Trento, Italy
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Sandak A.,National Research Council Italy | Sandak J.,National Research Council Italy | Simoes B.,Fondazione GraphiTech
WCTE 2016 - World Conference on Timber Engineering | Year: 2016

The Bio4ever project is a multi-disciplinary research dedicated to fulfilling gaps of lacking knowledge on some fundamental properties of novel bio-based building materials. Investigated bio-materials will be characterized before and during degradation by biotic and a-biotic agents. The experimental data obtained will be used for development of the numerical models simulating the material deterioration in a function of time and exposition. Accurate service life time prediction, service life costing and aesthetical performance models of recently available biobased building materials are foreseen as the most important deliverables. Dedicated algorithms simulating material modifications by taking into account original material characteristics and degrading process parameters will be developed at the micro, mezzo and macro scale. The appropriate numerical tools, able to capture the multi-scale evolution of damage will be tested under realistic conditions within field trials and surveys on structures in service.


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.8.1 | Award Amount: 2.93M | Year: 2013

14% of Internet users regularly upload and share videos in a mobile scenarios. Videos are increasingly used as a key media, thus changing the way we create and consume digital information for professional or entertainment purposes.c-Space benefit from this trend and deliver a low-cost solution to reconstruct 4D scenes (3D plus time) of indoor or outdoor events from casual real-world footage (e.g. captured by mobile phones) through Video Based Rendering (VBR) techniques.c-Space exploits familiarity with Augmented Reality (AR) software for tablets/smartphones and on emerging micro-projection technologies to unleash users inventiveness by letting them create 4D content in a completely new way, thus reconstructing 3D scenes of real scenes at different times (4D) (e.g. public concerts, sports events but also meetings, parties or simple outdoor spaces etc.), which can be used as the virtual stage for ubiquitous media-sharing.In fact, in c-Space, the 4D scene becomes a spatio-temporally-sorted repository of the digital resources available in the area. Users can contribute to the content through a creative crowdsourcing approach in which new localised digital content (e.g. videos, images, 3D models etc.) is created, linked (logically, geographically, and visually), and shared within its surrounding space.By significantly shortening the 3D content creation pipeline, c-Space fills a gap not covered by any technology current in the market, thus yielding manifold savings (in terms of time & resources) in several creative industries (performing arts, advertising, cinema, video games, cultural tourism etc.).Non-technical issues will also be explored, i.e. 1) social acceptance or social communication mechanisms emerging from projecting information onto the surrounding space, and 2) creation of innovative businesses including for instance, new services for personalised forms of localised advertisement or for cultural tourism.


Grant
Agency: European Commission | Branch: FP7 | Program: MC-ITN | Phase: PEOPLE-2007-1-1-ITN | Award Amount: 2.82M | Year: 2008

SAGA aims at advancing the mathematical foundations of CAD technology. Based on some exploratory work, we believe that this technology can be greatly enhanced by exploiting results and techniques from many different fields in mathematics: Algebraic Geometry, Symbolic Computation, but also Numerical Analysis and Approximation Theory. The main goal of the proposal is to exploit the diverse knowledge of the partners (from universities, research institutes, and industry) for training a new generation of mathematicians. To master the challenges of combining CAD and Algebraic Geometry, Europe needs new experts with experience from different schools of thought and applications, who have built their own Europe-wide contact net and have either gathered important industrial experience before pursuing an academic career or have academic research experience before entering industry. SAGA offers an environment of researchers from different areas with a common vision, and tailor-made training opportunities to learn geometric modeling both from the industrial and the fundamental mathematics perspective. The network-wide training will offer one large training event per year, i.e. a school, two study groups for joint problem solving, and a final workshop. Complementary skills will be trained both locally and also at the annual events that are open also for external researchers. The topics envisaged for training-through-research include how current CAD algorithms can be improved when several representations for the same object are available, with easily performed conversion between them; how algebraic and geometrical tools can be adapted to solve CAD problems; how concrete CAD challenges (like hole filling, offsets, singularities) can be dealt with using Algebraic Geometry; as well as practical problems posed by industry.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SST.2008.3.1.1.;SST.2008.3.1.2. | Award Amount: 4.87M | Year: 2010

