Pilot on Environmental Data

• Scenario: Firenze Smart City Control Room

• Scenario: Mobile & Web App: Toscana Where What … Km4City, Toscana in a Snap

• Scenario: Helsinki Pilot on User Behaviour

• Scenario: Antwerp Pilot on User Behaviour

• How to: Develop Smart Applications, Snap4City development Life Cycle

• Smart City Control Room Dashboards: Big Data Infrastructure, from data to decision support

• DataAnalytics on Antwerp and Helsinki

• What they state about Snap4City tools

• HOW TO: activate the zoom of External Services embedded into Dashboard Widget

• Dashboard info: Mobility and Environment What-IF Analysis, Florence

• Decision Support Engines and Models: SmartDS, ResilienceDS

• IPCAM on Dashboard Widget, Video Cameras

• Solution: using PAX Counters, monitoring museum and events

• Solution: selecting the less pollute routing

• How to Install: IOT Directory

• Data Flow Management and Visual Analytic for Big Data Smart City/IOT

• Dashboards: Since today all of them have Touch Screen Support

• Snap4City on Social Media

• AIRQino: Compact low-cost air quality monitoring station, by CNR IBIE

• Changing the backgroud map, loading Ortomaps, on Dashboard

• Custom Synoptics and Widgets for Dashboards

• Snap4City on the European Open Science Cloud Marketplace, EOSC

• Tutorial on the Bulk Load Approach for IOT Devices on Snap4City

• Training Snap4City: from data to sentient City, Smart City and IOT

• Snap4City Mobile Apps: Helsinki in a Snap, Antwerp in a Snap

• HOW TO: configure/install StartSNAP4CITYVM: starting appliance of Snap4City

• Node-RED IOT Applications for Smart City

• Snap4City Appliance: Virtual Machines ready to use on your premise for Smart City and IOT Applications

• Phase 3: Iteration 3: Trial on Antwerp and Helsinki (links)

• Snap4City Appliance, Virtual Machines

• Snap4City vs Fi-Ware

• Environmental Data Definitions, and Predictive Models

• Snap4City Hackathon 2019: The Winners

• Snap4City vs GDPR

• Articoli in Italiano: Articoli e Descrizioni in Italiano

  • Perchè avviare un processo di smart city, a short note

  • Da Big Data Analytic ai Data Models e Digital Twin

  • DISIT Lab Overview 2021

  • Course: Big Data and Analytics, Master Industry 4.0 Design, PISACourse: Big Data and Analytics, Master Industry 4.0 Design, PISACourse: Big Data and Analytics, Master Industry 4.0 Design, PISA

  • Traffico, meteo e qualità dell’aria: l’importanza dei dati per gestire e vivere le città

  • Corso su IOT, programmazione in Node-RED snap4City in Italiano

  • Scenario: Snap4Home the case of: Alexa, Philips, Sonoff, TP-link, etc. (Italiano)

  • Smart City Lighthouse ,snap4city, SDLM in Advanced Design LM12, Bologna: SLIDE and VIDEO (italiano)

  • Master Industry 4.0 Design: Big Data and Analytics

  • Training Snap4City: dai dati alla Città Senziente, Smart City and IOT

  • La Smart City Control Room di Snap4City (ITA)

  • Data Gathering: acquisizione dati (ITA)

  • Big Data Analytics, analitica (ITA)

  • Snap4City per Smart City e Industria 4.0 (ITA)

  • Sindaco Nardella allo Smart City Expo World Conference 2018

  • Un Hackathon promosso dal DISIT Lab del Dinfo a livello internazionale (ITA)
  • Training Snap4City: dai dati alla Città Senziente, Smart City and IOT
  • Una App per smaltire bene i rifiuti elettronici ed elettrici, WEEE

• Most popular content on Snap4City

• Snap4City Hackathon 2019 finalists for Antwerp and Helsinki

• Data Analytic: HDOP as GPS Position Quality Assessment

• Snap4City: best show cases

• Air Quality Indexes

• Codemotion Articles:

