際際滷shows by User: paolonesi / http://www.slideshare.net/images/logo.gif 際際滷shows by User: paolonesi / Mon, 28 Oct 2019 12:41:57 GMT 際際滷Share feed for 際際滷shows by User: paolonesi Snap4City November 2019 Course: Smart City IOT Geernal overview, from dashboard to iot, analytics /paolonesi/snap4city-november-2019-course-smart-city-iot-geernal-overview-from-dashboard-to-iot-analytics snap4city-1st-day-general-v1-9-short-191028124157
Overview Urban Platform (main concepts vs Living Lab) Snap4City Architecture, roadmap, logos, innovations Dashboards: from City Dashboards to Applications Trajectories and real time tracking Dashboards Intelligence and web and mobile devices Dashboard chatrooms and notifications Smart City Control Room Dashboards production Data Gathering and City Data Knowledge Management Protocol vs Data Data Gathering processes GIS Data Import, Export and Exploitation Semantic Modeling and City Knowledge Base: Km4CIty IOT Applications, Devices and Dashboards IOT Devices Forging & Managing Flexible Mobile Apps, Web App, MicroApplications Web and Mobile App with Open Development Kit Understanding how city users are using the city services Engaging City Users Towards Virtuous Behaviour Data Analytic, Big Data Science Data Analytics: predictions Smart Parking: predictions User behaviour Analysis via Wi-Fi, OD Matrices, Trajectories Recognition of Used Transportation Means Traffic Flow Reconstruction, from traffic sensors data Quality of Public Transport Origin Destination Matrices Demand of Mobility vs Offer of Transportation Modal and Multimodal Routing for Navigation and Travel Planning Environmental Data Predictions Prediction of Qir Quality Anomaly Detection Environmental data prediction Social Media Analysis Snap4City Living Lab for Collaborative Work Development Life Cycle Development tools Data protection, personal da vs GDPR Snap4City and Km4City Projects Acknowledgment ]]>
Overview Urban Platform (main concepts vs Living Lab) Snap4City Architecture, roadmap, logos, innovations Dashboards: from City Dashboards to Applications Trajectories and real time tracking Dashboards Intelligence and web and mobile devices Dashboard chatrooms and notifications Smart City Control Room Dashboards production Data Gathering and City Data Knowledge Management Protocol vs Data Data Gathering processes GIS Data Import, Export and Exploitation Semantic Modeling and City Knowledge Base: Km4CIty IOT Applications, Devices and Dashboards IOT Devices Forging & Managing Flexible Mobile Apps, Web App, MicroApplications Web and Mobile App with Open Development Kit Understanding how city users are using the city services Engaging City Users Towards Virtuous Behaviour Data Analytic, Big Data Science Data Analytics: predictions Smart Parking: predictions User behaviour Analysis via Wi-Fi, OD Matrices, Trajectories Recognition of Used Transportation Means Traffic Flow Reconstruction, from traffic sensors data Quality of Public Transport Origin Destination Matrices Demand of Mobility vs Offer of Transportation Modal and Multimodal Routing for Navigation and Travel Planning Environmental Data Predictions Prediction of Qir Quality Anomaly Detection Environmental data prediction Social Media Analysis Snap4City Living Lab for Collaborative Work Development Life Cycle Development tools Data protection, personal da vs GDPR Snap4City and Km4City Projects Acknowledgment ]]> Mon, 28 Oct 2019 12:41:57 GMT /paolonesi/snap4city-november-2019-course-smart-city-iot-geernal-overview-from-dashboard-to-iot-analytics paolonesi@slideshare.net(paolonesi) Snap4City November 2019 Course: Smart City IOT Geernal overview, from dashboard to iot, analytics paolonesi Overview Urban Platform (main concepts vs Living Lab) Snap4City Architecture, roadmap, logos, innovations Dashboards: from City Dashboards to Applications Trajectories and real time tracking Dashboards Intelligence and web and mobile devices Dashboard chatrooms and notifications Smart City Control Room Dashboards production Data Gathering and City Data Knowledge Management Protocol vs Data Data Gathering processes GIS Data Import, Export and Exploitation Semantic Modeling and City Knowledge Base: Km4CIty IOT Applications, Devices and Dashboards IOT Devices Forging & Managing Flexible Mobile Apps, Web App, MicroApplications Web and Mobile App with Open Development Kit Understanding how city users are using the city services Engaging City Users Towards Virtuous Behaviour Data Analytic, Big Data Science Data Analytics: predictions Smart Parking: predictions User behaviour Analysis via Wi-Fi, OD Matrices, Trajectories Recognition of Used Transportation Means Traffic Flow Reconstruction, from traffic sensors data Quality of Public Transport Origin Destination Matrices Demand of Mobility vs Offer of Transportation Modal and Multimodal Routing for Navigation and Travel Planning Environmental Data Predictions Prediction of Qir Quality Anomaly Detection Environmental data prediction Social Media Analysis Snap4City Living Lab for Collaborative Work Development Life Cycle Development tools Data protection, personal da vs GDPR Snap4City and Km4City Projects Acknowledgment <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-1st-day-general-v1-9-short-191028124157-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Overview Urban Platform (main concepts vs Living Lab) Snap4City Architecture, roadmap, logos, innovations Dashboards: from City Dashboards to Applications Trajectories and real time tracking Dashboards Intelligence and web and mobile devices Dashboard chatrooms and notifications Smart City Control Room Dashboards production Data Gathering and City Data Knowledge Management Protocol vs Data Data Gathering processes GIS Data Import, Export and Exploitation Semantic Modeling and City Knowledge Base: Km4CIty IOT Applications, Devices and Dashboards IOT Devices Forging &amp; Managing Flexible Mobile Apps, Web App, MicroApplications Web and Mobile App with Open Development Kit Understanding how city users are using the city services Engaging City Users Towards Virtuous Behaviour Data Analytic, Big Data Science Data Analytics: predictions Smart Parking: predictions User behaviour Analysis via Wi-Fi, OD Matrices, Trajectories Recognition of Used Transportation Means Traffic Flow Reconstruction, from traffic sensors data Quality of Public Transport Origin Destination Matrices Demand of Mobility vs Offer of Transportation Modal and Multimodal Routing for Navigation and Travel Planning Environmental Data Predictions Prediction of Qir Quality Anomaly Detection Environmental data prediction Social Media Analysis Snap4City Living Lab for Collaborative Work Development Life Cycle Development tools Data protection, personal da vs GDPR Snap4City and Km4City Projects Acknowledgment
Snap4City November 2019 Course: Smart City IOT Geernal overview, from dashboard to iot, analytics from Paolo Nesi
]]> 362 0 https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-1st-day-general-v1-9-short-191028124157-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Snap4City November 2019 Course: Smart City IOT platform installation, deploy, development life cycle /slideshow/snap4city-november-2019-course-smart-city-iot-platform-installation-deploy-development-life-cycle/187739103 snap4city-6th-day-system-deploy-v1-9-191028122731
Snap4City Architecture Snap4City: Smart City IOT as a Service Snap4City Living Lab For Collaborative Work Smart City Development Life Cycle Analysis and Design for Innovation (Co-Creation and Co-Working) Development Tools How to Add Functions that are not present in the Platform Snap4City vs Fi-Ware Snap4City vs State of the Art Solutions Snap4City Services: Consulting and Developing Snap4City vs Snap4Industry 4.0 Installing Snap4City The view of the Administrator Monitoring Resource Consumption and Traffic Managing and Monitoring Data Traffic in the BackOffice Auditing Activities Managing Back Office processes via Containers Acknowledgement ]]>
Snap4City Architecture Snap4City: Smart City IOT as a Service Snap4City Living Lab For Collaborative Work Smart City Development Life Cycle Analysis and Design for Innovation (Co-Creation and Co-Working) Development Tools How to Add Functions that are not present in the Platform Snap4City vs Fi-Ware Snap4City vs State of the Art Solutions Snap4City Services: Consulting and Developing Snap4City vs Snap4Industry 4.0 Installing Snap4City The view of the Administrator Monitoring Resource Consumption and Traffic Managing and Monitoring Data Traffic in the BackOffice Auditing Activities Managing Back Office processes via Containers Acknowledgement ]]> Mon, 28 Oct 2019 12:27:31 GMT /slideshow/snap4city-november-2019-course-smart-city-iot-platform-installation-deploy-development-life-cycle/187739103 paolonesi@slideshare.net(paolonesi) Snap4City November 2019 Course: Smart City IOT platform installation, deploy, development life cycle paolonesi Snap4City Architecture Snap4City: Smart City IOT as a Service Snap4City Living Lab For Collaborative Work Smart City Development Life Cycle Analysis and Design for Innovation (Co-Creation and Co-Working) Development Tools How to Add Functions that are not present in the Platform Snap4City vs Fi-Ware Snap4City vs State of the Art Solutions Snap4City Services: Consulting and Developing Snap4City vs Snap4Industry 4.0 Installing Snap4City The view of the Administrator Monitoring Resource Consumption and Traffic Managing and Monitoring Data Traffic in the BackOffice Auditing Activities Managing Back Office processes via Containers Acknowledgement <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-6th-day-system-deploy-v1-9-191028122731-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Snap4City Architecture Snap4City: Smart City IOT as a Service Snap4City Living Lab For Collaborative Work Smart City Development Life Cycle Analysis and Design for Innovation (Co-Creation and Co-Working) Development Tools How to Add Functions that are not present in the Platform Snap4City vs Fi-Ware Snap4City vs State of the Art Solutions Snap4City Services: Consulting and Developing Snap4City vs Snap4Industry 4.0 Installing Snap4City The view of the Administrator Monitoring Resource Consumption and Traffic Managing and Monitoring Data Traffic in the BackOffice Auditing Activities Managing Back Office processes via Containers Acknowledgement
Snap4City November 2019 Course: Smart City IOT platform installation, deploy, development life cycle from Paolo Nesi
]]> 411 0 https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-6th-day-system-deploy-v1-9-191028122731-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Snap4City November 2019 Course: Smart City IOT development of IOT Applications /slideshow/snap4city-november-2019-course-smart-city-iot-development-of-iot-applications/187738035 iot-191028122334
IOT Applications, Devices and Dashboards Managing IOT Applications Authoring IOT Applications IOT App vs Data Analytic IOT App vs Web Scraping IOT Apps Examples From Simple to Data Processing IOT Applications Create a Simple IOT Application (Demo) Production of IOT Application (Exercitation) Data Processing with IOT Application (Demo) Processing Data with IOT Applications (Exercitation) IOT Network Support Proprietary IOT Devices as Well as Open hardware / Open Software IOT end-2-end Secure Stack ]]>
