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Fujitsu Ltd. is a Japanese multinational information technology equipment and services company headquartered in Tokyo, Japan. It is the world's third-largest IT services provider measured by revenues .Fujitsu chiefly makes computing products, but the company and its subsidiaries also offer a diversity of products and services in the areas of personal computing, telecommunications, advanced microelectronics, and air conditioning. It has approximately 162,000 employees and its products and services are available in over 100 countries.Fujitsu is listed on the Tokyo Stock Exchange and is a constituent of the Nikkei 225 and TOPIX indices. Wikipedia.

Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-30-2015 | Award Amount: 6.87M | Year: 2016

TagItSmart sets out to redefine the way we think of everyday mass-market objects not normally considered as part of an IoT ecosystem. These new smarter objects will dynamically change their status in response to a variety of factors and be seamlessly tracked during their lifecycle. This will change the way users-to-things interactions are viewed. Combining the power of functional inks with the pervasiveness of digital (e.g. QR-codes) and electronic (e.g. NFC tags) markers, zillions of objects will embed cheap sensing capabilities thus being able to capture new contextual information. Beside this, the ubiquitous presence of smartphones with their cameras and NFC readers will create the perfect bridge between everyday users and their objects. This will create a completely new flow of crowdsourced information, which extracted from the objects and enriched with user data, can be exploited by new services. TagItSmart will create an open, interoperable cloud-based platform with all the tools and enabling technologies, which will address the challenges related to the lifecycle management of new innovative services capitalizing on objects sensorization. TagItSmart will empower all steps involved from creating smart markers, Functional Codes (FCs), to supporting secure and reliable acquisition and consumption of such contextual data, while preserving user privacy, to the provision of generic functionalities and a service composition platform which will allow even inexperienced users to create and deploy their FCs based services while maintaining system efficiency. To boost the platform adoption, a set of industrial use cases will be used as a baseline for development, while additional stakeholders will be engaged through a co-creation Open Call approach. A carefully planned engagement activity will ensure the establishment and sustainable expansion of the TagItSmart ecosystem fostering long term innovation and exploitation capabilities well beyond the project duration.

Agency: Cordis | Branch: H2020 | Program: IA | Phase: LCE-07-2014 | Award Amount: 3.75M | Year: 2015

Power systems undergo massive technological changes due to the ever increasing concerns for environmental and energy sustainability. The increase of RES and DG penetration is one of the main goals in Europe in order to meet the environmental targets. However these goals will require new business cases and must be based on innovative ICT tools and communication infrastructure. On parallel, following the M/490 EU Mandate, CEN, CENELEC and ETSI proposed a technical report describing the Smart Grid Reference Architecture and the Smart Grids Architecture Model (SGAM) framework. A key objective of new Research and Innovation projects should be to provide solutions and ICT tools compatible with the SGAM and the standardization activity in Europe. Such new projects should also support the standardization activity by proposing additions or changes related to their objectives. Another key issue to address is whether the existing telecommunication infrastructure is sufficient to support in mass scale the new business cases and Smart Grid services. SmarterEMC2 implements ICT tools that support Customer Side Participation and RES integration, and facilitate open access in the electricity market. These tools take into account the SGAM as well the future structure of the Distribution Network as described by the relevant EU bodies and organizations. The project supports standardization activity by proposing adaptation to data models of market-oriented standards (IEC 62325-351) and field level standards (IEC 61850). Moreover, the project is fully dedicated towards achieving a maximum of impact. To validate the proposed technologies, the project includes 3 real-world pilots and large-scale simulation in 3 laboratories. The former will demonstrate the impact of Demand Response and Virtual Power Plants services in the real world settings, while the latter will reveal the ability of the communication networks to support massive uptake of such services.

The advent of Cs-corrected scanning transmission electron microscopy (STEM) has advanced the observation of atomic structures in materials and nanotechnology devices. High-angle annular dark-field (HAADF)-STEM using an annular detector visualizes heavy elements as bright spots at atomic resolution that can be observed with the Z-contrast technique. In this study, the atomic column of light elements is directly observed as bright spots by middle-angle bright-field (MABF)-STEM imaging. Therefore, a double-detector STEM imaging method was developed, exploiting the advantage of both MABF-STEM and HAADF-STEM to maximum, which consists of multiple exposures of simultaneously observed MABF- and HAADF-STEM images in red-green-blue color. © 2012 American Institute of Physics.

Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-14-2014 | Award Amount: 8.21M | Year: 2015

SESAME targets innovations around three central elements in 5G: the placement of network intelligence and applications in the network edge through Network Functions Virtualisation (NFV) and Edge Cloud Computing; the substantial evolution of the Small Cell concept, already mainstream in 4G but expected to deliver its full potential in the challenging high dense 5G scenarios; and the consolidation of multi-tenancy in communications infrastructures, allowing several operators/service providers to engage in new sharing models of both access capacity and edge computing capabilities. SESAME proposes the Cloud-Enabled Small Cell (CESC) concept, a new multi-operator enabled Small Cell that integrates a virtualised execution platform (i.e., the Light DC) for deploying Virtual Network Functions (NVFs), supporting powerful self-x management and executing novel applications and services inside the access network infrastructure. The Light DC will feature low-power processors and hardware accelerators for time critical operations and will build a high manageable clustered edge computing infrastructure. This approach will allow new stakeholders to dynamically enter the value chain by acting as host-neutral providers in high traffic areas where densification of multiple networks is not practical. The optimal management of a CESC deployment is a key challenge of SESAME, for which new orchestration, NFV management, virtualisation of management views per tenant, self-x features and radio access management techniques will be developed. After designing, specifying and developing the architecture and all the involved CESC modules, SESAME will culminate with a prototype with all functionalities for proving the concept in relevant use cases. Besides, CESC will be formulated consistently and synergistically with other 5G-PPP components through coordination with the corresponding projects.

A position information adding apparatus includes: a reference position setting unit which sets a plurality of reference positions for each of a plurality of pictures contained in digitalized video data; a region setting unit which sets a first position information adding region at a first position defined based on at least any of the plurality of reference positions and a second position information adding region at a second position different from the first position, for each of the plurality of pictures; and a position information embedding unit which embeds a first moving pattern which moves on the pictures in a first temporal period into the first position information adding region and a second moving pattern which moves on the pictures in a second temporal period into the second position information adding region.

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