Electromagnetic modeling of submarine power cablesContact person
LUCA DI RIENZOEmail:
luca.dirienzo@polimi.itStudy course: Electrical Engineering
Description
Conversational Web BrowsingContact person
MARISTELLA MATERAEmail:
maristella.matera@polimi.itStudy course: Computer Science and Engineering
Other members of the research group:
Cinzia Cappiello, Marcos BaezWeb page:
https://link.springer.com/chapter/10.1007%2F978-3-030-62522-1_17Description
Description:
The thesis will focus on generating chatbots out of a website equipped with simple, bot-specific HTML annotations. The approach is part of what we call conversational web browsing, i.e., a dialog-based, natural language interaction with websites. The goal is to enable users to use content and functionality accessible through visual UIs by “talking to websites” instead of by operating the graphical UI using keyboard and mouse. The project is held in collaboration with associations for visually impaired and low-vision people.
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End-User Development of chatbots for data explorationContact person
MARISTELLA MATERAEmail:
maristella.matera@polimi.itStudy course: Computer Science and Engineering
Web page:
http://matera.faculty.polimi.it/wp-content/uploads/chatbot.pdfDescription
Description:
Chatbots for data exploration support conversations that let the user progressively discover and interactively retrieve data from known data sources. Given the multiple advantages that the literature recognizes to the conversational paradigm for data access, and its current diffusion through different applications, there is now much emphasis on methodologies for chatbot design. A diffused opinion is that domain experts, with their special knowledge and understanding of a specific field, are critical in the development of chatbots; but it also emerges that engaging them in chatbot development is difficult due to their lack of technical competencies. Starting from a conceptual model for the rapid generation of chatbots, the thesis project will focus on the definition of interactive, visual paradigms for the End-User Development (EUD) of chatbots for data exploration.
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Rapid Prototyping of Chatbots for Data ExplorationContact person
MARISTELLA MATERAEmail:
maristella.matera@polimi.itStudy course: Computer Science and Engineering
Web page:
http://matera.faculty.polimi.it/wp-content/uploads/chatbot.pdfDescription
Description:
This project aims to extend the current capabilities of frameworks for chatbot development in the domain of data exploration. Nowadays, chatbot applications are growing in a larger number of sectors and activities. However, it is still unclear how to capitalize on technologies for data access and exploration. The creation of the knowledge base with which the conversational agent will interact and its integration with the dialog system are still considered obstacles. This project aims to understand whether it is possible to extend the capabilities of current technologies to simplify the management of the chatbot knowledge base and fasten the development of chatbots for data exploration through model-based techniques for the automatic generation of the dialog system.
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Adaptive Pipelines for Crowd-Enhanced ProcessesContact person
MONICA VITALIEmail:
monica.vitali@polimi.itStudy course: Computer Science and Engineering
Web page:
https://vitali.faculty.polimi.it/Description
Description:
Social media are a relevant source of information for decision-makers but their extraction and processing can be challenging. In fact, although data is extracted according to specific keywords through a crawler, a huge amount of irrelevant information is present in the resulting data set. These data have to be manually analyzed by human operators, for instance, Crowd workers, for annotating them with needed metadata. In this scenario, filtering out all irrelevant elements is necessary to make the approach feasible. This thesis aims at providing the user a methodology for supporting the definition of a pipeline able to eliminate irrelevant information according to the goal for the analysis to be performed on the data. Given a set of available components for the pipeline, each one is evaluated in terms of its efficiency (precision and recall, execution time, execution cost), and the best combination of components is selected according to the user’s quality requirements.
KEYWORDS: Business Process, Adaptive Processes, Crowd Computing, Social-media analysis, Big Data
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Monitoring the Sustainability of Multi-Component ApplicationsContact person
MONICA VITALIEmail:
monica.vitali@polimi.itStudy course: Computer Science and Engineering
Web page:
https://vitali.faculty.polimi.it/Description
Description:
Modern applications are composed of several components (microservices, functions, monoliths) that cooperate together for reaching the overall application goal. They can be hosted in different locations in a cloud environment or in the owner facilities, as well as in edge or IoT devices. Most of the existing infrastructures don’t provide information about the energy consumption at the application component level, and even less information about the emissions generated by the application execution. Thus, some models to derive this information are needed if we want to envision a real sustainable application future. The aim of this thesis is to explore the current state of the art and the existing tools for deriving energy consumption of single-component applications and their emissions and to propose a method to extend these tools by enabling the derivation of the overall energy consumption of an application and sustainability impact.
KEYWORDS: Green IT, Microservices, Energy Monitoring, Sustainability-Awareness
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Sustainable Applications Deployment in a Fog EnvironmentContact person
MONICA VITALIEmail:
monica.vitali@polimi.itStudy course: Computer Science and Engineering
Web page:
https://vitali.faculty.polimi.it/Description
Description:
Sustainability and Energy Efficiency are a driver for the improvement of our society and a necessity for a better future. While Data Centers are getting greener, this is not the case for other computing locations like fog and edge computing, composed of small and inefficient data centers. Considering applications as composed of several microservices interconnected in a workflow and exchanging data, the research question is how it is possible to adaptively deploy each component in a different location by considering the trade-off between QoS and Energy Efficiency. This thesis aims at providing an algorithm for deploying multi-component applications in a heterogeneous dynamic fog environment while minimizing emissions and respecting QoS constraints.
