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Workshop 3: Global 5G industry development and market insights

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Day 3
  —  
3:30 pm

Grand Innovation Challenge

The FORECAST Grand Innovation Challenge 2022 (GIC) is to develop a feasible innovation (prototype/product/concept) that will revolutionize the management, protection, and use of water resources in the Caribbean.

Day 4
  —  
10:00 am

AN ACO-BASED ALGORITHM FOR HETEROGENEOUS COMPUTING ENVIRONMRNTS USING PRIORITY QUEUES

In parallel and distributed computing environments, task scheduling, where the basic idea is minimizing time loss and maximizing performance, is an absolutely critical component. Scheduling in these environments is NP-hard, so it is important that we continue to search and find the most efficient and effective ways of mapping tasks to processors. One such effective approach is known as Ant Colony Optimization (ACO). This popular optimization technique is inspired by the foraging behavior of ants in their colonies to find the shortest paths between their nests and food sources.

Day 2
  —  
3:00 pm

Workshop 2: Become a user and collaborator with BNL and CFN

Brookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The laboratory is open to users from all countries and areas of STEM. The workshop will give an introduction to the capabilities of the laboratory, how to access facilities and collaboration tips for working with BNL scientists.

Day 4
  —  
1:05 pm

A DFT AND EXPERIMENTAL STUDY OF THE HYDROLYTIC DEGRADATION BEHAVIOUR AND SPECTROSCOPIC PROPERTIES OF SOME BENZYLIDENEANILINES

Benzylideneanilines, the condensation products of benzaldehyde and aniline derivatives, have enjoyed significant success as optical metal ion sensors due to their ability to form stable metal complexes which exhibit distinct spectral features compared to the unbound compound. However, their use in aqueous media is limited by the hydrolytic susceptibility of the C=N moiety. Hence, an in-depth investigation into the hydrolytic degradation mechanism of a series of 2-aminophenol derived Nbenzylideneanilines was conducted wherein molecular modelling techniques were applied to elucidate the “step-by-step” transformation mechanism of these compounds from a fundamental perspective.

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