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  2. ElChemo: A Cross-Domain Interoperability in a Chemical Plant Preprint …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-265.pdf
    20 Jan 2021: 7.1 Operational Optimisation. 19. 7.1.1 Case 1. 20. 7.1.2 Case 2. ... 17 Temperature v hasDimension.PhysicalDimension. 18 PhysicalDimension(thermodynamic_temperature). 19 Temperature v ThermodynamicStateProperty. 20 OutletPressure v Pressure.
  3. A Question Answering System for Chemistry

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-266.pdf
    25 Jan 2021: computersincluding automatic discovery, composition, and execution [20, 27, 39]. ... 20. KG with a set of test questions, the query interface demonstrates its capability to answera number of question of various type and structure.
  4. Self-assembly of curved aromatic molecules in nanoparticles

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-267.pdf
    16 Feb 2021: 3.3 How do complex cPAH systems self-assemble? 20. 3.3.1 Particles containing cPAHs and fPAHs. ... A series of heterogeneousclusters each containing 40 molecules of different sizes and proportions (A and B in pro-portions of 30:10, 20:20 and 10:30 are
  5. Semantic City Planning Systems (SCPS): A Literature Review

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-270.pdf
    19 Apr 2021: Biljecki et al. [20], Donkers et al.[46], Hor et al. [74], Konde et al.[88], Tauscher et al.
  6. Semantic 3D City Database – an enabler for a dynamic geospatial…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-273.pdf
    1 Jun 2021: 12 4938ms. 20. Return a list of building function codes found within thegiven boundary. ... 20 concurrent geospatial search queries completed in 1617 ms, increasing overallsystem CPU utilisation by 4% and memory utilisation by 0%.
  7. The World Avatar – a world model for facilitating interoperability

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-277.pdf
    3 Aug 2021: Figure 1 illustrates its main underlying principles. The World Avatar started witha focus on virtualising industrial operations within the Jurong Island Eco-Industrial Park(EIP) in Singapore [11, 19, 20, 31] ... Energy Procedia,75:1536–1541, 2015.
  8. Embedding Energy Storage Systems into a Dynamic Knowledge Graph

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-280.pdf
    8 Sep 2021: By storing excess energy, the adoption of renewable energy sourcescan be accelerated without affecting the reliability of the electrical grid [20, 28]. ... doi:10.1016/j.compchemeng.2018.04.014. [20] J. Liu, C. Hu, A. Kimber, and Z. Wang.
  9. Semantic 3D City Agents – an intelligent automation for Dynamic…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-283.pdf
    8 Nov 2021: recommendations provided by the W3C, andcapable of multi-domain knowledge representation [1, 16–18, 20, 21, 32, 58, 59], whichis being developed as a collaborative research effort between Cambridge Centre for ... 20. actuators. Table 2: City planning
  10. From Platform to Knowledge Graph: Evolution of Laboratory Automation

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-284.pdf
    10 Nov 2021: 19. 4.2 Automated closed-loop optimisation. 20. 4.3 Towards a digital laboratory and beyond. ... 44] and Clayton et al. [20]. The coordinator passes the planner datait requires, then the planner works out the next steps and passes the instruction back to
  11. Defining archetypes of mixed-use developments for improved urban…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-285.pdf
    15 Nov 2021: 11. clustering [20, 27], based on each plot’s GPR and programme count (the total number ofall Google Places in that plot). ... In addition, each individual archetype has a value of GPR. The programme ratioof each archetype (e.g., that archetype 1

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