{"title":"Contact tracing, proximity safety, data correlation and visualization for global corporations","authors":"S. Callery, Kevin Meehan","doi":"10.1109/rtsi50628.2021.9597239","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597239","url":null,"abstract":"As employees are preparing to return to work globally, entering large-scale corporate and industrial environments, ensuring their safety is of paramount concern for their employers. The creation and adherence to new safety protocols are one way that corporations will attempt to achieve this. As the precautionary requirements are scaled to a global multinational corporation, the challenge increases. Traditional physical and visual methods to ensure social distancing are limited, inflexible, and may not deliver a comprehensive and agile solution. A complete end to end contact tracing and social distancing solution that can scale to meet the need of large organisations is required. This solution should provide employees with personal cues when the appropriate physical distancing guidelines are not available. The solution developed during this research combines multiple commercially available wireless and networking infrastructure technologies to provide robust retrospective contact tracing capabilities. The solution will accommodate the need for rapid data collation and visualization from locations worldwide and provides a single, secure management view to enable public health teams to react to potential incidents rapidly. This approach supports a rapid deployment on a global scale across live diverse corporate and manufacturing environments. It is installed in a manner that is complementary to existing technology without causing business impact or interruption. Data collected during the pilot suggest that the end to end solution meets the technical requirements to deliver a comprehensive proximity altering and contact tracing solution for large scale global enterprises. The proposed solution is easy to install, manage and is cost efficient.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129641130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Valerio Lampitella, Marco Trofa, A. Astarita, G. D’Avino
{"title":"Powder Bed Spreading in Additive Manufacturing: Numerical Simulations and Experimental Study","authors":"Valerio Lampitella, Marco Trofa, A. Astarita, G. D’Avino","doi":"10.1109/rtsi50628.2021.9597360","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597360","url":null,"abstract":"Powder bed based additive manufacturing technologies allow for the production of more complex parts with overall better characteristics and are therefore of high industrial interest. However, due to an incomplete understanding of the multi-physic processes involved there are still some issues to be addressed. More specifically, in this work we will focus on the powder spreading stage. In powder bed-based technologies a thin layer of powder is deposited by a recoating device and is then processed by an energy source to obtain a layer of the final part. We use a numerical model based on the Discrete Element Method to reproduce the spreading process and propose an experimental analysis procedure to obtain data suitable for the validation of such numerical model. The experiments are carried out on a purposely designed device and both computations and experiment are referred to a single layer deposition. Being able to validate the numerical results can give way to a more confident use of DEM based models for the optimization of the spreading process and therefore improve the quality of printed parts. (Abstract)","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125212531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Participation of Electric Mobility in the Ancillary Service Market: a Numerical Assessment of Expected Performance and Revenues","authors":"F. Gulotta, Simone Ceddia, D. Falabretti","doi":"10.1109/rtsi50628.2021.9597280","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597280","url":null,"abstract":"The paper is aimed to provide a numerical assessment of the technical performances and economic results that could be achieved by a fleet of electric vehicles participating in the Ancillary Service Market. To this purpose, the discipline currently in place in Italy for UVAM project, started in 2019, is assumed as a reference: this experimental initiative enabled distributed flexibility resources, such as dispersed generation, controllable loads, storage systems and also e-mobility, to participate in an aggregated form in the Ancillary Service Market. In this framework, the present work investigates the possible exploitation of an electric fleet to supply balance reserve to the power system. For the purpose of the analysis, the results obtained by two different numerical approaches are presented. They are aimed to prove the effectiveness of the e-mobility regulation with respect to its capability to meet the minimum technical requirements that are mandatory for the participation in the project, and the relevant economic sustainability.