English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The organizations of international meeting are associated with a variety of complexities and uncertainties. Determining suitable meeting location with high productivity and low costs are problems to be solved. Moreover, participants have to experience the effects of jet lag, which dramatically affect their efficiency in the meeting. Therefore, a MATLAB-based searching algorithm (MSA) is proposed in this study to determine the meeting location for the international meeting. In MSA, two criterions including satisfaction of overall productivity of the meeting and the total costs are set up to choose the suitable cities. Three indexes including time-zone, average temperature and average precipitation are selected to represent the satisfaction of productivity. The total cost of the meeting contains the costs for flight and living. The list of recommended cities can be generated by searching a database established in the algorithm though MATLAB.

MATLAB-based Searching Algorithm for International Meeting Location