Visualization of the Stress-Strain State of Shell Structures Using Virtual and Augmented Reality Technologies

The paper describes a mathematical model of changes in the geometry of thin-shell structures for visualization of the analysis data on their stress-strain state (SSS). Based on this mathematical model, a visualization module for shell SSS visualization using VR and AR technologies was developed. The interactive visualization environment Unity 2019.3 and C# programming language were used. The interactive visualization module makes a 3D image of a shell structure and visualizes the SSS either through heat maps over the shell or through the changes in the shell geometry on the basis of the shell type, its geometric characteristics, and SSS analysis data (transferred to the visualization module by means of a JSON file). While working on the visualization module, the authors developed a system of components that makes it possible to visualize any 3D surface with coordinate axes (including numbers with a pitch determined automatically), visualize heat maps with a graduated scale, visualize a mesh over the graph to improve the perception of the surface deformations. The middle surface can also be deformed on the basis of SSS analysis data. This solution increases the efficiency of the work of specialists in civil engineering and architecture and can be used when training specialists in courses on thin-shell structures and procedural geometry.

BBrowser: Making single-cell data easily accessible

BBrowser is a software solution that helps scientists effectively analyze single-cell omics data. It combines big data with big computation and modern data visualization to create a unique platform where scientists can interact and obtain important biological insights from the massive amounts of single-cell data. BBrowser has three main components: a curated single-cell database, a big-data analytics layer, and a data visualization module. BBrowser is available for download at: https://bioturing.com/bbrowser/download.

The Assessment and Mapping of Urban Visual Pollution through an Assembly of Open Source Geospatial Tools

Urban surroundings and spaces are losing their identity due to the flooded visual pollution in the urban panorama of already densely populated cities in developing countries. Quantitative assessment of visual pollution and its spatial mapping; both are very recent and relatively un-explored branches of urban studies. The diversity of visual pollution objects (VPOs) and their traits, the subjectivity of observers, the scale of urban space and dependency on subjective variables has been key challenges for quantification during visual pollution assessment. The researcher has previously developed a paper-based score-card type visual pollution assessment (VPA) tool using Analytical Hierarchy Process (under publication) to address these issues. However, considering the challenges associated with the deployment of paper-based tool for VPA (inability to handle variety of data types i.e. text, numeric, geolocation, images etc.), the natural progression has been the development of a mobile-based solution which matches the fast-growing mobile penetration rate of urban centers and provides a turn-key solution to achieve efficiency and effectiveness in primary data collection. On the other hand, academic research on the spatial mapping of visual pollution has slightly progressed to explore its cartographic dimension. This research presents a spatial decision support system comprising of a combination of open source tools to collect, store and present visual pollution assessment data for any urban space of any scale. The system employs Open Data Kit (ODK) to build its mobilebased VPA tool which can be used to collect VPO attributes using any android device. The collected data is streamed to a web-based data management module of the system in real time which is built upon ODK Aggregate and PostgreSQL. Furthermore, the web-based visualization module of the system is built upon some other major open source tools including OpenGeo Suite and PHP. The visualization module presents the results of visual pollution index (VPI) in the form of a web-based dashboard containing real-time choropleth maps which can be filtered for any specific VPO.This research demonstrates the strengths of open geospatial tools to solve challenges of primary data collection on a diverse range of VPOs along with the systematic capturing of their spatial location and visual images. Furthermore, it proves the ability of open source web mapping tools to display visual pollution assessments in most appropriate cartographic representation.

Visualisasi Berbasis Web Indeks Aksesibilitas Fasilitas Kesehatan di Kota Bogor

Bogor City has health facilities about 19 hospitals, 24 puskesmas, and 94 clinics. Accessing health facilities need some consideration such as distance or accessibility to the health facilities. The objective of the research is to determine and present accessibility index to the health facilities. Accessibility/Remoteness Index of Australia (ARIA) method is chosen to calculate and classify the accessibility index of health facilities in Bogor City. There are several steps to do such as making basic map, calculating and classifiying accessibility index, then developing visualization module. Web-based visualisation modul is developed by OpenGeo suite technology. Accessibility index calculation is held in an area (grid and kelurahan) to the health facilities (hospitals, puskesmas, clinics). The results obtained 2.27% grid and 8.46 % villages in Bogor City has low level access to all health facilities. From the visualization showed that Mulyaharja village is an area which have the lowest accessibility index in Bogor City.