IOT Applications, Devices and Dashboards Managing IOT Applications Authoring IOT Applications IOT App vs Data Analytic IOT App vs Web Scraping IOT Apps Examples From Simple to Data Processing IOT Applications Create a Simple IOT Application (Demo) Production of IOT Application (Exercitation) Data Processing with IOT Application (Demo) Processing Data with IOT Applications (Exercitation) IOT Network Support Proprietary IOT Devices as Well as Open hardware / Open Software IOT end-2-end Secure Stack ]]> Mon, 28 Oct 2019 12:23:34 GMT /slideshow/snap4city-november-2019-course-smart-city-iot-development-of-iot-applications/187738035 paolonesi@slideshare.net(paolonesi) Snap4City November 2019 Course: Smart City IOT development of IOT Applications paolonesi IOT Applications, Devices and Dashboards Managing IOT Applications Authoring IOT Applications IOT App vs Data Analytic IOT App vs Web Scraping IOT Apps Examples From Simple to Data Processing IOT Applications Create a Simple IOT Application (Demo) Production of IOT Application (Exercitation) Data Processing with IOT Application (Demo) Processing Data with IOT Applications (Exercitation) IOT Network Support Proprietary IOT Devices as Well as Open hardware / Open Software IOT end-2-end Secure Stack <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iot-191028122334-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> IOT Applications, Devices and Dashboards Managing IOT Applications Authoring IOT Applications IOT App vs Data Analytic IOT App vs Web Scraping IOT Apps Examples From Simple to Data Processing IOT Applications Create a Simple IOT Application (Demo) Production of IOT Application (Exercitation) Data Processing with IOT Application (Demo) Processing Data with IOT Applications (Exercitation) IOT Network Support Proprietary IOT Devices as Well as Open hardware / Open Software IOT end-2-end Secure Stack
Snap4City November 2019 Course: Smart City IOT development of IOT Applications from Paolo Nesi
]]> 289 0 https://cdn.slidesharecdn.com/ss_thumbnails/iot-191028122334-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperability datawarehouse /slideshow/snap4city-november-2019-course-smart-city-iot-data-ingestion-interoperability-datawarehouse/187737360 ingest-191028122025
Data Ingestion Capabilities Data Ingestion Strategy Setting Up the Road Graph on Knowledge Base Data Set Load via Data Gate (plus how to load triples into Knowledge base) Data Ingestion and Transformation via ETL Processes Data Ingestion via IOT Brokers IOT Network: recall of basic concepts IOT Directory IOT Devices and IOT Brokers Registration Data Ingestion via IOT Applications Data Ingestion from API, External Services, Custom MicroServices Data Ingestion via Web Scraping Data Streams from Smart City API, participatory Data Streams from Mobile Devices Data Streams from Dashboards GIS Data Import and Export Social Media data collection and exploitation Acknowledgements ]]>
Data Ingestion Capabilities Data Ingestion Strategy Setting Up the Road Graph on Knowledge Base Data Set Load via Data Gate (plus how to load triples into Knowledge base) Data Ingestion and Transformation via ETL Processes Data Ingestion via IOT Brokers IOT Network: recall of basic concepts IOT Directory IOT Devices and IOT Brokers Registration Data Ingestion via IOT Applications Data Ingestion from API, External Services, Custom MicroServices Data Ingestion via Web Scraping Data Streams from Smart City API, participatory Data Streams from Mobile Devices Data Streams from Dashboards GIS Data Import and Export Social Media data collection and exploitation Acknowledgements ]]> Mon, 28 Oct 2019 12:20:25 GMT /slideshow/snap4city-november-2019-course-smart-city-iot-data-ingestion-interoperability-datawarehouse/187737360 paolonesi@slideshare.net(paolonesi) Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperability datawarehouse paolonesi Data Ingestion Capabilities Data Ingestion Strategy Setting Up the Road Graph on Knowledge Base Data Set Load via Data Gate (plus how to load triples into Knowledge base) Data Ingestion and Transformation via ETL Processes Data Ingestion via IOT Brokers IOT Network: recall of basic concepts IOT Directory IOT Devices and IOT Brokers Registration Data Ingestion via IOT Applications Data Ingestion from API, External Services, Custom MicroServices Data Ingestion via Web Scraping Data Streams from Smart City API, participatory Data Streams from Mobile Devices Data Streams from Dashboards GIS Data Import and Export Social Media data collection and exploitation Acknowledgements <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ingest-191028122025-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Data Ingestion Capabilities Data Ingestion Strategy Setting Up the Road Graph on Knowledge Base Data Set Load via Data Gate (plus how to load triples into Knowledge base) Data Ingestion and Transformation via ETL Processes Data Ingestion via IOT Brokers IOT Network: recall of basic concepts IOT Directory IOT Devices and IOT Brokers Registration Data Ingestion via IOT Applications Data Ingestion from API, External Services, Custom MicroServices Data Ingestion via Web Scraping Data Streams from Smart City API, participatory Data Streams from Mobile Devices Data Streams from Dashboards GIS Data Import and Export Social Media data collection and exploitation Acknowledgements
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperability datawarehouse from Paolo Nesi
]]> 298 0 https://cdn.slidesharecdn.com/ss_thumbnails/ingest-191028122025-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Snap4City November 2019 Course: Smart City API, federation, Web and Mobile App development /slideshow/snap4city-november-2019-course-smart-city-api-federation-web-and-mobile-app-development/187736794 dev-191028121750
Smart City API: Internal and External Forging and Managing Flexible Mobile Apps, Web Apps and Micro Apps Web and Mobile App with Open Development Kit Understanding how City User are using the City Services Engaging City Users, towards a participated attitude Advanced Smart City API, MicroServices, Snap4City API Federated Knowledge Base and Smart City API Web and Mobile App Development Kit Acknowledgement ]]>
Smart City API: Internal and External Forging and Managing Flexible Mobile Apps, Web Apps and Micro Apps Web and Mobile App with Open Development Kit Understanding how City User are using the City Services Engaging City Users, towards a participated attitude Advanced Smart City API, MicroServices, Snap4City API Federated Knowledge Base and Smart City API Web and Mobile App Development Kit Acknowledgement ]]> Mon, 28 Oct 2019 12:17:50 GMT /slideshow/snap4city-november-2019-course-smart-city-api-federation-web-and-mobile-app-development/187736794 paolonesi@slideshare.net(paolonesi) Snap4City November 2019 Course: Smart City API, federation, Web and Mobile App development paolonesi Smart City API: Internal and External Forging and Managing Flexible Mobile Apps, Web Apps and Micro Apps Web and Mobile App with Open Development Kit Understanding how City User are using the City Services Engaging City Users, towards a participated attitude Advanced Smart City API, MicroServices, Snap4City API Federated Knowledge Base and Smart City API Web and Mobile App Development Kit Acknowledgement <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dev-191028121750-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Smart City API: Internal and External Forging and Managing Flexible Mobile Apps, Web Apps and Micro Apps Web and Mobile App with Open Development Kit Understanding how City User are using the City Services Engaging City Users, towards a participated attitude Advanced Smart City API, MicroServices, Snap4City API Federated Knowledge Base and Smart City API Web and Mobile App Development Kit Acknowledgement
Snap4City November 2019 Course: Smart City API, federation, Web and Mobile App development from Paolo Nesi
]]> 285 0 https://cdn.slidesharecdn.com/ss_thumbnails/dev-191028121750-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Snap4City November 2019 Course: Smart City IOT Dashboard, smart city control room, situation room /slideshow/snap4city-november-2019-course-smart-city-iot-dashboard-smart-city-control-room-situation-room/187736322 dash-191028121544
Recall on Snap4City Architecture Dashboard Usage and Authoring Dashboard usage vs Widgets Multi Data Map Widget Unified Data and Services Inspection (data inspector) Data Inspector vs Data Processes Details From Data to Graphic Widgets GIS Data Import, Export and Exploitation Dashboard Creation & Exercitation Dashboard Creation, Exercitation Synoptics and Custom Widgets Creation Dashboards Intelligence on Web and Mobile Devices Dashboard ChatRoom and Notifications Data Type Management GDPR Compliant Dashboard Listing, Managing, Sharing, Delegation Dashboards GDPR Management Personal Data Management GDPR Compliant: POI, Data, KPI Snap4City and Km4City Projects Acknowledgments ]]>
Recall on Snap4City Architecture Dashboard Usage and Authoring Dashboard usage vs Widgets Multi Data Map Widget Unified Data and Services Inspection (data inspector) Data Inspector vs Data Processes Details From Data to Graphic Widgets GIS Data Import, Export and Exploitation Dashboard Creation & Exercitation Dashboard Creation, Exercitation Synoptics and Custom Widgets Creation Dashboards Intelligence on Web and Mobile Devices Dashboard ChatRoom and Notifications Data Type Management GDPR Compliant Dashboard Listing, Managing, Sharing, Delegation Dashboards GDPR Management Personal Data Management GDPR Compliant: POI, Data, KPI Snap4City and Km4City Projects Acknowledgments ]]> Mon, 28 Oct 2019 12:15:44 GMT /slideshow/snap4city-november-2019-course-smart-city-iot-dashboard-smart-city-control-room-situation-room/187736322 paolonesi@slideshare.net(paolonesi) Snap4City November 2019 Course: Smart City IOT Dashboard, smart city control room, situation room paolonesi Recall on Snap4City Architecture Dashboard Usage and Authoring Dashboard usage vs Widgets Multi Data Map Widget Unified Data and Services Inspection (data inspector) Data Inspector vs Data Processes Details From Data to Graphic Widgets GIS Data Import, Export and Exploitation Dashboard Creation & Exercitation Dashboard Creation, Exercitation Synoptics and Custom Widgets Creation Dashboards Intelligence on Web and Mobile Devices Dashboard ChatRoom and Notifications Data Type Management GDPR Compliant Dashboard Listing, Managing, Sharing, Delegation Dashboards GDPR Management Personal Data Management GDPR Compliant: POI, Data, KPI Snap4City and Km4City Projects Acknowledgments <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dash-191028121544-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Recall on Snap4City Architecture Dashboard Usage and Authoring Dashboard usage vs Widgets Multi Data Map Widget Unified Data and Services Inspection (data inspector) Data Inspector vs Data Processes Details From Data to Graphic Widgets GIS Data Import, Export and Exploitation Dashboard Creation &amp; Exercitation Dashboard Creation, Exercitation Synoptics and Custom Widgets Creation Dashboards Intelligence on Web and Mobile Devices Dashboard ChatRoom and Notifications Data Type Management GDPR Compliant Dashboard Listing, Managing, Sharing, Delegation Dashboards GDPR Management Personal Data Management GDPR Compliant: POI, Data, KPI Snap4City and Km4City Projects Acknowledgments
