Thomas Heinis form Imperial - Large scale spatial analytics for road space optimisation b y Space Lab. Spatial data information about the locations and shapes of geographic features and relationships between them stored in coordinates and topology. Mapped stat data, GPS records, points of interests, junction and road segments with explosion and trajectories wit the prevalence of mobile devices. Developing stable algorithmic tools for analysis on big spatial data which has spots and regions in scalable way, Building block that is hottest spot search where the worst congestion spot in London is calibrated and dense location is proposed with MaxRS. With help of Naive approach a evaluation aggregation of every location with infinite number of locations.
Tuesday, 30 April 2019
Data±Geo London : Spatial Analysis and Geo prediction
Thursday, 11 April 2019
Mapping the linguistic landscape of Helsinki, Finland using social media data
Social media and digital footprints in urban space at Pearson building , Department of geography UCL dated 11th April 2019
Friday, 5 April 2019
Visualisation in Big Sense
Visualisation Literacy : Improving Assessment by David Concannon dated 5th April 2019 at UCL Bartlett CASA room PhD upgrade seminar
Thursday, 4 April 2019
Data Science Modelling in Fintech
IWOCA gave a presentation on Data Science Modelling in Fintech
Data with customer were repeated in each day with price on the door which was repeated in every row which also included as a co-variable. The data format have been correlated which is represented with interaction with Time. To start with the approval period to have interaction with time and trade with other covariation. The other funded column which is binary is a dependent variable , it is important to note that it stops when the event has occurred hence we need to apply regression model on the simulated data which is generated model presented on the fitted model data. In practise the time in funding is censored at the present day which is yet to be happened.
Tuesday, 2 April 2019
Digital Technology for improving productivity in food manufacturing
Digital technology at Loughborough University London at Here East, Queens Park dated 2nd April 2019
IN smart food factory the information will flow up and down the supply chain. There is technology already exit to build the smart food factory. Smart machine which is mapping their own needs. There are producing to forecast to create the products on the warehouse so that it is stored in the place so that we could finalise the label to be fixed. One of the obstacle is worried IOT solutions.
When the project exist there is lower risk compared to the digital age which is much more substantial with the nature of project needs to be addressed. It's not only instrumental process need a mind set in the digital environment.
Monday, 1 April 2019
Smart way to Industry by IOT Solutions
Profibus and Prominent International(PI UK) and Incase organised session in The Crystal - Siemens Sustainable cities in London
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https://www.youtube.com/watch?v=zOoRTpHho5U&feature=emb_logo The world’s urban population is expected to be multiplied due to raised use...
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The city is utilizing digital twins to build a thermal grid to facilitate heat exchange between buildings and make entire neighborhoods mor...
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Good Session by Raleigh - on Business, Startup and entrepreneurship!! Matthew Jongbloet, Raleigh alumnus who volunteered in Makwanpu...