i-Tour will develop an open framework to be used by different providers, authorities and citizens to provide intelligent multi-modal mobility services. i-Tour client will support and suggest, in a user-friendly way, the use of different forms of transport (bus, car, railroad, tram, etc.) taking into account user preferences as well as real-time information on road conditions, weather, public transport network condition. To do so i-Tour promotes a new approach to data collection based on recommender system based on the information provided by the whole user community. i-Tour mobility client applications will feature a very user-friendly interface accessible from PCs, PDAs and Smartphones. i-Tour clients are designed to promote use of public transport by encouraging sustainable travel choices and by providing rewarding mechanisms for users choosing public travel options. Sustainable travel preferences, e.g. measured in terms of CO2 emission saved by using public transport, are rewarded, e.g. through free public transport tickets, thus promoting and encouraging environmental friendly travel behaviours.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-TP | Phase: NMP.2013.3.0-2 | Award Amount: 5.10M | Year: 2014

Mountains in Europe occupy ~35% of the land area and are mostly covered by forests. Forestry operations in mountain areas are seldom performed by the harvester/forwarder system, being the sector still characterized by manual felling and extraction of timber by cable cranes. Due to the limits posed by steep terrain conditions, poor road network of mountain areas, limited storage and operational room, harvesting and extracting systems are more expensive and less flexible compared to the cut-to-length systems based on wheeled machines, commonly found in flatland forests of EU Nordic Countries. Powerful and intelligent machines must be developed for forest works in steep terrain. This is the gap that SLOPE will try to fill in by developing an integrated system, from forest information system to logistic transportation, that allows optimization of the forest production in mountain areas. The project will integrate information from remote sensing, Unmanned Aerial Vehicles (UAV) and on-field surveying systems, to support macro and local analysis to characterize forest resources. Spatial information will be integrated with multi-sensor data in a model for Sustainable Forest Management and for optimization of logistics during forest operations. Intelligent technologies will be integrated in the cable crane/processor head to measure different data for the assessment of the assortment variety. Different Non-Destructive Testing methods, as well as pioneering chemometric analysis, will be tested during the project. Different traceability systems will be coupled to chemometric data, to trace the material, from the site throughout the supply chain. Information about material origin, quality and availability will be integrated in a unique system, accessible online and available in real time to a series of operators. The integration and post-processing of data collected by SLOPE will be used for further optimization of the mountain forest models and finally silviculture routines


Grant
Agency: European Commission | Branch: FP7 | Program: CSA | Phase: ICT-2011.4.1 | Award Amount: 1.98M | Year: 2012

The INSPIRE Directive 2007/2/EC, establishes an Infrastructure for Spatial Information in Europe, requiring large amounts of environmental digital content to be made accessible across Europe, resulting in a data pool that is expected to be of huge value for a myriad of value-added applications. The INSPIRE Implementing Rules Legal Acts outlines these data pools, but more work is needed.Making data available according to the INSPIRE standards in 30 countries using 22 languages requires specific skill sets that few public authorities have. The management of this content represents an opportunity for SMEs active in this sector.SMEs can enable countries to fulfil the Directive, creating new market opportunities with increased potential for innovation and new jobs. Due to the legal requirements, the INSPIRE implementation becomes the entry-point for crucial business opportunities, opening new, or reinforcing existing perspectives (including Linked Open Data, Sensor Web, cloud computing and other e-environment application domains).SmeSpires purpose is to encourage and enable the participation of SMEs in the mechanisms of harmonising and making large scale environmental content available. smeSpire will:1. assess market potential for SMEs in relation to INSPIRE as an integral component of the Digital Agenda for Europe, describing obstacles for SMEs to enter this market in terms of knowledge gaps2. collate, translate and exploit a Best Practice Catalogue in the management of environmental content3. Develop a multilingual package to train environmental data analysts in the maintenance and exploitation of environmental data commons, and4. create a network capable of transferring result-driven knowledge throughout Europe with research centres, environmental agencies, progressive technology providers and digital content providers.smeSpire offers the Commission an early integration of results for relevant programmes (ISA) directly into the knowledge base of geo-ICT SMEs