Snap4City November 2019 Course: Smart City IOT Dashboard, smart city control room, situation room from Paolo Nesi
]]> 293 0 https://cdn.slidesharecdn.com/ss_thumbnails/dash-191028121544-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Snap4City November 2019 Course: Smart City IOT Data Analytics /slideshow/snap4city-november-2019-course-smart-city-iot-data-analytics/187735235 da-191028121131
Data Analytics: Examples from Snap4City o Smart parking: Predictions o User Behavior Analysis, via Wi-Fi, OD, Trajectories o Recognition of Used Transportation means o Traffic Flow Reconstruction, from Traffic Sensors Data o Quality of Public Transport Service o Origin Destination Matrices from: Wi-Fi, Mobile Apps, etc. o Demand of Mobility vs Offer of Transportation o Modal and Multimodal Routing for Navigation and Travel Planning o Environmental Data Analysis and Predictions, early Warning o Prediction of Air Quality Conditions o Anomaly Detection o What-IF Analysis Data Analytics: Enforcing and Exploiting o Real Time Data Analytics: using R Studio Exploitation in IOT Applications Decision Support Systems, Smart DS and Resilience DS Twitter Vigilance: Social Media Analysis: Early Warning, Predictions ]]>
Data Analytics: Examples from Snap4City o Smart parking: Predictions o User Behavior Analysis, via Wi-Fi, OD, Trajectories o Recognition of Used Transportation means o Traffic Flow Reconstruction, from Traffic Sensors Data o Quality of Public Transport Service o Origin Destination Matrices from: Wi-Fi, Mobile Apps, etc. o Demand of Mobility vs Offer of Transportation o Modal and Multimodal Routing for Navigation and Travel Planning o Environmental Data Analysis and Predictions, early Warning o Prediction of Air Quality Conditions o Anomaly Detection o What-IF Analysis Data Analytics: Enforcing and Exploiting o Real Time Data Analytics: using R Studio Exploitation in IOT Applications Decision Support Systems, Smart DS and Resilience DS Twitter Vigilance: Social Media Analysis: Early Warning, Predictions ]]> Mon, 28 Oct 2019 12:11:31 GMT /slideshow/snap4city-november-2019-course-smart-city-iot-data-analytics/187735235 paolonesi@slideshare.net(paolonesi) Snap4City November 2019 Course: Smart City IOT Data Analytics paolonesi Data Analytics: Examples from Snap4City o Smart parking: Predictions o User Behavior Analysis, via Wi-Fi, OD, Trajectories o Recognition of Used Transportation means o Traffic Flow Reconstruction, from Traffic Sensors Data o Quality of Public Transport Service o Origin Destination Matrices from: Wi-Fi, Mobile Apps, etc. o Demand of Mobility vs Offer of Transportation o Modal and Multimodal Routing for Navigation and Travel Planning o Environmental Data Analysis and Predictions, early Warning o Prediction of Air Quality Conditions o Anomaly Detection o What-IF Analysis Data Analytics: Enforcing and Exploiting o Real Time Data Analytics: using R Studio Exploitation in IOT Applications Decision Support Systems, Smart DS and Resilience DS Twitter Vigilance: Social Media Analysis: Early Warning, Predictions <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/da-191028121131-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Data Analytics: Examples from Snap4City o Smart parking: Predictions o User Behavior Analysis, via Wi-Fi, OD, Trajectories o Recognition of Used Transportation means o Traffic Flow Reconstruction, from Traffic Sensors Data o Quality of Public Transport Service o Origin Destination Matrices from: Wi-Fi, Mobile Apps, etc. o Demand of Mobility vs Offer of Transportation o Modal and Multimodal Routing for Navigation and Travel Planning o Environmental Data Analysis and Predictions, early Warning o Prediction of Air Quality Conditions o Anomaly Detection o What-IF Analysis Data Analytics: Enforcing and Exploiting o Real Time Data Analytics: using R Studio Exploitation in IOT Applications Decision Support Systems, Smart DS and Resilience DS Twitter Vigilance: Social Media Analysis: Early Warning, Predictions
Snap4City November 2019 Course: Smart City IOT Data Analytics from Paolo Nesi
]]> 276 0 https://cdn.slidesharecdn.com/ss_thumbnails/da-191028121131-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Data Flow Management and Visual Analytic for Big Data Smart City/IOT /slideshow/data-flow-management-and-visual-analytic-for-big-data-smart-cityiot/166078298 ieee-scalcom-agosto-2019-v1-1-190824142102
In recent years, the number of Internet of Things and Internet of Everything (IOT/IOE) paradigms has increased significantly. The large number of devices contributed to generate a huge amount of data (Big Data) inserted in Smart City solutions, which are experiencing an explosion of complexity, also due to the increment of protocols, formats and providers. In this perspective it becomes essential to create a data indexing infrastructure that can optimize the performance of the system itself, for creating the so called data shadowing on IOT and other data on cloud. Therefore, it is fundamental to study paradigms to manage the indexing and visual analytics a great variety of data including IOT/IOE. One of the important aspects to be addressed for managing data in the smart city context are: the uniform model, the performance and scalability, response times in research, and the possibilities of performing visual analytic such as data flow analysis and drill down. All these needs imply the creation of a Smart Solution capable of managing and analysing heterogeneous kinds of data, providing a multitude of final applications based on the type of user who requires a certain service. To this end, in this paper, a unified model for IOT/IOE and data ingestion is presented. In addition, two possible architectural solutions have been implemented and compared in terms of performance, resource consumption, reliability and visual analytic tools for data flow. The solutions proposed for data indexing and shadowing have been tested in the context of Snap4City pilot Helsinki and Antwerp for smart city of EC project Select4Cities. ]]>
In recent years, the number of Internet of Things and Internet of Everything (IOT/IOE) paradigms has increased significantly. The large number of devices contributed to generate a huge amount of data (Big Data) inserted in Smart City solutions, which are experiencing an explosion of complexity, also due to the increment of protocols, formats and providers. In this perspective it becomes essential to create a data indexing infrastructure that can optimize the performance of the system itself, for creating the so called data shadowing on IOT and other data on cloud. Therefore, it is fundamental to study paradigms to manage the indexing and visual analytics a great variety of data including IOT/IOE. One of the important aspects to be addressed for managing data in the smart city context are: the uniform model, the performance and scalability, response times in research, and the possibilities of performing visual analytic such as data flow analysis and drill down. All these needs imply the creation of a Smart Solution capable of managing and analysing heterogeneous kinds of data, providing a multitude of final applications based on the type of user who requires a certain service. To this end, in this paper, a unified model for IOT/IOE and data ingestion is presented. In addition, two possible architectural solutions have been implemented and compared in terms of performance, resource consumption, reliability and visual analytic tools for data flow. The solutions proposed for data indexing and shadowing have been tested in the context of Snap4City pilot Helsinki and Antwerp for smart city of EC project Select4Cities. ]]> Sat, 24 Aug 2019 14:21:02 GMT /slideshow/data-flow-management-and-visual-analytic-for-big-data-smart-cityiot/166078298 paolonesi@slideshare.net(paolonesi) Data Flow Management and Visual Analytic for Big Data Smart City/IOT paolonesi In recent years, the number of Internet of Things and Internet of Everything (IOT/IOE) paradigms has increased significantly. The large number of devices contributed to generate a huge amount of data (Big Data) inserted in Smart City solutions, which are experiencing an explosion of complexity, also due to the increment of protocols, formats and providers. In this perspective it becomes essential to create a data indexing infrastructure that can optimize the performance of the system itself, for creating the so called data shadowing on IOT and other data on cloud. Therefore, it is fundamental to study paradigms to manage the indexing and visual analytics a great variety of data including IOT/IOE. One of the important aspects to be addressed for managing data in the smart city context are: the uniform model, the performance and scalability, response times in research, and the possibilities of performing visual analytic such as data flow analysis and drill down. All these needs imply the creation of a Smart Solution capable of managing and analysing heterogeneous kinds of data, providing a multitude of final applications based on the type of user who requires a certain service. To this end, in this paper, a unified model for IOT/IOE and data ingestion is presented. In addition, two possible architectural solutions have been implemented and compared in terms of performance, resource consumption, reliability and visual analytic tools for data flow. The solutions proposed for data indexing and shadowing have been tested in the context of Snap4City pilot Helsinki and Antwerp for smart city of EC project Select4Cities. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ieee-scalcom-agosto-2019-v1-1-190824142102-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In recent years, the number of Internet of Things and Internet of Everything (IOT/IOE) paradigms has increased significantly. The large number of devices contributed to generate a huge amount of data (Big Data) inserted in Smart City solutions, which are experiencing an explosion of complexity, also due to the increment of protocols, formats and providers. In this perspective it becomes essential to create a data indexing infrastructure that can optimize the performance of the system itself, for creating the so called data shadowing on IOT and other data on cloud. Therefore, it is fundamental to study paradigms to manage the indexing and visual analytics a great variety of data including IOT/IOE. One of the important aspects to be addressed for managing data in the smart city context are: the uniform model, the performance and scalability, response times in research, and the possibilities of performing visual analytic such as data flow analysis and drill down. All these needs imply the creation of a Smart Solution capable of managing and analysing heterogeneous kinds of data, providing a multitude of final applications based on the type of user who requires a certain service. To this end, in this paper, a unified model for IOT/IOE and data ingestion is presented. In addition, two possible architectural solutions have been implemented and compared in terms of performance, resource consumption, reliability and visual analytic tools for data flow. The solutions proposed for data indexing and shadowing have been tested in the context of Snap4City pilot Helsinki and Antwerp for smart city of EC project Select4Cities.
