Giampiero Calma

Bio: Giampiero Calma is an academic researcher from University of Padua. The author has contributed to research in topics: Web modeling & Web standards. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

Web squared: paradigms and opportunities

Abstract: In this article, we explore the technical implications related to Web Squared paradigm. Representing an evolution of Web 2.0 that emphasizes the interaction between the cyber world and the real world, Web Squared contemplates the use of sensors to share huge amounts of data and foster the creation of new services. In this context, we analyze the different approaches and opportunities related to the use sensor-equipped smartphones to generate and distribute context related data both automatically and through appealing user applications (e.g., games). We discuss a general methodology to adopt when devising smartphone-based distributed sensing applications and explore both the issues and adopted solutions in this context. Finally, we identify unresolved technical challenges limiting the widespread deployment of Web Squared services, which deserve future research effort.

Mobile sensing systems.

Abstract: Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc The object of sensing can be people-centered or environment-centered The sensing domain can be home, urban, vehicular… Currently there are barriers that limit the social acceptance of mobile sensing systems Examples of social barriers are privacy concerns, restrictive laws in some countries and the absence of economic incentives that might encourage people to participate in a sensing campaign Several technical barriers are phone energy savings and the variety of sensors and software for their management Some existing surveys partially tackle the topic of mobile sensing systems Published papers theoretically or partially solve the above barriers We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving for any type of mobile sensing system, and propose several realistic research challenges The main objective is to reduce the learning curve in mobile sensing systems where the complexity is very high

Educational Robots for Internet-of-Things Supported Collaborative Learning

Abstract: We present a vision of using educational robots as smart mobile components (“things”) of Internet-of-Things. Such robots, beside their primary mission to facilitate learning, are able to communicate; have computing capabilities; as well as have sensors and actuators to sense and change their physical context. The robot serves both as the educational service that allows to visualize knowledge through explicit actions and behaviour as well as the enabler of learning and providing student engagement through immersion and instant feedback. The vision is based on the principles of contextualization, physicality and immersion. The pedagogical background is the proposed Internet-of-Things Supported Collaborative Learning (IoTSCL) paradigm based on constructivism, which provides a highly motivating learning environment in university, promoting collaboration among students, and achieving the creation of new knowledge in a reflexive process directed by the teacher. We demonstrate the implementation of the paradigm in the project-based setting at the university course and evaluate it using the Four-Phased Model of Interest Development.

Proceedings of the Doctoral Consortium at the 13th International Conference on Open Source Systems

Abstract: Proceedings of the Doctoral Consortium at the 13th International Conference on Open Source Systems

Ubiquitous Social Cams

Abstract: Web 2.0 is evolving and offering services based on the wide popularity of smartphones and the possibility of gathering data ubiquitously from these mobile devices; this new paradigm is often referred to as Web2. In this paper, we hence present and discuss a Web2 application designed to enable users to interact with remote smartphones' cameras to receive a video generated in real time. In essence, users can individuate on a map which mobile cameras are available in a location of interest and request the remote user to generate and send back a short video of the surrounding environment or event. We discuss technical issues related to implementing such a service and the solutions we devised to address them. Finally, we also present experimental results we obtained from a preliminary testbed evaluation that encourages the prosecution of this work.