Zelenkauskaite A.,Drexel University | Simoes B.,Fondazione Graphitech
Proceedings of the Annual Hawaii International Conference on System Sciences | Year: 2015

Given the proliferation of social media in mass media contexts, how do media and their users interact on them? Guided by Para social interaction and multiplexity theory, the interaction between 223 Italian radio stations and their users was analyzed. Social network analysis was performed to identify the interconnectedness across radio stations and three social media platforms: Facebook, Twitter, and Google+. Findings revealed that radio stations did utilize multiple platforms, yet, the interactions were limited to content redistribution and repetition. As for the users, contrary to expected favoring of one specific radio, a large proportion of users interacted with multiple radio stations by fulfilling their individual instrumental goals. The results of this study were fore grounded in instrumental social capital framework. Implications of multiple interaction across platforms and radio stations signal the need to reconceptualize the instrumental needs users in light of this cross-platform behavior. © 2015 IEEE.


Soave M.,Fondazione Graphitech | De Amicis R.,Fondazione Graphitech
Proceedings of the 2012 18th International Conference on Virtual Systems and Multimedia, VSMM 2012: Virtual Systems in the Information Society | Year: 2012

The recognition of movements and poses of the body is a subject of fundamental importance to create simple, new and effective methods of natural interaction between man and machine. The complete understanding of human gesticulation is the crucial base for creating intuitive and easy to use natural interfaces. The main purpose of this paper is to examine the state of the art, illustrating techniques of particular interest for the recognition of stroke, trajectories and 3D or 2D gesture. Moreover, here the implemented methods and techniques used in order to recognize three different types of inputs: simple poses of the hands, fast swipe and complex gestures in 3D space are described. Motion analysis has been made using a depth camera and a skeleton detection algorithm. The complex gestures are compared using an improvement of the technique called Dynamic Time Warping (DTW). This technique was analyzed in a very accurate way, in order to understand which implementation would lead to an effective, reliable and fast recognition of gestures. The results and the implementated methodologies have been accurately exposed and adequately compared. © 2012 IEEE.


Ture Savadkoohi B.,Seraj Higher Education Institute | De Amicis R.,Fondazione GraphiTech
Smart Innovation, Systems and Technologies | Year: 2016

One of the new emerging of ubiquitous manufacturing is Mass Customization. The combination of 3D scanning systems with mathematical technique makes possible the development of CAD system which can help the selection of good footwear for a given customer. During the surface reconstruction process, a mesh is calculated from points cloud. This mesh may have holes corresponding to deficiencies in the original point data. Although these data are given in an arbitrary position and orientation in 3D space. Moreover, there is a need to mesh segmentation in order to shape retrieval form shoe last data base. Thus to apply sophisticated modeling operation on data set, substantial preprocessing is usually required. In this paper first, we describe an algorithm for filling hole. Then all of the models are aligned and at the end the models are segmented in order to use for further analysis. © Springer International Publishing Switzerland 2016.


Savadkoohi B.T.,Seraj Higher Education Institute | De Amicis R.,Fondazione GraphiTech
Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2015, IHCI 2015, Game and Entertainment Technologies 2015, GET 2015 and Computer Graphics, Visualization, Computer Vision and Image Processing 2015, CGVCVIP 2015 - Part of the Multi Conference on Computer Science and Information Systems 2015 | Year: 2015

One of the new emerging areas of ubiquitous manufacturing is "Mass Customization". A new production technology (also called 3D non-contact optical scanning) has been developed that can revolutionize the way how mass customization products are delivered by fast, flexible, and cost-effective production directly from 3D foot data to satisfy the fit and comfort requirement of costumers. In this paper in order to produce the right fit and comfort footwear, an algorithm for cutting 3D triangle mesh to several sections from heel toward toe is proposed. Then the area of each contour is calculated and searched in shoe last data base for finding the similar shoe last's contour. If the area and shape of provided foot's contour and shoe last's contour are the same, that one is chosen as the best fit, otherwise the shoe last's contour which has the same or near area by different shape is deformed based on the foot's contour.

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