Data Flow Management and Visual Analytic for Big Data Smart City/IOT from Paolo Nesi
]]> 947 1 https://cdn.slidesharecdn.com/ss_thumbnails/ieee-scalcom-agosto-2019-v1-1-190824142102-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Privacy and security aspects on a Smart City IoT Platform /slideshow/privacy-and-security-aspects-on-a-smart-city-iot-platform/166078006 ieee-atc-agosto-2019-v1-3-190824141746
Internet of Things paradigm enables computation and communication in tools that every day everyone uses. The vastness and heterogeneity of devices and the ways they are composed to offer innovative services and scenarios require a challenging vison in interoperability, security and in managing huge quantity of data. Many IoT frameworks and platforms propose to solve these issues, aggregating different sources of information and combine their flow of data in innovative services. Due to the potentially very sensible nature of some of this data, privacy and security aspects have to be taken into account by design and by default. An end-to-end secure solution has to permit the final users to have full control on their personal data and, on the other side, the framework has to support developers in writing applications offering the highest level of security/protection on their data flow. European Commission GDPR also added complexity to this context. In this paper, Snap4City solution to support such level of privacy and security in an IoT scenarios is presented. Snap4City has been developed in the context of Select4Cities PCP project of the European Commission.]]>
Internet of Things paradigm enables computation and communication in tools that every day everyone uses. The vastness and heterogeneity of devices and the ways they are composed to offer innovative services and scenarios require a challenging vison in interoperability, security and in managing huge quantity of data. Many IoT frameworks and platforms propose to solve these issues, aggregating different sources of information and combine their flow of data in innovative services. Due to the potentially very sensible nature of some of this data, privacy and security aspects have to be taken into account by design and by default. An end-to-end secure solution has to permit the final users to have full control on their personal data and, on the other side, the framework has to support developers in writing applications offering the highest level of security/protection on their data flow. European Commission GDPR also added complexity to this context. In this paper, Snap4City solution to support such level of privacy and security in an IoT scenarios is presented. Snap4City has been developed in the context of Select4Cities PCP project of the European Commission.]]> Sat, 24 Aug 2019 14:17:46 GMT /slideshow/privacy-and-security-aspects-on-a-smart-city-iot-platform/166078006 paolonesi@slideshare.net(paolonesi) Privacy and security aspects on a Smart City IoT Platform paolonesi Internet of Things paradigm enables computation and communication in tools that every day everyone uses. The vastness and heterogeneity of devices and the ways they are composed to offer innovative services and scenarios require a challenging vison in interoperability, security and in managing huge quantity of data. Many IoT frameworks and platforms propose to solve these issues, aggregating different sources of information and combine their flow of data in innovative services. Due to the potentially very sensible nature of some of this data, privacy and security aspects have to be taken into account by design and by default. An end-to-end secure solution has to permit the final users to have full control on their personal data and, on the other side, the framework has to support developers in writing applications offering the highest level of security/protection on their data flow. European Commission GDPR also added complexity to this context. In this paper, Snap4City solution to support such level of privacy and security in an IoT scenarios is presented. Snap4City has been developed in the context of Select4Cities PCP project of the European Commission. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ieee-atc-agosto-2019-v1-3-190824141746-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Internet of Things paradigm enables computation and communication in tools that every day everyone uses. The vastness and heterogeneity of devices and the ways they are composed to offer innovative services and scenarios require a challenging vison in interoperability, security and in managing huge quantity of data. Many IoT frameworks and platforms propose to solve these issues, aggregating different sources of information and combine their flow of data in innovative services. Due to the potentially very sensible nature of some of this data, privacy and security aspects have to be taken into account by design and by default. An end-to-end secure solution has to permit the final users to have full control on their personal data and, on the other side, the framework has to support developers in writing applications offering the highest level of security/protection on their data flow. European Commission GDPR also added complexity to this context. In this paper, Snap4City solution to support such level of privacy and security in an IoT scenarios is presented. Snap4City has been developed in the context of Select4Cities PCP project of the European Commission.
Privacy and security aspects on a Smart City IoT Platform from Paolo Nesi
]]> 143 1 https://cdn.slidesharecdn.com/ss_thumbnails/ieee-atc-agosto-2019-v1-3-190824141746-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Snap4City: SCALABLE SMART ANALYTIC APPLICATION BUILDER FOR SENTIENT CITIES /slideshow/snap4city-scalable-smart-analytic-application-builder-for-sentient-cities/121405265 depliantsnap4cityfull-ok-181101081439
Dashboards: from City Dashboard to Applications Data gathering and City Data Knowledge Management Forging & Managing Open and Flexible Web and Mobile Apps IOT/IOE Devices and Networks IOT Applications, the Logic and the Smartness IOT Applications vs IOT Edge Devices Advanced Smart City API, MicroServices, Snap4City API Snap4City Living Lab for Collaborative Work Snap4City for Beginners Open to developers and stakeholders Snap4City Architecture and Ecosystem Decision Support System vs Resilience Twitter Vigilance: Social Media Analysis Snap4City and Km4City Projects How to Adopt Snap4City, and our Roadmap Snap4City: the view of the Administrators ]]>
Dashboards: from City Dashboard to Applications Data gathering and City Data Knowledge Management Forging & Managing Open and Flexible Web and Mobile Apps IOT/IOE Devices and Networks IOT Applications, the Logic and the Smartness IOT Applications vs IOT Edge Devices Advanced Smart City API, MicroServices, Snap4City API Snap4City Living Lab for Collaborative Work Snap4City for Beginners Open to developers and stakeholders Snap4City Architecture and Ecosystem Decision Support System vs Resilience Twitter Vigilance: Social Media Analysis Snap4City and Km4City Projects How to Adopt Snap4City, and our Roadmap Snap4City: the view of the Administrators ]]> Thu, 01 Nov 2018 08:14:39 GMT /slideshow/snap4city-scalable-smart-analytic-application-builder-for-sentient-cities/121405265 paolonesi@slideshare.net(paolonesi) Snap4City: SCALABLE SMART ANALYTIC APPLICATION BUILDER FOR SENTIENT CITIES paolonesi Dashboards: from City Dashboard to Applications Data gathering and City Data Knowledge Management Forging & Managing Open and Flexible Web and Mobile Apps IOT/IOE Devices and Networks IOT Applications, the Logic and the Smartness IOT Applications vs IOT Edge Devices Advanced Smart City API, MicroServices, Snap4City API Snap4City Living Lab for Collaborative Work Snap4City for Beginners Open to developers and stakeholders Snap4City Architecture and Ecosystem Decision Support System vs Resilience Twitter Vigilance: Social Media Analysis Snap4City and Km4City Projects How to Adopt Snap4City, and our Roadmap Snap4City: the view of the Administrators <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/depliantsnap4cityfull-ok-181101081439-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Dashboards: from City Dashboard to Applications Data gathering and City Data Knowledge Management Forging &amp; Managing Open and Flexible Web and Mobile Apps IOT/IOE Devices and Networks IOT Applications, the Logic and the Smartness IOT Applications vs IOT Edge Devices Advanced Smart City API, MicroServices, Snap4City API Snap4City Living Lab for Collaborative Work Snap4City for Beginners Open to developers and stakeholders Snap4City Architecture and Ecosystem Decision Support System vs Resilience Twitter Vigilance: Social Media Analysis Snap4City and Km4City Projects How to Adopt Snap4City, and our Roadmap Snap4City: the view of the Administrators
Snap4City: SCALABLE SMART ANALYTIC APPLICATION BUILDER FOR SENTIENT CITIES from Paolo Nesi
]]> 453 1 https://cdn.slidesharecdn.com/ss_thumbnails/depliantsnap4cityfull-ok-181101081439-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data, Open data, IOT /paolonesi/big-data-open-data-iot bigdata-dataanalytics-iot-smart-city-v2-2-181020213641
The data! Services from Data via Smart City API IOT Applications and IOT Personal Data vs Open Big Data Analytics App as data collection and User Engagement Social Media Analysis Visual Analytics and Dashboards The Living Lab Approach ]]>
The data! Services from Data via Smart City API IOT Applications and IOT Personal Data vs Open Big Data Analytics App as data collection and User Engagement Social Media Analysis Visual Analytics and Dashboards The Living Lab Approach ]]> Sat, 20 Oct 2018 21:36:41 GMT /paolonesi/big-data-open-data-iot paolonesi@slideshare.net(paolonesi) Big Data, Open data, IOT paolonesi The data! Services from Data via Smart City API IOT Applications and IOT Personal Data vs Open Big Data Analytics App as data collection and User Engagement Social Media Analysis Visual Analytics and Dashboards The Living Lab Approach <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdata-dataanalytics-iot-smart-city-v2-2-181020213641-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The data! Services from Data via Smart City API IOT Applications and IOT Personal Data vs Open Big Data Analytics App as data collection and User Engagement Social Media Analysis Visual Analytics and Dashboards The Living Lab Approach
Big Data, Open data, IOT from Paolo Nesi
]]> 347 1 https://cdn.slidesharecdn.com/ss_thumbnails/bigdata-dataanalytics-iot-smart-city-v2-2-181020213641-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Gli open data nella citt intelligente /slideshow/gli-open-data-nella-citt-intelligente/119230454 km4city-snap4city-geomarketing-v10-8-181012173357
Aggregate & integrate data Multiple protocols from urban operators, .... open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ... Data Exploitation performing predictions, reasoning, business intelligence, .. users behavior analysis, decision support system, .. Control Room, Real Time Monitoring tools, . Produce value from data enabling to Stimulate virtuous behavior, influence City Users! Put in action CITY Strategies Thanks to the European Commission for founding. All slides reporting logo of RESOLUTE H2020 are representing tools and research founded by European Commission for the RESOLUTE project. RESOLUTE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n属 653460). Thanks to the European Commission for founding. All slides reporting logo of REPLICATE H2020 are representing tools and research founded by European Commission for the REPLICATE project. REPLICATE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n属 691735). Thanks to the MIUR for co-fouding and to the University of Florence and companies involved. All slides reporting logo of Sii-Mobility are representing tools and research founded by MIUR for the Sii-Mobility SCN MIUR project. Thanks to the European Commission for founding. All slides reporting logo of Snap4City https://www.snap4city.org of Select4Cities H2020 are representing tools and research founded by European Commission for the Select4Cities project. Select4Cities has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n属 688196) Km4City is an open technology exploited by those projects and line of research of DISIT Lab. Some of the innovative solutions and research issues developed into the above mentioned projects are also compliant and contributing to the Km4City approach and thus are contributing to the open Km4City model of DISIT lab. ]]>
