{"title":"Forecasting the flow of urban pollution with cellular automata","authors":"Sukanya Benjavanich, Ziauddin Ursani, D. Corne","doi":"10.23919/SustainIT.2017.8379801","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379801","url":null,"abstract":"Urban pollution is a growing health hazard in many urban centres across the globe. Prominent sources of pollution include diesel and gasoline vehicles, as well as manufacturing plants, power generation processes, and other industrial activity. In order to help understand and address pollution levels, a number of cities are installing sensor arrays; these installations will in future support monitoring and tracking of pollutants, and also underpin a range of possibilities for forecasting and mitigation. In this paper we describe an approach which forecasts the future flow and intensity of pollutants around an urban area, given recent historic sensor streams. The approach employs a cellular automaton, whose parameters are learned and adapted online by an evolutionary algorithm.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127756176","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. Moghaddam, Mario Simaremare, P. Lago, P. Grosso
{"title":"A self-adaptive framework for enhancing energy efficiency in mobile applications","authors":"F. Moghaddam, Mario Simaremare, P. Lago, P. Grosso","doi":"10.23919/SustainIT.2017.8379811","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379811","url":null,"abstract":"Nowadays, many software applications are executed in mobile devices. This poses new challenges on optimizing the limited capacity set by battery life without compromising energy efficiency and performance. In this paper, we propose a framework for mobile applications to enable and evaluate self-adaptability for the purpose of improving energy efficiency without sacrificing performance. Our framework consists of two main parts: the mobile apps simulator and the scheduler.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128078274","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}
L. Calvi, C. Santos, Joey Relouw, B. Endrovski, Chris Rothwell, Antonio Sara, S. Lucrezi, M. Palma, U. Pantaleo
{"title":"A VR game to teach underwater sustainability while diving","authors":"L. Calvi, C. Santos, Joey Relouw, B. Endrovski, Chris Rothwell, Antonio Sara, S. Lucrezi, M. Palma, U. Pantaleo","doi":"10.23919/SustainIT.2017.8379812","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379812","url":null,"abstract":"We developed a game in virtual reality to make players experience an underwater environment and to increase their awareness towards a sustainable behaviour while diving. The game was tested with the Presence Questionnaire during a Science Festival in November 2016. The assumption was that a high degree of presence due to their immersion into the virtual environment would enhance players' empathy for the marine environment and, as a consequence, would make them more sensitive to sustainability and environmental issues related to diving. Our data show that players across various age categories did indeed feel immersed and involved in the game. However, we could not specifically test whether their level of environmental awareness had increased after playing this game.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128973708","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":"Visualizing carbon footprint from school meals","authors":"Björn Hedin, Philip Claesson, Patrik Odqvist","doi":"10.23919/SustainIT.2017.8379805","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379805","url":null,"abstract":"Food is a major contributor of greenhouse gases in the world. Changing what you eat to a less greenhouse gas intensive diet can have a major impact on the greenhouse gas emission. While campaigns and efforts about changing diets directed towards individuals have a potential to reduce total greenhouse gases, efforts directed towards institutional producers of meals have much greater potential to have impact since just a few key players need to be affected. In this paper, we describe a system we have developed for calculating carbon footprint for school meals, making it possible for decisions makers to compare schools with each other, and identify schools with both low footprint (who can serve as good examples) and schools with high footprints (who have the greatest possibility to change). Preliminary results from 10 schools in the Stockholm area are also presented.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121230315","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}
D. Redin, Diogo Vilela, N. Nunes, M. Ribeiro, Catia Prandi
{"title":"ViTFlow: A platform to visualize tourists flows in a rich interactive map-based interface","authors":"D. Redin, Diogo Vilela, N. Nunes, M. Ribeiro, Catia Prandi","doi":"10.23919/SUSTAINIT.2017.8379814","DOIUrl":"https://doi.org/10.23919/SUSTAINIT.2017.8379814","url":null,"abstract":"In this paper, we describe ViTFlow, a platform to visualize tourists flows, integrating different data sources into a rich interactive map-based visualization. The data are collected using low-cost routers, enabling wi-fi passive tracking, and sensors, detecting environmental conditions, spread over the Madeira Islands. Different types of data can be visualized in the map-based interface, including spatio-temporal mobility data (i.e., movements between places and common paths taken by tourists), airplane and cruise ship traffic, weather information, and official events. We designed the interface with the aim of providing citizens and tourists with a public display to facilitate a dialog between the different communities, exploiting synergies to promote the sustainability of the archipelago.