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121193819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AirGen: GAN-based synthetic data generator for air monitoring in Smart City","authors":"Khanh-Hoi Le Minh, Kim-Hung Le","doi":"10.1109/rtsi50628.2021.9597364","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597364","url":null,"abstract":"The past decade has seen a notable increase in air pollution that directly damages health, animals, and plants worldwide. To mitigate such negative effects, several research groups have been working on predicting air quality using deep learning. However, the lack of high-quality air quality datasets is a major obstacle encountered to achieve high accuracy prediction. In this paper, we introduce an air monitoring data generator powered by learning distributed real sequences using the generative adversarial network (GAN), namely AirGen. An unsupervised adversarial loss is also employed in the network to minimize the difference between generated synthetic and original data in the training process. Experiments on real datasets indicate that the data generated by Airgen could significantly increase the prediction accuracy performed by deep learning models. The mean square error (MSE) is remarkably reduced from 0.024 to 0.015.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132602628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Leccese, E. Petritoli, M. Cagnetti, S. Sangiovanni, L. Podestà, G. Spagnolo
{"title":"An Analysis for a Precise Reliability and Availability Assessment of “Photovoltaic System” Pilot Site: a Case Study","authors":"F. Leccese, E. Petritoli, M. Cagnetti, S. Sangiovanni, L. Podestà, G. Spagnolo","doi":"10.1109/rtsi50628.2021.9597225","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597225","url":null,"abstract":"In this paper a new way to approach the reliability and availability analysis for a complex system is developed. A “case study”, concerning a photovoltaic generation system inside the University of “Roma Tre”, is examined. The system was designed to supply power to a building (on an experimental basis) and to work alongside the power grid. Initially the system is subjected to a reliability analysis to establish the MTBF of each component and of the overall system: the analysis is based on methods that try to overcome the old military handbook MIL-HDBK-217 by taking into account parameters that are well able to define the expectation of life of modern components. The second availability analysis gives us the actual time available to the end user. The synthesis of the analysis will give us a real insight into the behaviour of the complex system, indicating criticalities and strengths.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"631 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123958319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Riccardo Cantini, F. Marozzo, A. Orsino, Martina Passarelli, Paolo Trunfio
{"title":"A visual tool for reducing returns in e-commerce platforms","authors":"Riccardo Cantini, F. Marozzo, A. Orsino, Martina Passarelli, Paolo Trunfio","doi":"10.1109/rtsi50628.2021.9597230","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597230","url":null,"abstract":"Nowadays, the number of people who prefer to make online purchases on e-commerce platforms is constantly increasing. Online shopping turns out to be fast and cheap but it also involves some risks. In fact, it sometimes happens that a product, once received, is smaller or bigger than expected, or does not comply with what is described on the purchase site. Typically this happens because the information provided by retailers is not detailed and, moreover, the images usually show the product on a white background without any reference nearby to understand its true dimensions. To cope with this problem, we developed CompareDimensions, a software tool that helps customers during their online purchases, by allowing them to understand the correct dimensions of the product they are about to buy. Through this tool, a customer can see the images of the product and compare it with a series of reference images known to all, such as a man, a chair, a door or a child. The experimental evaluation, conducted on Amazon, shows that the use of the proposed tool helped people to figure out the real dimensions of products, with respect to the case in which only cutout images and textual descriptions are provided. In particular, according to our experiments, people who used the tool were able to understand the real dimensions of a product with 17.5% greater accuracy than those who did not use the tool. Focusing on critical products, average accuracy increased by 24%, with an improvement of 27% and 11% for products that proved to be smaller or larger than expected. Therefore, the adoption of CompareDimensions could help customers to understand the real dimensions of the products they want to buy, and consequently reduce the likelihood of a return.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114892603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vismit Vishram Chavan, Jasvin James Manjaly, Mohammed Abbas Ali