Aggregate & integrate data Multiple protocols from urban operators, .... open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ... Data Exploitation performing predictions, reasoning, business intelligence, .. users behavior analysis, decision support system, .. Control Room, Real Time Monitoring tools, . Produce value from data enabling to Stimulate virtuous behavior, influence City Users! Put in action CITY Strategies Thanks to the European Commission for founding. All slides reporting logo of RESOLUTE H2020 are representing tools and research founded by European Commission for the RESOLUTE project. RESOLUTE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n属 653460). Thanks to the European Commission for founding. All slides reporting logo of REPLICATE H2020 are representing tools and research founded by European Commission for the REPLICATE project. REPLICATE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n属 691735). Thanks to the MIUR for co-fouding and to the University of Florence and companies involved. All slides reporting logo of Sii-Mobility are representing tools and research founded by MIUR for the Sii-Mobility SCN MIUR project. Thanks to the European Commission for founding. All slides reporting logo of Snap4City https://www.snap4city.org of Select4Cities H2020 are representing tools and research founded by European Commission for the Select4Cities project. Select4Cities has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n属 688196) Km4City is an open technology exploited by those projects and line of research of DISIT Lab. Some of the innovative solutions and research issues developed into the above mentioned projects are also compliant and contributing to the Km4City approach and thus are contributing to the open Km4City model of DISIT lab. ]]> Fri, 12 Oct 2018 17:33:57 GMT /slideshow/gli-open-data-nella-citt-intelligente/119230454 paolonesi@slideshare.net(paolonesi) Gli open data nella citt intelligente paolonesi Aggregate & integrate data Multiple protocols from urban operators, .... open data, IOT, sensors, internet of everything, 鐃cloud, mobile devices, Wi-Fi, social media, ... Data Exploitation performing predictions, reasoning, business intelligence, .. users behavior analysis, decision support system, .. Control Room, Real Time Monitoring tools, . Produce value from data enabling to Stimulate virtuous behavior, influence City Users! Put in action CITY Strategies Thanks to the European Commission for founding. All slides reporting logo of RESOLUTE H2020 are representing tools and research founded by European Commission for the RESOLUTE project. RESOLUTE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n属 653460). Thanks to the European Commission for founding. All slides reporting logo of REPLICATE H2020 are representing tools and research founded by European Commission for the REPLICATE project. REPLICATE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n属 691735). Thanks to the MIUR for co-fouding and to the University of Florence and companies involved. All slides reporting logo of Sii-Mobility are representing tools and research founded by MIUR for the Sii-Mobility SCN MIUR project. Thanks to the European Commission for founding. All slides reporting logo of Snap4City https://www.snap4city.org of Select4Cities H2020 are representing tools and research founded by European Commission for the Select4Cities project. Select4Cities has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n属 688196) Km4City is an open technology exploited by those projects and line of research of DISIT Lab. Some of the innovative solutions and research issues developed into the above mentioned projects are also compliant and contributing to the Km4City approach and thus are contributing to the open Km4City model of DISIT lab. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/km4city-snap4city-geomarketing-v10-8-181012173357-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Aggregate &amp; integrate data Multiple protocols from urban operators, .... open data, IOT, sensors, internet of everything, 鐃cloud, mobile devices, Wi-Fi, social media, ... Data Exploitation performing predictions, reasoning, business intelligence, .. users behavior analysis, decision support system, .. Control Room, Real Time Monitoring tools, . Produce value from data enabling to Stimulate virtuous behavior, influence City Users! Put in action CITY Strategies Thanks to the European Commission for founding. All slides reporting logo of RESOLUTE H2020 are representing tools and research founded by European Commission for the RESOLUTE project. RESOLUTE has received funding from the European Research Council (ERC) under the European Union&#39;s Horizon 2020 research and innovation programme (grant agreement n属 653460). Thanks to the European Commission for founding. All slides reporting logo of REPLICATE H2020 are representing tools and research founded by European Commission for the REPLICATE project. REPLICATE has received funding from the European Research Council (ERC) under the European Union&#39;s Horizon 2020 research and innovation programme (grant agreement n属 691735). Thanks to the MIUR for co-fouding and to the University of Florence and companies involved. All slides reporting logo of Sii-Mobility are representing tools and research founded by MIUR for the Sii-Mobility SCN MIUR project. Thanks to the European Commission for founding. All slides reporting logo of Snap4City https://www.snap4city.org of Select4Cities H2020 are representing tools and research founded by European Commission for the Select4Cities project. Select4Cities has received funding from the European Research Council (ERC) under the European Union&#39;s Horizon 2020 research and innovation programme (grant agreement n属 688196) Km4City is an open technology exploited by those projects and line of research of DISIT Lab. Some of the innovative solutions and research issues developed into the above mentioned projects are also compliant and contributing to the Km4City approach and thus are contributing to the open Km4City model of DISIT lab.
Gli open data nella citt intelligente from Paolo Nesi
]]> 234 1 https://cdn.slidesharecdn.com/ss_thumbnails/km4city-snap4city-geomarketing-v10-8-181012173357-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Complexity of IOT/IOE Architectures for Smart Service Infrastructures Panel: Cyber-Physical-Social sensing for the future smart world /slideshow/complexity-of-iotioe-architectures-for-smart-service-infrastructures-panel-cyberphysicalsocial-sensing-for-the-future-smart-world/119098665 snap4city-ieee-sci-cina-panel-v13-6-finale-181011095018
The complexity of smart and sentient applications in smart cities is progressively increasing. to reach higher precision. time series prediction artificial intelligent, machine learning Single data sets multi data sets, and big data: addressing heterogeneity, low quality and discontinuity, etc. integration of open data, real time data and private IOT / personal data is increasing complexity of cyber-physical-social aspects: to have the full control on the rights associated to their content GDPR normative (since May 2018 in force) to regulate the access and control of privacy I am bringing the experience of addressing GDPR and Security and into Smart City Solutions with IOT -----smart city impact---------------- Signed Consent vs Informed Consent Smart Applications exploit personal data about (for example) user position and actions for providing geolocated suggestions home/work position, trajectories, Payments and traces from bike sharing, from navigators, etc. body signals/data for monitoring healthiness (glucose, temperature, etc.), for training sport, .. User actions on applications: choices on menu, queries performed, mobile phones, requested paths, payments, etc. IOT Devices data: mobile, buttons, trackers, but also temperature in house; position of our dogs, children, cars, bikes, etc. ----GDPR: General Data Protection Regulation --- Users are going to decide to: provide access to who, for do what, until we consent accept terms of use by signed consent for each data management service, before was a simple informed consent from each service, the user has to be capable to See what the provider collect in terms of its Data Type: traces, logs, paths, profiles, accesses, IOT devices, sensors, maps, etc. Download, delete, inspect each single Data Type Auditing and Revoke access or grant access right to each single Data Type Delete all Data Types in single shot or singularly (forget all about me)]]>
The complexity of smart and sentient applications in smart cities is progressively increasing. to reach higher precision. time series prediction artificial intelligent, machine learning Single data sets multi data sets, and big data: addressing heterogeneity, low quality and discontinuity, etc. integration of open data, real time data and private IOT / personal data is increasing complexity of cyber-physical-social aspects: to have the full control on the rights associated to their content GDPR normative (since May 2018 in force) to regulate the access and control of privacy I am bringing the experience of addressing GDPR and Security and into Smart City Solutions with IOT -----smart city impact---------------- Signed Consent vs Informed Consent Smart Applications exploit personal data about (for example) user position and actions for providing geolocated suggestions home/work position, trajectories, Payments and traces from bike sharing, from navigators, etc. body signals/data for monitoring healthiness (glucose, temperature, etc.), for training sport, .. User actions on applications: choices on menu, queries performed, mobile phones, requested paths, payments, etc. IOT Devices data: mobile, buttons, trackers, but also temperature in house; position of our dogs, children, cars, bikes, etc. ----GDPR: General Data Protection Regulation --- Users are going to decide to: provide access to who, for do what, until we consent accept terms of use by signed consent for each data management service, before was a simple informed consent from each service, the user has to be capable to See what the provider collect in terms of its Data Type: traces, logs, paths, profiles, accesses, IOT devices, sensors, maps, etc. Download, delete, inspect each single Data Type Auditing and Revoke access or grant access right to each single Data Type Delete all Data Types in single shot or singularly (forget all about me)]]> Thu, 11 Oct 2018 09:50:18 GMT /slideshow/complexity-of-iotioe-architectures-for-smart-service-infrastructures-panel-cyberphysicalsocial-sensing-for-the-future-smart-world/119098665 paolonesi@slideshare.net(paolonesi) Complexity of IOT/IOE Architectures for Smart Service Infrastructures Panel: Cyber-Physical-Social sensing for the future smart world paolonesi The complexity of smart and sentient applications in smart cities is progressively increasing. to reach higher precision. time series prediction artificial intelligent, machine learning Single data sets multi data sets, and big data: addressing heterogeneity, low quality and discontinuity, etc. integration of open data, real time data and private IOT / personal data 鐃is increasing complexity of cyber-physical-social aspects: to have the full control on the rights associated to their content GDPR normative (since May 2018 in force) to regulate the access and control of privacy I am bringing the experience of addressing GDPR and Security and into Smart City Solutions with IOT -----smart city impact---------------- Signed Consent vs Informed Consent Smart Applications exploit personal data about (for example) user position and actions for providing geolocated suggestions home/work position, trajectories, Payments and traces from bike sharing, from navigators, etc. body signals/data for monitoring healthiness (glucose, temperature, etc.), for training sport, .. User actions on applications: choices on menu, queries performed, mobile phones, requested paths, payments, etc. IOT Devices data: mobile, buttons, trackers, but also temperature in house; position of our dogs, children, cars, bikes, etc. ----GDPR: General Data Protection Regulation --- Users are going to decide to: provide access to who, for do what, until we consent accept terms of use by signed consent for each data 鐃management service, before was a simple informed consent from each service, the user has to be capable to See what the provider collect in terms of its Data Type: traces, logs, paths, profiles, accesses, IOT devices, sensors, maps, etc. Download, delete, inspect each single Data Type Auditing and Revoke access or grant access right to each single Data Type Delete all Data Types in single shot or singularly (forget all about me) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-ieee-sci-cina-panel-v13-6-finale-181011095018-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The complexity of smart and sentient applications in smart cities is progressively increasing. to reach higher precision. time series prediction artificial intelligent, machine learning Single data sets multi data sets, and big data: addressing heterogeneity, low quality and discontinuity, etc. integration of open data, real time data and private IOT / personal data 鐃is increasing complexity of cyber-physical-social aspects: to have the full control on the rights associated to their content GDPR normative (since May 2018 in force) to regulate the access and control of privacy I am bringing the experience of addressing GDPR and Security and into Smart City Solutions with IOT -----smart city impact---------------- Signed Consent vs Informed Consent Smart Applications exploit personal data about (for example) user position and actions for providing geolocated suggestions home/work position, trajectories, Payments and traces from bike sharing, from navigators, etc. body signals/data for monitoring healthiness (glucose, temperature, etc.), for training sport, .. User actions on applications: choices on menu, queries performed, mobile phones, requested paths, payments, etc. IOT Devices data: mobile, buttons, trackers, but also temperature in house; position of our dogs, children, cars, bikes, etc. ----GDPR: General Data Protection Regulation --- Users are going to decide to: provide access to who, for do what, until we consent accept terms of use by signed consent for each data 鐃management service, before was a simple informed consent from each service, the user has to be capable to See what the provider collect in terms of its Data Type: traces, logs, paths, profiles, accesses, IOT devices, sensors, maps, etc. Download, delete, inspect each single Data Type Auditing and Revoke access or grant access right to each single Data Type Delete all Data Types in single shot or singularly (forget all about me)
