National ICT Australia Ltd.
National ICT Australia Ltd.
National ICT Australia Ltd | Date: 2017-07-19
The present disclosure provides a computer-implemented method for enhancing vision for a vision impaired user. The method comprises, for a point in an input image, determining (210) a weight for the point based on visual importance of the point in the input image; comparing (220) the weight for the point to a threshold; and if the weight for the point meets the threshold, determining (230) a first output value for an imaging element of a vision enhancement apparatus so that a difference between the first output value and an intensity level of a portion of the input image neighbouring the point increases with the weight, wherein the difference is at least one Just-Noticeable- Difference of the vision enhancement apparatus, such that when the first output value is applied to the imaging element of the vision enhancement apparatus to create a first visual stimulus, the first visual stimulus is substantially perceivable by the vision impaired user.
National ICT Australia Ltd | Date: 2015-07-31
This disclosure relates to generating shares of secret data represented by secret data elements based on a first threshold for the number of shares that allow determining the secret data. The shares are determined based on the secret data, one or more random data elements added to the secret data and coefficients of a systematic maximum distance separable (MDS) code. The MDS code has a number of input data elements that is equal to the first threshold and that is also equal to the number of secret data elements plus the number of the one or more random data elements. The method of determining shares can be used for different data sets and multiple pairs of the shares can be generated to allow performing an operation between the first secret data with the second secret data based on distributed processing of each of the multiple pairs.
National ICT Australia Ltd | Date: 2015-02-13
The disclosure concerns processing hyperspectral or multispectral images. Image data comprises a sampled image spectrum represented by first values for each pixel location representative of an intensity associated with a wavelength index. A processor determines for each pixel location second values based on a measure of similarity between pixel locations with respect to the first values such that two pixel locations that 5 are similar with respect to the first values are also similar with respect to the second values. The processor then stores for each pixel location the determined one or more second values associated with that pixel location on a data store. This way, the image data is made suitable for applications, such as clustering or displaying, while pixels that are similar in the input image are also similar in the output data. This means that a 10 structure between the pixels in the input image is preserved.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.1.7 | Award Amount: 2.41M | Year: 2013
Forging Online Education through FIRE (FORGE) is a project proposal bringing the FIRE and eLearning worlds together. FORGE will align FIRE with the ongoing education revolution for mutual benefit. In particular, this project is concerned with specifying development methodologies and best practices for offering FIRE experimentation facilities to learners and to the learning community in general, related both to communications and IT but also to other disciplines including the sciences and social sciences, leading to a strong connection between the learning community and existing FIRE platforms and supporting tools. The learning community will benefit from the use of the very high performance facilities. FIRE will benefit through the addition of an ever-growing set of FIRE-specific learning materials for an increasing number of FIRE-based students, leading to increased awareness and use.\nWithin the FORGE project we will:\n Study and develop new processes and approaches to online learning based on the integration of FIRE facilities and eLearning technologies.\n Inject into the higher education learning sphere the FIRE portfolio of facilities and tools.\n Introduce the learning community to the concepts of Experimentally Driven Research.\n Increase the overall accessibility and usability of FIRE facilities through the layering of how-to-use resources over the FIRE platforms.\nThe FORGE project believes that it is the right time for students, especially those at higher education institutes, to become familiar with FIREs portfolio. Most FIRE platforms and tools are already sufficiently mature to be used by end-users and thus can be introduced seamlessly to current student curricula. Moreover, by targeting students we are aiming at the next-generation future-internet facilities users who having learnt through FIRE facilities will be enthusiastic future FIRE users. By investing in students, FORGE is creating a path for FIREs long-term sustainability.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.1.6 | Award Amount: 11.07M | Year: 2012
A federation of experimentation facilities will significantly accelerate Future Internet research. Fed4FIRE will deliver open and easily accessible facilities to the FIRE experimentation communities, which focus on fixed and wireless infrastructures, services and applications, and combinations thereof. The project will develop a demand-driven common federation framework, based on an open architecture and specification. It will be widely adopted by facilities and promoted internationally. This framework will provide simple, efficient, and cost effective experimental processes built around experimenters and facility owners requirements. Insight into technical and socio-economic metrics, and how the introduction of new technologies into Future Internet facilities influences them, will be provided by harmonized and comprehensive measurement techniques. Tools and services supporting dynamic federated identities, access control, and SLA management will increase the trustworthiness of the federation and its facilities. A FIRE portal will offer brokering, user access management and measurements. Professional technical staff will offer first-line and second-line support to make the federation simple to use. The project will use open calls to support innovative experiments from academia and industry and to adapt additional experimentation facilities for compliance with Fed4FIRE specifications. A federation authority will be established to approve facilities and to promote desirable operational policies that simplify federation. A Federation Standardization Task Force will prepare for sustainable standardization beyond the end of the project. The adoption of the Fed4FIRE common federation framework by the FIRE facilities, the widespread usage by both academic and industrial experimenters, and the strong links with other national and international initiatives such as the FI-PPP, will pave the way to sustainability towards Horizon 2020.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.1.6 | Award Amount: 4.95M | Year: 2013
