89 research outputs found
Desktop Robot Based Rapid Prototyping System: An Advanced Extrusion Based Processing of Biopolymers into 3D Tissue Engineering Scaffolds
SeeChart: Enabling Accessible Visualizations Through Interactive Natural Language Interface For People with Visual Impairments
Web-based data visualizations have become very popular for exploring data and
communicating insights. Newspapers, journals, and reports regularly publish
visualizations to tell compelling stories with data. Unfortunately, most
visualizations are inaccessible to readers with visual impairments. For many
charts on the web, there are no accompanying alternative (alt) texts, and even
if such texts exist they do not adequately describe important insights from
charts. To address the problem, we first interviewed 15 blind users to
understand their challenges and requirements for reading data visualizations.
Based on the insights from these interviews, we developed SeeChart, an
interactive tool that automatically deconstructs charts from web pages and then
converts them to accessible visualizations for blind people by enabling them to
hear the chart summary as well as to interact through data points using the
keyboard. Our evaluation with 14 blind participants suggests the efficacy of
SeeChart in understanding key insights from charts and fulfilling their
information needs while reducing their required time and cognitive burden.Comment: 28 pages, 13 figure
Stock Assessment and Rebuilding of Two Major Shrimp Fisheries (Penaeus monodon and Metapenaeus monoceros) from the Industrial Fishing Zone of Bangladesh
The two economically important shrimp species in Bangladesh are the tiger shrimp, Penaeus monodon, and the brown shrimp, Metapenaeus monoceros. However, a continuous decline in the landing of these species from the industrial trawling made it critical to assess their stock biomass status to explore their response to the present degree of removal. Given the minimum data requirement and robustness, this study employed the depletion-based stock reduction analysis (DB-SRA) to assess these fisheries rigorously. For the industrial fishing zone (beyond the 40 m depth in the EEZ of Bangladesh), the estimated historic mean carrying capacity (K) was 5015 metric tons for the Penaeus monodon and 35,871 metric tons for Metapenaeus monoceros. The estimated overfishing limits (OFL), which were much smaller than the reported catches throughout the time series, indicate the overfishing status of these fisheries. As a result, the estimated biomass for the reference year (B2020) for both species was lower than BMSY, indicating that these fisheries are not producing MSY. Therefore, for the rebuilding and sustainable management of these stocks, this study recommended a catch limit of 100 metric tons for P. monodon and 750 metric tons for M. monoceros for the next ten years from biomass projections
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