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125841621","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":"Developing and evaluating a probabilistic event detector for non-intrusive load monitoring","authors":"Lucas Pereira","doi":"10.23919/SustainIT.2017.8379796","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379796","url":null,"abstract":"In this paper we present and evaluate probabilistic event detection algorithm for Non-Intrusive Load Monitoring. Like the other probabilistic event detectors, this algorithm also calculates the likelihood of a power event happening at each sample of the power signal. However, unlike the previous algorithms that threshold or employ voting schemes on the event likelihood, this algorithm employs a maxima/minima (i.e., the extrema) locator algorithm to identify potential power events. The proposed algorithm was evaluated against four public datasets, and its performance was compared to that of other four alternative solutions. The obtained results show that this new algorithm is competitive with the other alternatives in the four datasets. Furthermore, the results also suggest that using an extrema locator instead of a voting scheme, increases the performance of one of the state-of-the art algorithms.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134390240","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}
Leen De Baets, Chris Develder, T. Dhaene, D. Deschrijver, Jingkun Gao, M. Berges
{"title":"Handling imbalance in an extended PLAID","authors":"Leen De Baets, Chris Develder, T. Dhaene, D. Deschrijver, Jingkun Gao, M. Berges","doi":"10.23919/SustainIT.2017.8379795","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379795","url":null,"abstract":"The ability to classify appliances, given the current and voltage consumption of a household is useful for a variety of applications, including demand response verification, and eco-feedback technologies. To support research efforts in this problem domain, this paper presents an extended version of the Plug-Level Appliance Identification Dataset (PLAID), which is called PLAID 2 and contains 30 kHz voltage and current measurements of different residential appliances as they are switched on. As an extension to PLAID, this dataset adds appliance instances as well as measurements for multiple operating modes (e.g., low or high fan settings for air conditioners). As with other datasets in this problem domain, the appliance classes are not equally represented in PLAID 2. Different techniques for handling this imbalance and avoiding biasing the classifiers during training are investigated. The results indicate that performance improvement depends on the classifier type, when binary VI images are used as input.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125398222","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":"Gamification of persuasive systems for sustainability","authors":"Tobias Nyström","doi":"10.23919/SustainIT.2017.8379815","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379815","url":null,"abstract":"This work in progress presents some initial findings concerning the use of gamification and persuasive technology in the domain of reaching a set sustainability goal by using persuasive systems. Both gamification and persuasive technology have become more pervasive elements in the research community in the domain of human-computer interaction (HCI) and information systems. This paper argues for research addressing the designing of these systems since we currently have a vague understanding of the important underlying mechanism. Sustain-ability is genuinely complex and the designer of a persuasive system with a set sustainability goal must consider numerous parameters when designing the artefact.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131083560","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":"Engineering and deploying a hardware and software platform to collect and label non-intrusive load monitoring datasets","authors":"Lucas Pereira, M. Ribeiro, N. Nunes","doi":"10.23919/SUSTAINIT.2017.8379791","DOIUrl":"https://doi.org/10.23919/SUSTAINIT.2017.8379791","url":null,"abstract":"Current approaches for collecting and labeling NonIntrusive Load Monitoring (NILM) datasets still rely heavily on a lengthy and error prone manual inspection of the whole dataset. Consequently, it is still difficult to find fully labeled datasets that could help furthering even more the research in this field. In an attempt to overcome this situation, we propose a hardware and software platform to collect and label NILM sensor data in a semi-automatic labeling fashion. Our platform combines aggregate and plug-level smart-meters to measure consumption data, software algorithms to automatically detect changes in the different monitored loads and a graphical user interface where the end-user can supervise the labeling process. In this paper, we describe the different components that comprise our platform. We also present the results of one live deployment that was performed to test the feasibility of our approach. The results of the deployment show that our system was capable of explaining about 82% of the aggregate load, and automatically detect 94% of the power transitions in the plug-level loads.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125546040","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":"Sustainability in software engineering","authors":"Nina Wolfram, P. Lago, Francesco Osborne","doi":"10.23919/SustainIT.2017.8379798","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379798","url":null,"abstract":"The intersection between software engineering research and the problems related to sustainability and green IT has been the subject of increasing attention. In spite of that, we observe that sustainability is still not clearly defined, or understood, in the field of software engineering. This lack of clarity leads to confusion about e.g. what is relevant to measure or the research implications over time or space. This paper provides an overview of how the research so far has defined sustainability, and how this definition has been used to guide which research areas. To this end, we carried out a systematic mapping study for selecting, classifying and analyzing relevant publications. In this study, we investigate which knowledge areas and which time scope of sustainability effects are mostly targeted in scientific research. Our analysis shows research trends and discusses gaps to be filled.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131209584","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}