KEYWORDS: Green IT, Microservices, Fog Computing, Machine Learning
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From Sustainable Applications Models to Executable Sustainable WorkflowsContact person
MONICA VITALIEmail:
monica.vitali@polimi.itStudy course: Computer Science and Engineering
Web page:
https://vitali.faculty.polimi.it/Description
Description:
Sustainability and Energy Efficiency are a driver for the improvement of our society and a necessity for a better future. While Data Centers are getting greener, applications hosted by them are keeping requiring more and more resources. This thesis aims at providing a methodology to design sustainable applications using existing modeling tools and enriching them with additional features and to implement the translation from a sustainable workflow model into an executable workflow using microservice-based applications and an orchestrator. The goal is to provide applications sensitive to their current energy consumption and emissions able to adapt by enacting modifications in their workflow by: i) defining optional and mandatory tasks, ii) defining alternative execution modalities (sustainable or performance-oriented) for the same task, iii) defining rules to activate different versions of the workflow based on the application monitoring data.
KEYWORDS: Green IT, BPM, Microservices
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Adaptive Monitoring in Heterogeneous Distributed EnvironmentsContact person
MONICA VITALIEmail:
monica.vitali@polimi.itStudy course: Computer Science and Engineering
Web page:
https://vitali.faculty.polimi.it/Description
Description:
A Fog Environment sees computational resources spread in different locations with heterogeneous capabilities and characteristics. Data is most of the time collected at the edge of the network and moved to the cloud to be stored and analysed. With additional computing power at the edge, computation is moving more and more nearer the data, but some constraints have to be considered. This thesis will investigate the synergy between application deployment and data availability by providing a methodology for adaptively deploying applications in a fog environment while considering resource availability, data location, data quality requirements, and QoS requirements. The methodology aims at reducing the amount of data traveling from the edge to the cloud by proposing an adaptive monitoring system (AMS). The AMS employs Machine Learning techniques to detect correlations between monitoring data and build models to reconstruct missing data directly in the cloud. This thesis will explore different deployments of the AMS components to identify their outcome on the QoS of the monitoring data collection and on the Data Quality of the applications using the data. The goal is to provide a methodology to automatically tuning a monitoring data collection system according to the context of usage of the data.
KEYWORDS: Fog Computing, Adaptive Monitoring, IoT, Machine Learning
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Localization of Contaminants in Diffusion based Molecular Communications SystemsContact person
MAURIZIO MAGARINIEmail:
maurizio.magarini@polimi.itStudy course: Automation Engineering, Biomedical Engineering, Computer Science and Engineering, Telecommunications Engineering
Other members of the research group:
Fardad VakilipoorDescription
Description:
The focus of the thesis is about the estimation of position of a point wise transmitter in a three-dimensional molecular communication system based on a diffusive channel.
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Analisi e caratterizzazione del ritardo introdotto da relay nelle comunicazioni veicolari di quinta generazione (5G)Contact person
MAURIZIO MAGARINIEmail:
maurizio.magarini@polimi.itStudy course: Automation Engineering, Computer Science and Engineering, Telecommunications Engineering
Other members of the research group:
Francesco LinsalataDescription
Description:
L’evoluzione delle reti di telecomunicazioni con l’arrivo della quinta generazione (5G) comporta la necessità di nuove infrastrutture in grado di soddisfare i requisiti delle nuove applicazioni sia in comunicazioni terrestri, come cellulari (UE-UE) e veicolari (V2V), sia in comunicazioni terra-cielo, come drone-UE o drone-veicolo.
Uno degli aspetti principali è la necessità identificare e definire strategie di relaying del segnale che soddisfino i requisiti di alta affidabilità e bassa latenza.
Lo scopo della tesi sarà quello di studiare i pro e cons delle attuali strategie di relaying (partendo dalle più comuni come Amplify & Forword, Decode & Forward) e la loro applicabilità nei nuovi scenari del 5G-New Radio.
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Stesura di un protocollo sperimentale per la generazione di segnali che riproducono potenziali evocati muscolariContact person
MAURIZIO MAGARINIEmail:
maurizio.magarini@polimi.itStudy course: Automation Engineering, Biomedical Engineering, Electronics Engineering, Telecommunications Engineering
Description
Description:
L'obiettivo del lavoro di tesi riguarda la definizione di un protocollo sperimentale che consenta di generare potenziali evocati locomotori per ristabilire l'atto motorio di pazienti con deficit. Verranno trattati argomenti come: caratteristiche fisiologiche dei segnali nervosi motori, modalità di erogazione dei test mediante elettrodi per sollecitazione mirata delle fibre nervose, posizionamento di marcatori e monitoraggio del movimento con camera, regolamentazione clinica sperimentale CE/FDA. L’eventuale parte pratica verrebbe svolta in collaborazione con l’ospedale san Gerardo di Monza.
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Electromagnetic modeling of the environmnent of undeground power cablesContact person
LUCA DI RIENZOEmail:
luca.dirienzo@polimi.itStudy course: Electrical Engineering
Web page:
http://www.cem.polimi.it/Description
Sviluppo di algoritmi per la modellizzazione di guasti in motori elettriciContact person
GIAMBATTISTA GRUOSSOEmail:
giambattista.gruosso@polimi.itStudy course: Automation Engineering, Electrical Engineering, Electronics Engineering, Computer Science and Engineering
Description
Description:
La tesi, con la possibilità di una internship in ST microelectronics, si prefigge lo scopo di definire, analizzare ed implementare algoritmi per l’analisi di guasti in motori elettrici .
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Virtual commissioning and simulation of electrical systems: Integration of automation with simulationContact person
GIAMBATTISTA GRUOSSOEmail:
giambattista.gruosso@polimi.itStudy course: Automation Engineering, Electrical Engineering, Electronics Engineering
Description
Description:
Through an internship in an important Italian company, the aim is to develop a framework for the integration between simulation and electromechanical devices typical of the automation and process industry.
The objective is to speed up the design and commissioning of industrial plants.
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