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Additional applications for SKA-derived big data technologies - an Overview Professor John Bancroft, Director INTERACT Contents INTERACT Applications under development Other applications of Big Data/Data intensive tools Metrology


  1. Additional applications for SKA-derived big data technologies - an Overview Professor John Bancroft, Director INTERACT

  2. Contents • INTERACT • Applications under development • Other applications of Big Data/Data intensive tools • Metrology of data quality and provenance • “Industry 4.0” • Engineering design • Integrated science and engineering design • Intelligent supply chain management • Economics and Business • Social sciences • Empowering indigenous peoples with big data tools • Sport science • Rehabilitation • Tourism and Hospitality

  3. INTERACT • A collaborative R&D initiative aimed at developing generic real time big data tools and adapting and optimising them to provide high value products and services for NZ companies and society • The INTERACT Partners so far include 5 NZ Universities, 2 CRIs and 2 companies. It is intended that more Universities, CRIs and companies will be recruited to the Partnership • International Partners will also be sought where necessary skills or resources are not available in NZ • The SKA Project, accessed via the NZ Alliance, will be a major source of key core technologies (see diagram)

  4. SELECTED APPLICATION DOMAIN PROJECTS ON INTERACT BIG DATA • Transportation • Cloud Computing Management and Autonomous Vehicles • Real time decision • Data Intensive DOMAIN SPECIFIC support utilising Platforms TECHNOLOGIES FOR BIG DATA indigenous knowledge • Internet of Things • Urban Monitoring, Smart Cities, Computing Planning and ecology infrastructure GENERIC CORE TECHNOLOGIES Technologies FOR BIG DATA and Business • Low Power • Deep learning/machine learning/adaptive Processing • Intelligent supply systems chain • Neuro-computing management • Predictive modelling • Real time processing • Signal processing • Brain Interfaces • Image processing /computer vision and Analytics • Real time data stream processing • Precision • Real time data stream analytics Agri-Tech • Data Visualisation Health, Social • Real time data visualisation NB: Core • HPC/distributed computing and Justice Geosciences and • VLSI • Health Epidemiology technologies System Environment in purple • Disaster • Precision derive from Forecasting and Healthcare Management the NZA • Social Data work on the • Environmental Analytics • Crime Monitoring, SKA project informatics and biosecurity and evidence conservation efficacy

  5. Metrology of data quality and provenance…. what is the opportunity? • There are many “Big Data” research initiatives around the World • Most are concentrating on analytics for information and value extraction rather than on these four crucial aspects…. 1. Measuring and annotating in real time how “good” those data streams and sets actually are, especially before they are converted (A to D) to enter the “digital world” 2. Using the annotation “ wrapper ” to confer inter-operability across diverse streams and sets of data 3. Defining what would be appropriate uses of information derived from them? 4. Adjusting the fidelity of the data generation, in real time, to meet changing needs

  6. The objective of such R&D • For NZ to become a world-leading data metrology research, technology & skills development centre in order to: • Drive fundamental research into • Real time metrology of the quality of data • Uncertainty prediction and annotation • Real time data fusion and inter-dependency optimisation • Real time control and optimisation of data acquisition • Meta-data enabled inter-operability • Create and deliver • Generic tools to “capture”, predict and annotate the quality of those data • Calculate and/or predict inter-dependencies of data-sets and data-streams • Tools to control and adapt the data generation and capture processes in light of the intended use …..”fit for purpose”

  7. Benefits and outputs for NZ • Major increase in Big Data involvement and research activity • Ensuring data generation is fit for purpose • Ensuring data flows are interoperable • Enabling digital manufacturing and “Industry 4.0” • Major new area of research • Major PBRF impact • Collaboration with research intensive partners (e.g. Cambridge, Intel, Google, IBM) • World Class R&D activity in the region • focussed on pulling through outputs to benefit local SMEs and supply chains. • Promoting inward investment by global multi-nationals • An application domain (metrology) able to receive its outputs and apply them to generate wealth and improve the quality of life in NZ

  8. Data Fidelity Value Flow Maths Value Algorithms Extraction: Software Analytics engineering: Applications: Informatics Real time Uncertainty High Prime and Manipulation budgets Big Data Performance Tier 1 users quality Visualisation Computing: tools Trade Image Sensors: Associations processing Instruments: Industry Modelling Decision Storage: Academia support

  9. Industry 4.0 • Engineering design • Intelligent supply chain management • Economics and business

  10. Engineering design Data Visualisation Virtual Labs Autonomous & Intelligent vehicles Computer vision Digital Design & Manufacture Virtual test and prototyping

  11. Intelligent supply chain management • Connected manufacturing and measurement machines • Connected supply lines • Data-driven procurement • Real time supplier status monitoring • Data-driven logistics • Connected customer management • Co-design • Co-innovation

  12. Social sciences • Urban planning • Infrastructure planning and management • Community engagement • Empowering indigenous folk with real time, big data enabled: • Expert systems • Decision trees • Decision support

  13. Sport Science • Real time image processing • Automatic calculation of velocities, accelerations, forces and energies • Tracking of movement and technique • With superimposition of correct technique and/or images of iconic exemplars (e.g. Ronaldo, Federer, Woods, Lillee) • Real time coaching • Product development, prototyping and testing • Multi-camera team tracking

  14. Rehabilitation • Brain-computer interface • Signal processing for • Movement stimulation • Prosthetic control • Patient support systems • Automatic, autonomic, adaptive and cognitive systems control • Brain signalling decoding • Patient stimulation via real time feedback

  15. Economics and business • Shopper behaviour monitoring and assessment • Supply chain management • Visualisation of business informatics • For decision making support • Real time stock control and procurement • Forecasting and prediction of consumers’ sentiment

  16. Tourism and Hospitality • Forecasting tourist flows • Tracking of transient populations • Disaster recovery and resource planning • Assessing requirements from affected population figures • “bums on seats” • Efficacy of promotional activities • Macro and micro economic and environmental effects of visitors

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