Complexity of IOT/IOE Architectures for Smart Service Infrastructures Panel: Cyber-Physical-Social sensing for the future smart world from Paolo Nesi
]]> 68 2 https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-ieee-sci-cina-panel-v13-6-finale-181011095018-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Snap4City: Smart City IOT/IOE Platform scalable Smart aNalytic APplication builder for sentient Cities /slideshow/snap4city-smart-city-iotioe-platform-scalable-smart-analytic-application-builder-for-sentient-cities/119097648 snap4city-ieee-sci-cina-v13-5-181011094231
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is 100% open source: robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, GDPR, and city dashboards. extending with IOT/IOE the semantic reasoner of Km4City https://www.km4city.org Km4City has been validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and million of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, .. thus setting up smart city solutions in a snap Serve as a City Dashboard, App User Interface, etc. Real time and historical data, any device, sensors and actuators Sensors, KPI, maps, data trends, real time data, charts, etc. Referral / historical data, and Open Data: shadow, access (API, storage, any protocol), production of OD, export Data Driven Real Time communication & processing: IOT Applications, IOT edge, multiple operating systems, embedded systems, MicroServices in/out data driven from/to the field into: applications, notifications, etc. Data Analytics: Machine Learning, statistics, reasoning, Serve as Living Lab: open innovation, coworking; collaborative work; sharing: data, processes, dashboard, experiences, solutions, . Experimented on large scale cases ]]>
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is 100% open source: robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, GDPR, and city dashboards. extending with IOT/IOE the semantic reasoner of Km4City https://www.km4city.org Km4City has been validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and million of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, .. thus setting up smart city solutions in a snap Serve as a City Dashboard, App User Interface, etc. Real time and historical data, any device, sensors and actuators Sensors, KPI, maps, data trends, real time data, charts, etc. Referral / historical data, and Open Data: shadow, access (API, storage, any protocol), production of OD, export Data Driven Real Time communication & processing: IOT Applications, IOT edge, multiple operating systems, embedded systems, MicroServices in/out data driven from/to the field into: applications, notifications, etc. Data Analytics: Machine Learning, statistics, reasoning, Serve as Living Lab: open innovation, coworking; collaborative work; sharing: data, processes, dashboard, experiences, solutions, . Experimented on large scale cases ]]> Thu, 11 Oct 2018 09:42:31 GMT /slideshow/snap4city-smart-city-iotioe-platform-scalable-smart-analytic-application-builder-for-sentient-cities/119097648 paolonesi@slideshare.net(paolonesi) Snap4City: Smart City IOT/IOE Platform scalable Smart aNalytic APplication builder for sentient Cities paolonesi Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is 100% open source: robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, GDPR, and city dashboards. extending with IOT/IOE the semantic reasoner of Km4City https://www.km4city.org Km4City has been validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and million of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, .. thus setting up smart city solutions in a snap Serve as a City Dashboard, App User Interface, etc. Real time and historical data, any device, sensors and actuators Sensors, KPI, maps, data trends, real time data, charts, etc. Referral / historical data, and Open Data: shadow, access (API, storage, any protocol), production of OD, export Data Driven Real Time communication & processing: IOT Applications, IOT edge, multiple operating systems, embedded systems, MicroServices in/out data driven from/to the field into: applications, notifications, etc. Data Analytics: Machine Learning, statistics, reasoning, Serve as Living Lab: open innovation, coworking; collaborative work; sharing: data, processes, dashboard, experiences, solutions, . Experimented on large scale cases <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-ieee-sci-cina-v13-5-181011094231-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is 100% open source: robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, GDPR, and city dashboards. extending with IOT/IOE the semantic reasoner of Km4City https://www.km4city.org Km4City has been validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and million of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, .. thus setting up smart city solutions in a snap Serve as a City Dashboard, App User Interface, etc. Real time and historical data, any device, sensors and actuators Sensors, KPI, maps, data trends, real time data, charts, etc. Referral / historical data, and Open Data: shadow, access (API, storage, any protocol), production of OD, export Data Driven Real Time communication &amp; processing: IOT Applications, IOT edge, multiple operating systems, embedded systems, MicroServices in/out data driven from/to the field into: applications, notifications, etc. Data Analytics: Machine Learning, statistics, reasoning, Serve as Living Lab: open innovation, coworking; collaborative work; sharing: data, processes, dashboard, experiences, solutions, . Experimented on large scale cases
Snap4City: Smart City IOT/IOE Platform scalable Smart aNalytic APplication builder for sentient Cities from Paolo Nesi
]]> 95 1 https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-ieee-sci-cina-v13-5-181011094231-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Open Urban Platform: Technical View 2018: Km4City /slideshow/open-urban-platform-technical-view-2018-km4city/116708953 km4city-technical-overview-v10-5b-comunefirenze-180926165009
Aggregate & integrate data Multiple protocols from urban operators, .... open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ... Data Exploitation performing predictions, reasoning, business intelligence, .. users behavior analysis, decision support system, .. Control Room, Real Time Monitoring tools, . Produce value from data enabling to Stimulate virtuous behavior, influence City Users! Put in action CITY Strategies ]]>
Aggregate & integrate data Multiple protocols from urban operators, .... open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ... Data Exploitation performing predictions, reasoning, business intelligence, .. users behavior analysis, decision support system, .. Control Room, Real Time Monitoring tools, . Produce value from data enabling to Stimulate virtuous behavior, influence City Users! Put in action CITY Strategies ]]> Wed, 26 Sep 2018 16:50:09 GMT /slideshow/open-urban-platform-technical-view-2018-km4city/116708953 paolonesi@slideshare.net(paolonesi) Open Urban Platform: Technical View 2018: Km4City paolonesi Aggregate & integrate data Multiple protocols from urban operators, .... open data, IOT, sensors, internet of everything, 鐃cloud, mobile devices, Wi-Fi, social media, ... Data Exploitation performing predictions, reasoning, business intelligence, .. users behavior analysis, decision support system, .. Control Room, Real Time Monitoring tools, . Produce value from data enabling to Stimulate virtuous behavior, influence City Users! Put in action CITY Strategies <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/km4city-technical-overview-v10-5b-comunefirenze-180926165009-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Aggregate &amp; integrate data Multiple protocols from urban operators, .... open data, IOT, sensors, internet of everything, 鐃cloud, mobile devices, Wi-Fi, social media, ... Data Exploitation performing predictions, reasoning, business intelligence, .. users behavior analysis, decision support system, .. Control Room, Real Time Monitoring tools, . Produce value from data enabling to Stimulate virtuous behavior, influence City Users! Put in action CITY Strategies
Open Urban Platform: Technical View 2018: Km4City from Paolo Nesi
]]> 218 1 https://cdn.slidesharecdn.com/ss_thumbnails/km4city-technical-overview-v10-5b-comunefirenze-180926165009-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 scalable Smart aNalytic APplication builder for sentient Cities Overview -- September 2018 /slideshow/scalable-smart-analytic-application-builder-for-sentient-cities-overview-september-2018/116134937 snap4city-km4city-overview-v13-1b-180923153956
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Km4City has been validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and million of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, .. thus setting up smart city solutions in a snap ]]>
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Km4City has been validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and million of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, .. thus setting up smart city solutions in a snap ]]> Sun, 23 Sep 2018 15:39:55 GMT /slideshow/scalable-smart-analytic-application-builder-for-sentient-cities-overview-september-2018/116134937 paolonesi@slideshare.net(paolonesi) scalable Smart aNalytic APplication builder for sentient Cities Overview -- September 2018 paolonesi Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Km4City has been validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and million of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, .. thus setting up smart city solutions in a snap <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-km4city-overview-v13-1b-180923153956-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Km4City has been validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and million of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, .. thus setting up smart city solutions in a snap
scalable Smart aNalytic APplication builder for sentient Cities Overview -- September 2018 from Paolo Nesi
]]> 107 1 https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-km4city-overview-v13-1b-180923153956-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Snap4City a Solution for highly collaborative Smart Cities Environments /slideshow/snap4city-a-solution-for-highly-collaborative-smart-cities-environments-116127223/116127223 snap4city-overview-icity-v12-8c-180923143258
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4City (Https://www.snap4city.org ) is a solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc. Snap4City/Km4City has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions. ]]>
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4City (Https://www.snap4city.org ) is a solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc. Snap4City/Km4City has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions. ]]> Sun, 23 Sep 2018 14:32:58 GMT /slideshow/snap4city-a-solution-for-highly-collaborative-smart-cities-environments-116127223/116127223 paolonesi@slideshare.net(paolonesi) Snap4City a Solution for highly collaborative Smart Cities Environments paolonesi Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4City (Https://www.snap4city.org ) is a solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc. Snap4City/Km4City has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-overview-icity-v12-8c-180923143258-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4City (Https://www.snap4city.org ) is a solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc. Snap4City/Km4City has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions.
