3rd International Conference on Advanced Research Methods and Analytics (CARMA 2020)

Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information.As these sources, methods, and applications become more interdisciplinary, the 3rd International Conference on Advanced Research Methods and Analytics (CARMA) is an excellent forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges.Doménech I De Soria, J.; Vicente Cuervo, MR. (2020). 3rd International Conference on Advanced Research Methods and Analytics (CARMA 2020). Editorial Universitat Politècnica de València. http://hdl.handle.net/10251/149510EDITORIA

CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

CAD, BIM, GIS and other tricks of the computer science in the education of the Building Engineer

Revisione internazionale- relazione a invito- chair sessione S8T The paper aims to develop some thoughts on the upgrade implemented in the disciplines of drawing from the latest forms of digital representation, commenting on the experiences under way in some university courses included in the learning curriculum provided to engineering students with regard to the course of study in Ingegneria Edile (Building Engineering, also known as Architectural or Construction Engineering) at the Politecnico di Torino. It’s a matter of reasoning on what and how to suggest knowledge and practises in the experience of teaching that result as an improvement of skills and abilities appropriate for future commitments required by the job world. Method: Methodological reasons, subject contents and experiences positively carried out during the activities of the course of Representation Techniques and Data Management (in the post graduate “Laurea Magistrale”) are treated, focusing on all the resources needed to conduct profitable operations training and first clarifying the specific skills and experience required for the teaching staff, essential qualities to ensure good results: all the activities organized to achieve the training objectives are based on the belief that early training is needed to trigger virtuous review processes for engineering practice and that opportunities to practice through simulations in the academic curriculum for future engineers can produce effects of greater permanence and enable an enhancement of learning outcomes. Result: The analysis, which is addressed primarily to illustrate the result of some of the outcomes of exercise activities leaded by students, brings attention to a solicitation that seems to be constraining and that concerns the system of relations required between operators of the design and construction process, which are requested to enter into shared aims while operating in the specificity of the various technical fields; in this sense, the tricks of the CAD, which is at the service of a geometric knowledge, measured and fulfilled by its attributes, the attention demanded by BIM, which builds a widespread and open network of relationship, the cunnings of the GIS, which has to gather dynamic information and alternative choices, appear to address areas of operational testing following a single purpose directed towards a better characterization of the process of conceptual development and a more advantageous control of the working method. Discussion & Conclusion: So, with the design and over the usual representations, we speak of computer tricks to say that to be understood as the necessary infrastructure to solicit and investigate the reasons of doing and how to solve the complexity of operating on the field, upon which students must impractical themselves to identify qualities and limits, whether they are exploring the reasons of the survey or the reasons bound with the design; certainly a renewal for the most usual ways of designing useful to produce different levels of knowledge and a new shared place for the exchange and discussion of the hypotheses, with what results

Expressive movement generation with machine learning

Movement is an essential aspect of our lives. Not only do we move to interact with our physical environment, but we also express ourselves and communicate with others through our movements. In an increasingly computerized world where various technologies and devices surround us, our movements are essential parts of our interaction with and consumption of computational devices and artifacts. In this context, incorporating an understanding of our movements within the design of the technologies surrounding us can significantly improve our daily experiences. This need has given rise to the field of movement computing – developing computational models of movement that can perceive, manipulate, and generate movements. In this thesis, we contribute to the field of movement computing by building machine-learning-based solutions for automatic movement generation. In particular, we focus on using machine learning techniques and motion capture data to create controllable, generative movement models. We also contribute to the field by creating datasets, tools, and libraries that we have developed during our research. We start our research by reviewing the works on building automatic movement generation systems using machine learning techniques and motion capture data. Our review covers background topics such as high-level movement characterization, training data, features representation, machine learning models, and evaluation methods. Building on our literature review, we present WalkNet, an interactive agent walking movement controller based on neural networks. The expressivity of virtual, animated agents plays an essential role in their believability. Therefore, WalkNet integrates controlling the expressive qualities of movement with the goal-oriented behaviour of an animated virtual agent. It allows us to control the generation based on the valence and arousal levels of affect, the movement’s walking direction, and the mover’s movement signature in real-time. Following WalkNet, we look at controlling movement generation using more complex stimuli such as music represented by audio signals (i.e., non-symbolic music). Music-driven dance generation involves a highly non-linear mapping between temporally dense stimuli (i.e., the audio signal) and movements, which renders a more challenging modelling movement problem. To this end, we present GrooveNet, a real-time machine learning model for music-driven dance generation