{"title":"On the Use of LoRaWAN Technology for Independent Monitoring of Unreliable Campus WIFI Networks","authors":"Sidoine Ode, Jules Degila, M. Zennaro","doi":"10.1145/3411170.3411268","DOIUrl":"https://doi.org/10.1145/3411170.3411268","url":null,"abstract":"We designed and deployed a networking monitoring tool based on LoRaWAN for a campus network in Benin. Using affordable LoRaWAN devices and by placing the server in our network, we have been able to measure and to analyze network coverage and failures in real-time. We can receive SMS alerts when a WiFi access point does not work correctly. It is then an affordable and scalable solution for Campus networks with an unreliable cable network.","PeriodicalId":214719,"journal":{"name":"Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124815785","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":"On the Usage of Smart Speakers During the Covid-19 Coronavirus Lockdown","authors":"M. Furini, S. Mirri, M. Montangero, Catia Prandi","doi":"10.1145/3411170.3411260","DOIUrl":"https://doi.org/10.1145/3411170.3411260","url":null,"abstract":"The COVID-19 pandemic has dramatically changed every aspect of our professional and private life. It forced us to stay at home and it gave unprecedented power to technology. In this paper we focus on the emerging technology of smart speakers (e.g., Amazon Echo Plus, Google Home, etc.) and, through a developed questionnaire, we investigate how people use these devices. In particular, we analyze whether the human behavior has been affected by availability of these smart speaker. Results showed that the usage of these devices did not increase during lockdown, but it highlighted the presence of some privacy issues that might represent a burden to the diffusion of this type of technology.","PeriodicalId":214719,"journal":{"name":"Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good","volume":"296 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121724765","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. Deeva, P. Andriushchenko, Anna V. Kaluzhnaya, A. Boukhanovsky
{"title":"Bayesian Networks-based personal data synthesis","authors":"I. Deeva, P. Andriushchenko, Anna V. Kaluzhnaya, A. Boukhanovsky","doi":"10.1145/3411170.3411243","DOIUrl":"https://doi.org/10.1145/3411170.3411243","url":null,"abstract":"Often, confidentiality problems and a lack of original data, make it challenging to analyze user data carefully. In such situations, synthetic data can be used that is more suitable for testing and training marketing strategies, personalized assistants, or behavior analysis systems than the original data. In this paper, the approach for generating synthetic social media profiles data based on Bayesian networks was analyzed. The personal data synthesis problem was considered as the inference of a joint probability distribution from the oriented probabilistic models like Bayesian networks. The quality of this approach in generating VKontakte (VK is the Russian analog of Facebook) social network data was demonstrated and assessed. The Bayesian network approach has shown itself well in the tasks of deriving joint and marginal data distributions, which has led to the production of high-quality synthetic personal data.","PeriodicalId":214719,"journal":{"name":"Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131853868","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}
Leah Mutanu, Khushi Gupta, Jeet Gohil, Dharmik Karania, Abdi Ali
{"title":"Enhancing Healthcare Access through Remote Infant Screening","authors":"Leah Mutanu, Khushi Gupta, Jeet Gohil, Dharmik Karania, Abdi Ali","doi":"10.1145/3411170.3411270","DOIUrl":"https://doi.org/10.1145/3411170.3411270","url":null,"abstract":"In many countries, babies are required to visit a healthcare facility periodically from birth until they reach the age of five for growth monitoring. However, many parents in marginalized areas are not able to do so which results in high infant mortality rates. In this paper, we present the early results of an affordable remote screening system developed using an IoT device that measures a baby's temperature, height, weight, and skin conditions and sends them to a healthcare provider for decision making. The device captures essential data using sensors, after which an image recognition algorithm is used to access the infant's skin. Analytics are conducted on the data and alerts generated for timely intervention. The results obtained show that it is possible to develop an affordable and functional remote screening device to enhance healthcare access. We plan to scale it to measure the infant' s breathing patterns and heart rate.","PeriodicalId":214719,"journal":{"name":"Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116853997","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":"Exploring Ambient Air Quality Notifications for Smart Rooms","authors":"C. Dang, Ilhan Aslan, A. Seiderer, E. André","doi":"10.1145/3411170.3411229","DOIUrl":"https://doi.org/10.1145/3411170.3411229","url":null,"abstract":"Many regular meeting participants know the atmosphere of a meeting in a closed room when the air becomes stifling and uncomfortable. With increased concentration of carbon dioxide (CO2), the cognitive performance of participants can also suffer as a result. Therefore, it makes sense to retrofit such meeting rooms with smarthome technology to improve the air quality. However, existing meeting rooms often do not have built-in ventilation systems. Hence, smart technology can be used to measure air quality and communicate that by ambient notifications such as ambient lighting. Actively ventilating a room is then left to the participants of a meeting. This paper reports on a user study demonstrating that the kind of unobtrusive notification from an ambient air quality display has a significant influence on response times of perceiving the information while being concentrated on the course of the meeting.","PeriodicalId":214719,"journal":{"name":"Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124831829","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":"Integrating gamification into a system to improve diet compliance for elderly users","authors":"L. M. Lubbe, M. Klein","doi":"10.1145/3411170.3411250","DOIUrl":"https://doi.org/10.1145/3411170.3411250","url":null,"abstract":"Nowadays, gamification is applied in many areas, including healthy lifestyle promotion. In earlier work, a system has been proposed to stimulate diet compliance and adherence of participants of a trial within the PROMISS-project. In this paper, we describe the design of a gamified version of this system. The goal of the gamification is to further stimulate diet compliance and adherence to the system, but also to increase the knowledge about the diet and make the use of the system more fun. To do so, we implemented gamification elements (profile page, achievements, mini-games, and a reward garden) to address multiple behaviour change techniques. Based on a small evaluation, the system has been improved so that it can be used by participants of the PROMISS trial. At the end of this paper, future improvements are suggested in the future work section","PeriodicalId":214719,"journal":{"name":"Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128409320","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}