Snap4City a Solution for highly collaborative Smart Cities Environments from Paolo Nesi
]]> 180 1 https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-overview-icity-v12-8c-180923143258-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 IOT/IOE Elastically Scalable Architecture for Smart City and Industry 4.0 /slideshow/iotioe-elastically-scalable-architecture-for-smart-city-and-industry-40/116125871 scaling-icities-v12-8c-180923142044
Snap4 has been created as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4 is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4 for Smart city is Snap4City (Https://www.snap4city.org ) is an open platform and solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc. Snap4city has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions. The solution is fully complient with NodeJS with nodex published on JS foundation, is powered by Fi-Ware, compliant with LoraWan, SigFox, Mqtt, AMQP, Coap, NGSI, OMAM2M, WSs, Https, powered by Km4City, TensorFlow NVIDIA, Hadoop, etc. etc. slides and demos: the platform includes full stack, any format, any protocol, from IOT Device, IOT Edges, Data Analytics, and Dashboards. ]]>
Snap4 has been created as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4 is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4 for Smart city is Snap4City (Https://www.snap4city.org ) is an open platform and solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc. Snap4city has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions. The solution is fully complient with NodeJS with nodex published on JS foundation, is powered by Fi-Ware, compliant with LoraWan, SigFox, Mqtt, AMQP, Coap, NGSI, OMAM2M, WSs, Https, powered by Km4City, TensorFlow NVIDIA, Hadoop, etc. etc. slides and demos: the platform includes full stack, any format, any protocol, from IOT Device, IOT Edges, Data Analytics, and Dashboards. ]]> Sun, 23 Sep 2018 14:20:44 GMT /slideshow/iotioe-elastically-scalable-architecture-for-smart-city-and-industry-40/116125871 paolonesi@slideshare.net(paolonesi) IOT/IOE Elastically Scalable Architecture for Smart City and Industry 4.0 paolonesi Snap4 has been created as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4 is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4 for Smart city is Snap4City (Https://www.snap4city.org ) is an open platform and solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc. Snap4city has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions. The solution is fully complient with NodeJS with nodex published on JS foundation, is powered by Fi-Ware, compliant with LoraWan, SigFox, Mqtt, AMQP, Coap, NGSI, OMAM2M, WSs, Https, powered by Km4City, TensorFlow NVIDIA, Hadoop, etc. etc. slides and demos: the platform includes full stack, any format, any protocol, from IOT Device, IOT Edges, Data Analytics, and Dashboards. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/scaling-icities-v12-8c-180923142044-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Snap4 has been created as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4 is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4 for Smart city is Snap4City (Https://www.snap4city.org ) is an open platform and solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc. Snap4city has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions. The solution is fully complient with NodeJS with nodex published on JS foundation, is powered by Fi-Ware, compliant with LoraWan, SigFox, Mqtt, AMQP, Coap, NGSI, OMAM2M, WSs, Https, powered by Km4City, TensorFlow NVIDIA, Hadoop, etc. etc. slides and demos: the platform includes full stack, any format, any protocol, from IOT Device, IOT Edges, Data Analytics, and Dashboards.
IOT/IOE Elastically Scalable Architecture for Smart City and Industry 4.0 from Paolo Nesi
]]> 117 1 https://cdn.slidesharecdn.com/ss_thumbnails/scaling-icities-v12-8c-180923142044-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Keynote: Making Smarter Tuscany and Florence with Km4City /paolonesi/keynote-making-smarter-tuscany-and-florence-with-km4city ieee-sci-vip-v0-4-170812181921
Keynote at International Summit on Smart World and Smart Cities, In Conjunction With 2017 IEEE Smart World Congress August 5, 2017, San Francisco, USA http://smart-city-conference.com/summit2017/ Sentient Urban Platform for Smart City Set up an ICT based Urban Platform integrated and unified data management among services, city operators and city users: Control Room, Real Time Monitoring decision support, assessing and monitoring risk and resilience Data analytics and business intelligence predictions, reasoning, city users behavior analysis, . Reading the city: big data, users behavior and needs, ... IOT, Open data sensors, private data, static and real time data. City Strategies: stimulate virtuous behavior of City Users participation, totem, twitter, Apps, etc. Transform Data into value Put in action smart city innovative solutions and services, development tools What is enabling and providing smart services Smart Parking, in Tuscany Smart First Aid in Tuscany Smart Fuel pricing in Tuscany Smart search for POI and public transport srv. Public Transportation in Tuscany Routing and multimodal in Tuscany Social Media Monitoring and acting Traffic events and Resilience in Florence Bike Sharing in Pisa and Siena Recharge stations for e-vehicles Entertainment Events in Florence Traffic Sensors in Tuscany Weather forecast/condition in Tuscany Pollution and Pollination in Tuscany People Monitoring Assessment in the City, in Florence via WiFi People Monitoring, in Tuscany via App All Point of Interests, cultural activities, IOT, Over than 1.2 Million of complex events per day! ]]>
Keynote at International Summit on Smart World and Smart Cities, In Conjunction With 2017 IEEE Smart World Congress August 5, 2017, San Francisco, USA http://smart-city-conference.com/summit2017/ Sentient Urban Platform for Smart City Set up an ICT based Urban Platform integrated and unified data management among services, city operators and city users: Control Room, Real Time Monitoring decision support, assessing and monitoring risk and resilience Data analytics and business intelligence predictions, reasoning, city users behavior analysis, . Reading the city: big data, users behavior and needs, ... IOT, Open data sensors, private data, static and real time data. City Strategies: stimulate virtuous behavior of City Users participation, totem, twitter, Apps, etc. Transform Data into value Put in action smart city innovative solutions and services, development tools What is enabling and providing smart services Smart Parking, in Tuscany Smart First Aid in Tuscany Smart Fuel pricing in Tuscany Smart search for POI and public transport srv. Public Transportation in Tuscany Routing and multimodal in Tuscany Social Media Monitoring and acting Traffic events and Resilience in Florence Bike Sharing in Pisa and Siena Recharge stations for e-vehicles Entertainment Events in Florence Traffic Sensors in Tuscany Weather forecast/condition in Tuscany Pollution and Pollination in Tuscany People Monitoring Assessment in the City, in Florence via WiFi People Monitoring, in Tuscany via App All Point of Interests, cultural activities, IOT, Over than 1.2 Million of complex events per day! ]]> Sat, 12 Aug 2017 18:19:21 GMT /paolonesi/keynote-making-smarter-tuscany-and-florence-with-km4city paolonesi@slideshare.net(paolonesi) Keynote: Making Smarter Tuscany and Florence with Km4City paolonesi Keynote at International Summit on Smart World and Smart Cities, In Conjunction With 2017 IEEE Smart World Congress August 5, 2017, San Francisco, USA http://smart-city-conference.com/summit2017/ Sentient Urban Platform for Smart City Set up an ICT based Urban Platform integrated and unified data management among services, city operators and city users: Control Room, Real Time Monitoring decision support, assessing and monitoring risk and resilience Data analytics and business intelligence predictions, reasoning, city users behavior analysis, . Reading the city: big data, users behavior and needs, ... IOT, Open data sensors, private data, static and real time data. City Strategies: stimulate virtuous behavior of City Users participation, totem, twitter, Apps, etc. Transform Data into value Put in action smart city innovative solutions and services, 鐃development tools What is enabling and providing smart services Smart Parking, in Tuscany Smart First Aid in Tuscany Smart Fuel pricing in Tuscany Smart search for POI and public transport srv. Public Transportation in Tuscany Routing and multimodal in Tuscany Social Media Monitoring and acting Traffic events and Resilience in Florence Bike Sharing in Pisa and Siena Recharge stations for e-vehicles Entertainment Events in Florence Traffic Sensors in Tuscany Weather forecast/condition in Tuscany Pollution and Pollination in Tuscany People Monitoring Assessment in the City, in Florence via WiFi People Monitoring, in Tuscany via App All Point of Interests, cultural activities, IOT, Over than 1.2 Million of complex events per day! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ieee-sci-vip-v0-4-170812181921-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Keynote at International Summit on Smart World and Smart Cities, In Conjunction With 2017 IEEE Smart World Congress August 5, 2017, San Francisco, USA http://smart-city-conference.com/summit2017/ Sentient Urban Platform for Smart City Set up an ICT based Urban Platform integrated and unified data management among services, city operators and city users: Control Room, Real Time Monitoring decision support, assessing and monitoring risk and resilience Data analytics and business intelligence predictions, reasoning, city users behavior analysis, . Reading the city: big data, users behavior and needs, ... IOT, Open data sensors, private data, static and real time data. City Strategies: stimulate virtuous behavior of City Users participation, totem, twitter, Apps, etc. Transform Data into value Put in action smart city innovative solutions and services, 鐃development tools What is enabling and providing smart services Smart Parking, in Tuscany Smart First Aid in Tuscany Smart Fuel pricing in Tuscany Smart search for POI and public transport srv. Public Transportation in Tuscany Routing and multimodal in Tuscany Social Media Monitoring and acting Traffic events and Resilience in Florence Bike Sharing in Pisa and Siena Recharge stations for e-vehicles Entertainment Events in Florence Traffic Sensors in Tuscany Weather forecast/condition in Tuscany Pollution and Pollination in Tuscany People Monitoring Assessment in the City, in Florence via WiFi People Monitoring, in Tuscany via App All Point of Interests, cultural activities, IOT, Over than 1.2 Million of complex events per day!