{"title":"Automated Teller Machine Cash Demand Prediction","authors":"Vismit Vishram Chavan, Jasvin James Manjaly, Mohammed Abbas Ali","doi":"10.1109/rtsi50628.2021.9597352","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597352","url":null,"abstract":"Physical cash is the most liquid asset and holds high usage rates despite rapid technological advancements in the digital cash industry, especially in the context of a developing country like India. As such, Automated Teller Machines (ATMs) form an integral component of any individual's cash needs and managing the amount of cash in any given ATM is of paramount importance for any bank. ATMs are periodically filled with cash by banks, predominantly with the help of cash management agencies. Through our research we want to determine the feasibility of adding mathematical support to the current system by using Data Analysis and Machine Learning (ML). The findings of this research and modelling approaches were applied to a procured dataset which consists of data of 5 ATMs of the same bank from 2011–2017. The year, month, day, festival religion, day of the week, holiday status of yesterday, today and tomorrow were the factors that were initially analyzed and later on, average withdrawal for a given window of time in the past, the weather status and the type of holiday were the other features engineered which proved to be useful. The algorithms being tested include Lasso, Ridge, Elasticnet, Random Forest & CatBoost which is a deep learning framework. Two approaches for testing were determined, one approach was to create one model for all years in the data and another approach was to develop a model per year. In both approaches, it was found that Lasso regression outperformed all the other algorithms in contention.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114371545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A General Land Cover Classification Framework for Sentinel-1 SAR Data","authors":"Antonietta Sorriso, D. Marzi, P. Gamba","doi":"10.1109/rtsi50628.2021.9597319","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597319","url":null,"abstract":"Nowadays, radar time series are increasingly used for land cover mapping and monitoring, thanks also to the large datasets of Synthetic Aperture Radar (SAR) over the Earth's surface, provided by Sentinel-1 mission. During the last years, a wide variety of SAR applications have benefited from the use of the large stacks of Sentinel-1 products, and processing and methods of analysis have increased more and more in the field of remote sensing. The aim of this work is to describe the processing chain realized for the global land cover mapping by using a time series stacking of Sentinel-1 for 2019. Random Forest (RF) and Support Vector Machine (SVM) have been applied for the continental Amazonian region, and their performace have been compared by means of a qualitative assessment.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114834103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marco Friuli, Antonio Masciullo, Federica Stella Blasi, Marco Mita, Licinio Corbari, Ivo Surano
{"title":"A 4.0 Sustainable Aquaponic System Based on the Combined Use of Superabsorbing Natural Hydrogels and Innovative Sensing Technologies for the Optimization of Water Use","authors":"Marco Friuli, Antonio Masciullo, Federica Stella Blasi, Marco Mita, Licinio Corbari, Ivo Surano","doi":"10.1109/rtsi50628.2021.9597250","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597250","url":null,"abstract":"Aquaponics couples aquaculture with hydroponics: the water from the breeding tanks is filtered and pumped into the hydroponic system. Aquaponics is gaining much attention as a farming technique, thanks to its intrinsically sustainable approach; however, aquaponic systems need continuous maintenance and the processes need tight control. Starting from these considerations, in this work, a 4.0-oriented acquaponic system that integrates the relevant enabling technologies of the 4.0 Era is presented. In particular, the proposed system relies on two major technologies: i) the adoption of a dedicated microwave reflectometry-based system for monitoring recycled water quality inside the tanks; and ii) a superabsorbing hydrogel technology to improve the system effectiveness. In addition, to these technologies also IoT was adopted for guaranteeing automation and remote monitoring and control of the overall aquaponic system. This paper describes the design, implementation and functional validation of a prototype of the proposed aquaponic system.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124997838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Zualkernan, O. Al-Kofahi, Amir Khan, Syed Raza Imam Zaidi, K. Hassan
{"title":"Towards Automating Social Distance Violations using AIoT","authors":"I. Zualkernan, O. Al-Kofahi, Amir Khan, Syed Raza Imam Zaidi, K. Hassan","doi":"10.1109/rtsi50628.2021.9597210","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597210","url":null,"abstract":"The pandemic caused by the COVID 19 virus had a tremendous impact on the retail and tourism industry resulting in a loss of around two trillion dollars per year. Recovering completely from the pandemic may take several years and safety guidelines like social distancing will remain a norm for many years to come. Many governments have levied heavy fines for businesses that fail to implement social distancing guidelines. Implementing manual social distancing policies can be expensive and error prone. This paper proposes a smart system that uses cameras along with Artificial Intelligence Internet of Things (AIoT) edge devices like the Nvidia Nano GPU to automatically detect social distance violations on the edge. The system achieved an accuracy of 92.2% and an F1-Score of 0.851 using a single camera only. On an Nvidia Nano, the system has a very acceptable rate of 1.7 frames per second on the edge obviating the need for any expensive back-end transmission and processing. The system uses the MQTT protocol to instantly notify the manager or owner of the business via a mobile App and a Web application for necessary action.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130845326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}