  • SELECT for Cities contest: solve challenges and create value for citizens 

  • How Snap4City can bring your vision of a Smart City to reality 

  • The Snap4City API: a tool for smart city developers

  • Tutorial: connecting an ESP-12 device to the snap4city network

  • Tutorial: connecting a raspberry Pi to the Snap4city network

  • The integration between data and devices: the Snap4City solution 

  • Snap4City Dashboards: Overlook Your City 

  • Toward the Sentient City with Snap4City 

  • Using Snap4City, Innovation and Technology to Improve City

  • IOT Development: the Snap4City way

  • Data Gathering and Knowledge Management for Smart Cities in Snap4City Platform 

• Km4City Urban Graph Representation

• How to Access at R Studio

• How to Access to ETL development environment

• Km4City /Snap4City Smart City API Service Availability

• Snap4Industry: Snap4City for Industry 4.0
• Snap4City per Smart City e Industria 4.0
• Snap4City vs GIS solutions and  connections
• Certificate of the Certification Authority
• Karma - in practice: triplification process
• Sindaco Nardella allo Smart City Expo World Conference 2018
• Snap4City Abstract: the most and the advanced aspects
• Snap4City: Arduino & ESP8266 IOT Device NGSI
• Snap4City IOT Edge on VM Ubuntu: IOT Application
• My Personal Statistics
• User Limits and Consumption of Resources
• Snap4City platform: from cloud to data analytic as a Living Lab for Student and Researchers
• Partners and Interoperability
• Registering IOT Edge: example of Raspberry Pi, total security
• Mobile Phone Android as IOT Edge with IOT Applications in Node-RED
• Snap4City Terminology
• Snap4City Living Lab Life Cycle suggested
• Architecture of Snap4City with Internal API, documented in Swagger
• searchable: the data, both structured and unstructured
• The daisy of MicroServices for Snap4City Dashboard and IOT App.
• IOT Applications, MicroService Directory, data bidirectional data flows
• HTML5 MicroApplications Smart City API 
• Snap4City IOT Devices Registration
• Creating: IOT Device, Raspberry Pi based totally compliant with Snap4City
• Snap4All IOT Button: based on ESP32
• Users' Roles on Snap4City
• Contributing as city stakeholder: company, citizen/developer, researcher, etc., to the Living Lab
• Real Time and Data Driven Capabilities of API
• Acting on the basis of Data and Data Analytics
• Exploring and Drill-Down on City Data
• Supported file and message formats
• ETL processes for massive Data Ingestion and Transformation
• Snap4City Supported Protocols, adding new protocols
• Testing Snap4City API with Postman
• High Level supported IOT Protocols
• Snap4City Collaborative Work and Co-working
• Snap4City Dictionary of Tools and Modules
• Snap4City Overview and Architecture vs it users
• EventLog API
• References
• Snap4City Logo
• Acronyms
• Doc:Dashboards https://www.snap4city.org/drupal/node/17
• Doc:Notificator https://www.snap4city.org/drupal/node/18
• Doc:IOTApplications https://www.snap4city.org/drupal/node/22
• Doc:IOTDirectoryandDevices https://www.snap4city.org/drupal/node/40
• Doc:ServiceMap&3D https://www.snap4city.org/drupal/node/19
• Doc:MicroApplications https://www.snap4city.org/drupal/node/54
• Doc:ExternalServices https://www.snap4city.org/drupal/node/55
• Doc:DataSetManager https://www.snap4city.org/drupal/node/26
• Doc:ResourceManager https://www.snap4city.org/drupal/node/27
• Doc:RStudioDevelopment https://www.snap4city.org/drupal/node/25
• Doc:ETLDevelopment https://www.snap4city.org/drupal/node/24
• Doc:KnowledgeBaseGraph&Query https://www.snap4city.org/drupal/node/21
• Doc:SmartCityAPI,Swagger https://www.snap4city.org/drupal/node/20
• Doc:TrafficAnalyzer,AMMA https://www.snap4city.org/drupal/node/43
• Doc:DataAnalyzer,DevDash https://www.snap4city.org/drupal/node/23
• Doc:ResourceAnalyzer,ResDash https://www.snap4city.org/drupal/node/42
• Doc:SchedulerDISCES https://www.snap4city.org/drupal/node/28

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