2020 IEEE International Conference on Human-Machine Systems (ICHMS), Sep 1, 2020
A smart city dashboard is an application that is capable of retrieving historical and real-time d... more A smart city dashboard is an application that is capable of retrieving historical and real-time data from different sources and visualizing data through different graphical and interactive techniques, and also to act on data storage and IOT devices. To ensure interoperability with various IoT protocols and devices, we have developed Snap4City Dashboard Builder, one-of-a-kind tool that is then used to create multiple smart city dashboards. This paper briefly discusses the tool we developed and presents a thorough evaluation of the tool, followed by description of ten dashboards created using the builder and summary of our extensive assessment of these dashboards. The evaluation indicates that our dashboard builder is powerful and the dashboards are very helpful for city officials.
The growth and diffusion of online social media have been enormously increased in recent years, a... more The growth and diffusion of online social media have been enormously increased in recent years, as well as the research and commercial interests toward these rising sources of information as a direct public expression of the communities. Moreover, the depth and the quality of data that can be harvested by monitoring and analysis tools have evolved significantly. In particular, Twitter has revealed to be one of the most widespread microblogging services for instantly publishing and sharing opinions, feedbacks, ratings etc., contributing in the development of the emerging role of users as sensors. However, due to the huge amount of data to be collected and analyzed and limitations on data access imposed by Twitter public APIs, more efficient requirements are needed for analytics tools, both in terms of data ingestion and processing, as well as for the computation of analysis metrics, to be provided for deeper statistic insights and further investigations. In this paper, the Twitter Vigilance platform is presented, realized by the DISIT Lab at University of Florence. Twitter Vigilance has been designed as a cross-domain, multi-user tool for collecting and analyzing Twitter data, providing aggregated metrics based on the volume of tweets and retweets, users' influence network, Natural Language Processing and Sentiment Analysis of textual content. The proposed architecture has been validated against a dataset of about 270 million tweets showing a high efficiency in recovering Twitter data. For this reason it has been adopted by a number of researchers as a study platform for social media analysis, early warning, etc.
Tourism management plays an important role in the context of Smart Cities. In this work, we have ... more Tourism management plays an important role in the context of Smart Cities. In this work, we have used thermal cameras for the development of an Object Detection solution in pedestrian areas. The solution can classify people, bikes, strollers, and count people in Real-Time by using telephoto and wide-angle thermal cameras, in hot squares where there is a relevant number of people passing by. This work has improved FASTER-R-CNN and YOLOv5 architectures with new data sets and fine-tuning approaches to enhance mean average precision and flexibility whether compared to state of the art solutions. Both top-down and bottom-up training adaptation approaches have been assessed in order to demonstrate that the proposed bottom-up approach can provide better results. Results have overcome the state-of-the-art in terms of mean Average Precision in counting (i) for relevant number of people in the scene (removing the limitation of previous state-of-the-art solutions that were set to provide good ...
In recent years, smart cities have significantly developed and greatly expanded their potential [... more In recent years, smart cities have significantly developed and greatly expanded their potential [...]
2020 IEEE International Conference on Human-Machine Systems (ICHMS), 2020
A smart city dashboard is an application that is capable of retrieving historical and real-time d... more A smart city dashboard is an application that is capable of retrieving historical and real-time data from different sources and visualizing data through different graphical and interactive techniques, and also to act on data storage and IOT devices. To ensure interoperability with various IoT protocols and devices, we have developed Snap4City Dashboard Builder, one-of-a-kind tool that is then used to create multiple smart city dashboards. This paper briefly discusses the tool we developed and presents a thorough evaluation of the tool, followed by description of ten dashboards created using the builder and summary of our extensive assessment of these dashboards. The evaluation indicates that our dashboard builder is powerful and the dashboards are very helpful for city officials.
2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2020
The push towards Industry 4.0 is constraining the industries to work in integrated supply chains.... more The push towards Industry 4.0 is constraining the industries to work in integrated supply chains. This implies to be open to the integration their production plants with other plants, and to provide access to their data and processes. In most cases, this also means to give access at data and flows to their customers and to perform some synchronizations and permit supervision, and may to create integrated control rooms, synoptics and dashboards. This activity is also facilitated by the introduction of IoT solutions with IoT Devices, IoT Brokers, etc., which have a completely different approach with respect to DCS and SCADA solutions usually adopted in the industry for controlling their local productions. In this paper, Snap4Industry with its IoT development environment and framework for implementing the Control and Supervision of Multiple Supply Chains in the view of Industry 4.0 as a service are presented. In particular, the paper describes the motivations/requirements and the actions performed to extend IoT Snap4City 100% open source platform to comply with Industry 4.0 requirements. The main additions for creating Snap4Industry solution have been on: (i) industry protocols, (ii) custom widgets and synoptics Dashboards, (iii) new MicroServices for Node-RED for enabling the usage of synoptics as event driven devices, (iv) automatized process for producing synoptics templates according to GDPR. The research has been founded into SODA R&D RT project.