Keynote: Making Smarter Tuscany and Florence with Km4City from Paolo Nesi
]]> 669 3 https://cdn.slidesharecdn.com/ss_thumbnails/ieee-sci-vip-v0-4-170812181921-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Twitter Vigilance: a Multi-User platform for Cross-Domain Twitter Data Analytics, NLP and Sentiment Analysis /slideshow/twitter-vigilance-a-multiuser-platform-for-crossdomain-twitter-data-analytics-nlp-and-sentiment-analysis/78791488 ieee-sci-2017-tvigilance-v0-2-170812181611
Citizens as sensors to Assess sentiment on services, events, Response of consumers wrt Early detection of critical conditions Information channel Opinion leaders Communities Formation Predicting volume of visitors for tuning the services Collecting Tweets on the basis of several criterial, searches Multiple users may have multiple searches and multiple purposes (views on those searches) minimization of searches With high reliable model exploiting Twitter Search and/or Stream API Performing NLP and Sentiment Analysis Real time or daily Multiple languages Compute Metrics: different kinds, etc.: volume, users, etc.. Low and High Level, Work on daily, hourly and real time Downloading data: raw data and derived metrics Providing support for drilling down on data to perform inspection and analysis, faceted search for instance perform data analytics exploiting metrics on Machine Learning and predictive tools Providing API for querying, dashboard The IEEE Smart World Congress originated from the 2005 Workshop on Ubiquitous Smart Worlds (USW, Taipei) and the 2005 Symposium on Ubiquitous Intelligence and Smart World (UISW, Nagasaki). SmartWorld 2017 in San Francisco is the next edition after the successful SmartWorld 2016 in Toulouse France and SmartWorld 2015 in Beijing China. SmartWorld 2017 is to provide a high-profile, leading-edge platform for researchers and engineers to exchange and explore state-of-art advances and innovations in graceful integrations of Cyber, Physical, Social, and Thinking Worlds for the theme http://ieee-smartworld.org/2017/smartworld/]]>
Citizens as sensors to Assess sentiment on services, events, Response of consumers wrt Early detection of critical conditions Information channel Opinion leaders Communities Formation Predicting volume of visitors for tuning the services Collecting Tweets on the basis of several criterial, searches Multiple users may have multiple searches and multiple purposes (views on those searches) minimization of searches With high reliable model exploiting Twitter Search and/or Stream API Performing NLP and Sentiment Analysis Real time or daily Multiple languages Compute Metrics: different kinds, etc.: volume, users, etc.. Low and High Level, Work on daily, hourly and real time Downloading data: raw data and derived metrics Providing support for drilling down on data to perform inspection and analysis, faceted search for instance perform data analytics exploiting metrics on Machine Learning and predictive tools Providing API for querying, dashboard The IEEE Smart World Congress originated from the 2005 Workshop on Ubiquitous Smart Worlds (USW, Taipei) and the 2005 Symposium on Ubiquitous Intelligence and Smart World (UISW, Nagasaki). SmartWorld 2017 in San Francisco is the next edition after the successful SmartWorld 2016 in Toulouse France and SmartWorld 2015 in Beijing China. SmartWorld 2017 is to provide a high-profile, leading-edge platform for researchers and engineers to exchange and explore state-of-art advances and innovations in graceful integrations of Cyber, Physical, Social, and Thinking Worlds for the theme http://ieee-smartworld.org/2017/smartworld/]]> Sat, 12 Aug 2017 18:16:11 GMT /slideshow/twitter-vigilance-a-multiuser-platform-for-crossdomain-twitter-data-analytics-nlp-and-sentiment-analysis/78791488 paolonesi@slideshare.net(paolonesi) Twitter Vigilance: a Multi-User platform for Cross-Domain Twitter Data Analytics, NLP and Sentiment Analysis paolonesi Citizens as sensors to Assess sentiment on services, events, Response of consumers wrt Early detection of critical conditions Information channel Opinion leaders Communities Formation Predicting volume of visitors for tuning the services Collecting Tweets on the basis of several criterial, searches Multiple users may have multiple searches and multiple purposes (views on those searches) minimization of searches With high reliable model exploiting Twitter Search and/or Stream API Performing NLP and Sentiment Analysis Real time or daily Multiple languages Compute Metrics: different kinds, etc.: volume, users, etc.. Low and High Level, Work on daily, hourly and real time Downloading data: raw data and derived metrics Providing support for drilling down on data to perform inspection and analysis, faceted search for instance perform data analytics exploiting metrics on Machine Learning and predictive tools Providing API for querying, dashboard The IEEE Smart World Congress originated from the 2005 Workshop on Ubiquitous Smart Worlds (USW, Taipei) and the 2005 Symposium on Ubiquitous Intelligence and Smart World (UISW, Nagasaki). SmartWorld 2017 in San Francisco is the next edition after the successful SmartWorld 2016 in Toulouse France and SmartWorld 2015 in Beijing China. SmartWorld 2017 is to provide a high-profile, leading-edge platform for researchers and engineers to exchange and explore state-of-art advances and innovations in graceful integrations of Cyber, Physical, Social, and Thinking Worlds for the theme http://ieee-smartworld.org/2017/smartworld/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ieee-sci-2017-tvigilance-v0-2-170812181611-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Citizens as sensors to Assess sentiment on services, events, Response of consumers wrt Early detection of critical conditions Information channel Opinion leaders Communities Formation Predicting volume of visitors for tuning the services Collecting Tweets on the basis of several criterial, searches Multiple users may have multiple searches and multiple purposes (views on those searches) minimization of searches With high reliable model exploiting Twitter Search and/or Stream API Performing NLP and Sentiment Analysis Real time or daily Multiple languages Compute Metrics: different kinds, etc.: volume, users, etc.. Low and High Level, Work on daily, hourly and real time Downloading data: raw data and derived metrics Providing support for drilling down on data to perform inspection and analysis, faceted search for instance perform data analytics exploiting metrics on Machine Learning and predictive tools Providing API for querying, dashboard The IEEE Smart World Congress originated from the 2005 Workshop on Ubiquitous Smart Worlds (USW, Taipei) and the 2005 Symposium on Ubiquitous Intelligence and Smart World (UISW, Nagasaki). SmartWorld 2017 in San Francisco is the next edition after the successful SmartWorld 2016 in Toulouse France and SmartWorld 2015 in Beijing China. SmartWorld 2017 is to provide a high-profile, leading-edge platform for researchers and engineers to exchange and explore state-of-art advances and innovations in graceful integrations of Cyber, Physical, Social, and Thinking Worlds for the theme http://ieee-smartworld.org/2017/smartworld/
Twitter Vigilance: a Multi-User platform for Cross-Domain Twitter Data Analytics, NLP and Sentiment Analysis from Paolo Nesi
]]> 675 2 https://cdn.slidesharecdn.com/ss_thumbnails/ieee-sci-2017-tvigilance-v0-2-170812181611-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-paolonesi-48x48.jpg?cb=1628758524 Paolo Nesi is a full professor at the University of Florence, Department of Information Engineering, chief of the Distributed Systems and Internet Technology research group, member of the CSAVRI, scientific council member of ICON, scientific responsible of APRETOSCANA. His research interests include social networking, user behaviour analysis, semantic computin, real-time systems, quality, system assessment, formal languages, physical models, computer music, and parallel and distributed architectures, cloud and grid. He has been: general Chair of DMS, IEEE ICSM, IEEE ICECCS, WEDELMUSIC, AXMEDIS int. conf. and prog. chairs of several others. Program chair of DMS2013, and DMS 2010, of SEKE, ... www.disit.dinfo.unifi.it https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-1st-day-general-v1-9-short-191028124157-thumbnail.jpg?width=320&height=320&fit=bounds paolonesi/snap4city-november-2019-course-smart-city-iot-geernal-overview-from-dashboard-to-iot-analytics Snap4City November 201... https://cdn.slidesharecdn.com/ss_thumbnails/snap4city-6th-day-system-deploy-v1-9-191028122731-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/snap4city-november-2019-course-smart-city-iot-platform-installation-deploy-development-life-cycle/187739103 Snap4City November 201... https://cdn.slidesharecdn.com/ss_thumbnails/iot-191028122334-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/snap4city-november-2019-course-smart-city-iot-development-of-iot-applications/187738035 Snap4City November 201...