“The Department of Biology, Faculty of Science, Chulalongkorn University, and the Global Biodiversity Information Facility (GBIF) cordially invites all to attend “The Asia Regional Engagement meeting and Symposium on Open Science & Data Use” on November 22-23, 2022, from 09.00 – 17.00 hrs. at Room 801, Chaloem Rajakumari 60 Building (Chamchuri 10) Chulalongkorn University. The event aims to demonstrate the benefits brought about by a global open biodiversity data infrastructure such as GBIF to local and regional economies….”
Abstract: Multinational banknote detection in real time environment is the open research problem for the research community. Several studies have been conducted for providing solution for fast and accurate recognition of banknotes, detection of counterfeit banknotes, and identification of damaged banknotes. The State-of art techniques like machine learning (ML) and deep learning (DL) are dominating the traditional methods of digital image processing technique used for banknote classification. The success of the ML or DL projects heavily depends on size and comprehensiveness of dataset used. The available datasets have the following limitations:
1. The size of existing Indian dataset is insufficient to train ML or DL projects , .
2. The existing dataset fail to cover all denomination classes .
3. The existing dataset does not consists of latest denomination .
4. As per the literature survey there is no public open access dataset is available for Thai banknotes.
To overcome all these limitations we have created a total 3000 image dataset of Indian and Thai banknotes which include 2000 images of Indian banknotes and 1000 images of Thai banknotes. Indian banknotes consist of old and new banknotes of 10, 20, 50, 100, 200, 500 and 2000 rupees and Thai banknotes consist of 20, 50, 100, 500 and 1000 Baht.
“What happens when science becomes open? And what drives researchers to publicize scientific articles where they have the result of their work? It is from these two questions that has taken the International survey of scientific authors (Issa), a project devoted to the OECD by Brunella Boselli and Fernando Galindo-Rueda.
A research involving over 6,000 researchers who responded to a questionnaire sent by email at the end of 2014. With the goal of measuring the spread of openness, it is the choice to freely publish research results. And the result is that between 50 and 55% of publications are available in open format within three or four years of publication. A choice, that of open access, widespread in emerging economies.
In Indonesia it is over 90%, in Thailand 80, in Turkey 70%. And even though it is limited to the more mature economies, South Korea is the 66%, followed by Brazil with 64 and Russia with 61. In Italy, however, only 46% of the research is published in open format….”