The explosion of information available online and the ubiquity of connected media devices are rendering existing content recommendation and content delivery system inadequate. The recent data deluge has made finding relevant content a daunting task. Users are presented with seemingly infinite choices for consumption and because recommendation systems are typically service or application specific and based on little or narrow data, which results in too coarse-grained recommendations. Furthermore, existing content delivery systems focus their media adaptation to match device and network characteristics, instead of users context and profile that could help increase the relevance of content search and the viewing conditions.\n\nWe introduce User Centric Networking (UCN), a new communication paradigm that leverages user information at large to store, discover and deliver content in the most optimal conditions at any time, for a given user in a specific context. UCN relies on a distributed Personal Information Hub (PIH) that contains information such as the user context, her mood, historical data about her taste, expectation, social acquaintances, and her network/device resources. UCN will use these data to decide at any point in time where to search content and where to deliver it from, and how to configure the delivery for a user in her context. In addition, UCN creates opportunities for a new range of personalized services, based on geo-location or fusion of very different sensor data for example.\n\nUCN will deliver prototypes for a new generation of Internet-based applications and services in the digital media sector and beyond. These prototypes will deployed in Technicolors Home Networking product line, designed with real data and tested in real conditions at Portugal Telecom and a NICTA who both use Technicolors most recent gateway technology.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.1.7 | Award Amount: 6.62M | Year: 2014
FIRE initiative targets the creation of a multidisciplinary research platform for investigation and experimental evaluation of innovative ideas in networking and services.At the infrastructure level, such a platform should embrace all major wired and wireless access technologies.FLEX aims at contributing a crucial missing piece in FIREs infrastructure puzzle:cellular access technologies and Long-Term Evolution (LTE) in particular.LTE 4G cellular networks are gradually being adopted by all major operators in the world and are expected to rule the cellular landscape at least for the current decade. They will also form the starting point for further progress, ushering in the era of 5G mobile networks.The lack of open or at least openly configurable cellular equipment and core network software has limited applied research in this field within the boundaries of vendor and operator R&D groups.In FLEX we will build programmable LTE components as extensions to existing European testbeds, thus providing an open and remotely accessible platform for experimentation with LTE.The deployment of LTE components will take place on three existing and well-established FIRE wireless testbeds, thus reducing the required integration effort, and placing it instead on novel aspects of LTE experimentation-driven research.FLEXs experimentation environment will feature both open source platforms and configurable commercial equipment that span macro-cell, pico-cell and small-cell setups. We will build upon current FIRE testbed management and experiment control tools and extend them to provide support for the new LTE components, and we will develop specialized monitoring tools and methodologies. Focus will be placed on mobility, with the establishment of both real and emulated mobility functionalities on the testbeds.FLEX will organize two open calls, aiming to attract research groups to conduct sophisticated experiments, test innovative usages or provide functional extensions of LTE testbeds
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.1.7 | Award Amount: 1.31M | Year: 2013
The main target at which SMARTFIRE aims is the design and implementation of a shared experimental facility spanning different islands located in Europe (EU) and South Korea (KR). This large scaled facility will promote joint experimentation among EU and KR experimenters, encouraging them to conceive and implement innovative protocols, able to take advantage of the current leading network technologies. Existing testbed infrastructures in EU and KR, already featuring WiFi enabled nodes, wireless sensors and supporting WiMax, LTE and OpenFlow technologies, are going to be extended and federated in the experimental, as well as the control plane. These two directions are going to be supported by the leading experimental frameworks adapted by most EU testbeds, the cOntrol and Management Framework (OMF) and the Slice Federation Architecture (SFA). The OMF framework, currently supporting control and experimentation in wireless islands, is going to be expanded, in order to support experimentation with OpenFlow switches, thus integrating wireless with\nOpenFlow testbeds. Moreover, unique features, only existing in the KR testbeds will be integrated into OMF, in order to unleash the hidden potential of experimenting with heterogeneous resources. The federation in the control plane that allows assignment of multiple heterogeneous resources under a single slice is going to be developed through the extensions of SFA. Interconnection of the aforementioned islands will take advantage of the GEANT network, in the case of the EU research sites, while the respective KOREN/KREONET will be utilized by the KR sites. The two currently disjoint networks are going to be interconnected via the Trans-Eurasia Information Network (TEIN3/TEIN4) and the Global Ring Network for Advanced Application Development (GLORIAD). Finally, SMARTFIRE aims at the implementation of various pilot use cases, designed to demonstrate the power of the EU-KR shared Future Internet experimental facility.
University of Melbourne and National ICT Australia Ltd | Date: 2015-05-15
A method of positioning an intraocular device at an intraocular position is provided. The method comprises providing a first and a second element selected such that a magnetic force attracts the first element and the second element to each other. The method also comprises positioning the first element in a suprachoroidal space of an eye and positioning the intraocular device in an intraocular space at a portion of tissue of the eye. The method further comprises positioning the second element in the intraocular space of the eye. The first element, the second element and the intraocular device are positioned such that the portion of the tissue of the eye and at least a portion of the intraocular device are positioned between the first and second elements such that the magnetic force at least contributes to securing the intraocular device at the portion of the tissue of the eye.
NATIONAL ICT AUSTRALIA Ltd | Date: 2015-07-28
There is provided a computer-implemented method for controlling operation of a plurality of devices of a facility that consume energy. The method comprises obtaining parameters of an energy model representing the energy consumed by the plurality of devices of the facility, the energy model including a first plurality of variables for operating the plurality of devices and a second plurality of variables for scheduling activities to be conducted in the facility; receiving requests for the activities to be conducted in the facility, the requests including requirements in relation to the activities; and automatically determining, based on the energy model, values of the first plurality of variables to control the operation of the plurality of devices, and values of the second plurality of variables that meet the requirements in relation to the activities.