2020 IEEE International Conference on Human-Machine Systems (ICHMS), Sep 1, 2020
A smart city dashboard is an application that is capable of retrieving historical and real-time d... more A smart city dashboard is an application that is capable of retrieving historical and real-time data from different sources and visualizing data through different graphical and interactive techniques, and also to act on data storage and IOT devices. To ensure interoperability with various IoT protocols and devices, we have developed Snap4City Dashboard Builder, one-of-a-kind tool that is then used to create multiple smart city dashboards. This paper briefly discusses the tool we developed and presents a thorough evaluation of the tool, followed by description of ten dashboards created using the builder and summary of our extensive assessment of these dashboards. The evaluation indicates that our dashboard builder is powerful and the dashboards are very helpful for city officials.
The growth and diffusion of online social media have been enormously increased in recent years, a... more The growth and diffusion of online social media have been enormously increased in recent years, as well as the research and commercial interests toward these rising sources of information as a direct public expression of the communities. Moreover, the depth and the quality of data that can be harvested by monitoring and analysis tools have evolved significantly. In particular, Twitter has revealed to be one of the most widespread microblogging services for instantly publishing and sharing opinions, feedbacks, ratings etc., contributing in the development of the emerging role of users as sensors. However, due to the huge amount of data to be collected and analyzed and limitations on data access imposed by Twitter public APIs, more efficient requirements are needed for analytics tools, both in terms of data ingestion and processing, as well as for the computation of analysis metrics, to be provided for deeper statistic insights and further investigations. In this paper, the Twitter Vigilance platform is presented, realized by the DISIT Lab at University of Florence. Twitter Vigilance has been designed as a cross-domain, multi-user tool for collecting and analyzing Twitter data, providing aggregated metrics based on the volume of tweets and retweets, users' influence network, Natural Language Processing and Sentiment Analysis of textual content. The proposed architecture has been validated against a dataset of about 270 million tweets showing a high efficiency in recovering Twitter data. For this reason it has been adopted by a number of researchers as a study platform for social media analysis, early warning, etc.
Tourism management plays an important role in the context of Smart Cities. In this work, we have ... more Tourism management plays an important role in the context of Smart Cities. In this work, we have used thermal cameras for the development of an Object Detection solution in pedestrian areas. The solution can classify people, bikes, strollers, and count people in Real-Time by using telephoto and wide-angle thermal cameras, in hot squares where there is a relevant number of people passing by. This work has improved FASTER-R-CNN and YOLOv5 architectures with new data sets and fine-tuning approaches to enhance mean average precision and flexibility whether compared to state of the art solutions. Both top-down and bottom-up training adaptation approaches have been assessed in order to demonstrate that the proposed bottom-up approach can provide better results. Results have overcome the state-of-the-art in terms of mean Average Precision in counting (i) for relevant number of people in the scene (removing the limitation of previous state-of-the-art solutions that were set to provide good ...
In recent years, smart cities have significantly developed and greatly expanded their potential [... more In recent years, smart cities have significantly developed and greatly expanded their potential [...]
2020 IEEE International Conference on Human-Machine Systems (ICHMS), 2020
A smart city dashboard is an application that is capable of retrieving historical and real-time d... more A smart city dashboard is an application that is capable of retrieving historical and real-time data from different sources and visualizing data through different graphical and interactive techniques, and also to act on data storage and IOT devices. To ensure interoperability with various IoT protocols and devices, we have developed Snap4City Dashboard Builder, one-of-a-kind tool that is then used to create multiple smart city dashboards. This paper briefly discusses the tool we developed and presents a thorough evaluation of the tool, followed by description of ten dashboards created using the builder and summary of our extensive assessment of these dashboards. The evaluation indicates that our dashboard builder is powerful and the dashboards are very helpful for city officials.
2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2020
The push towards Industry 4.0 is constraining the industries to work in integrated supply chains.... more The push towards Industry 4.0 is constraining the industries to work in integrated supply chains. This implies to be open to the integration their production plants with other plants, and to provide access to their data and processes. In most cases, this also means to give access at data and flows to their customers and to perform some synchronizations and permit supervision, and may to create integrated control rooms, synoptics and dashboards. This activity is also facilitated by the introduction of IoT solutions with IoT Devices, IoT Brokers, etc., which have a completely different approach with respect to DCS and SCADA solutions usually adopted in the industry for controlling their local productions. In this paper, Snap4Industry with its IoT development environment and framework for implementing the Control and Supervision of Multiple Supply Chains in the view of Industry 4.0 as a service are presented. In particular, the paper describes the motivations/requirements and the actions performed to extend IoT Snap4City 100% open source platform to comply with Industry 4.0 requirements. The main additions for creating Snap4Industry solution have been on: (i) industry protocols, (ii) custom widgets and synoptics Dashboards, (iii) new MicroServices for Node-RED for enabling the usage of synoptics as event driven devices, (iv) automatized process for producing synoptics templates according to GDPR. The research has been founded into SODA R&D RT project.
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Papers by Gianni Pantaleo