M. Roccetti, Luca Casini, Giovanni Delnevo, V. Orrù, N. Marchetti
{"title":"Potential and Limitations of Designing a Deep Learning Model for Discovering New Archaeological Sites: A Case with the Mesopotamian Floodplain","authors":"M. Roccetti, Luca Casini, Giovanni Delnevo, V. Orrù, N. Marchetti","doi":"10.1145/3411170.3411254","DOIUrl":"https://doi.org/10.1145/3411170.3411254","url":null,"abstract":"We have tried to provide an answer to the question whether a collection of satellite images, with notable archaeological sites, is informative enough to instruct a deep learning model that discovers new archaeological sites, well before archaeologists venture out in the field. Convolutional neural networks and satellite images in the visible light range were employed to detect sites in the Iraqi region of Qadisyah. The preliminary results we achieved are interesting yet not still fully convincing. The AUC value we got is near 70%, while more interesting findings have come from the idea to map the numerical predictions into heat-maps, revealing the regions where a site can lie. Several motivations can explain this controversial output. Not least is the fact that our model was instructed to learn archaeological sites of a very different form and size.","PeriodicalId":214719,"journal":{"name":"Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127239924","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":"At Home With Us","authors":"C. Fantozzi, Lorenzo Grigoletto","doi":"10.1145/3411170.3411273","DOIUrl":"https://doi.org/10.1145/3411170.3411273","url":null,"abstract":"In this paper, we present ongoing research on a methodology to assist people with moderate disabilities, in their homes, using off-the-shelf smart home technologies, and open-source software. Clearly, such building blocks can cover a smaller set of scenarios than custom-built alternatives, but we believe they are nonetheless capable of improving the life of several people and their caregivers, avoiding or postponing the adoption of more invasive, less affordable solutions. Our methodology includes a body of principles to build assistance solutions out of smart home devices. We have already identified a set of technologies to implement our methodology, and actual assistance actions in real-world scenarios where our methodology is applicable. We have already experimented with the methodology in one scenario.","PeriodicalId":214719,"journal":{"name":"Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129229920","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}
Armir Bujari, C. Bergamini, Antonio Corradi, L. Foschini, C. Palazzi, Andrea Sabbioni
{"title":"A Geo-distributed Architectural Approach Favouring Smart Tourism Development in the 5G Era","authors":"Armir Bujari, C. Bergamini, Antonio Corradi, L. Foschini, C. Palazzi, Andrea Sabbioni","doi":"10.1145/3411170.3411242","DOIUrl":"https://doi.org/10.1145/3411170.3411242","url":null,"abstract":"The fast-paced evolution of ICT technology is revolutionizing our every day life, endowing us with a seamless digital assistant accessible through smart-devices. In this context, even the way we approach tourism and holidays has undergone many changes. In fact, most of us nowadays exploit smart devices to plan, book and manage the experience. This different approach to tourism is often called Smart Tourism and it is acquiring more and more importance for business, public administrations, and tourists themselves. The idea behind our proposal is to further enhance existing structure and services of a city, promoting and encouraging the smart tourism concept while satisfying the ever increasing necessity, dynamicity and stringent Quality of Service (QoS) requirements future application scenarios embody. To this end, we propose a conceptual architectural model following a Mobile Edge Computing (MEC) approach, exploiting virtualization and multiple geographically distributed Function as a Service (FaaS) edge clouds equipped with storage capabilities. While preserving the general aspect of our study and without loss of generality, we envision a reference scenario where users consume and produce data that are geographically bound to a location of interest. This modus operandi could help unlock smart tourism potential, focusing on local communal phenomena, harvesting socio-technical data which would otherwise not be possible on a global scale through traditional centralized information systems. Along with the proposal, we discuss some preliminary evaluation of the envisioned platform, outlining some research directions.","PeriodicalId":214719,"journal":{"name":"Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129124736","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 data visualization exploration to facilitate a sustainable usage of premises in a Smart Campus context","authors":"C. Ceccarini, S. Mirri, Catia Prandi, P. Salomoni","doi":"10.1145/3411170.3411241","DOIUrl":"https://doi.org/10.1145/3411170.3411241","url":null,"abstract":"The growing interest in the IoT in everyday scenarios has led to the transition from buildings to smart buildings. Such smart environments are equipped with sensors and IoT-based facilities, able to collect a huge amount of data that can be analyzed and can bring about a more sustainable usage of spaces. In this paper, we present the case study of a smart campus, where heterogeneous data, gathered both from sensors and official open data, have been exploited to facilitate the data visualization exploration of rich information about the occupant counts, towards a more sustainable and efficient use of its premises (including classrooms, labs, and meeting rooms).","PeriodicalId":214719,"journal":{"name":"Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116731348","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}