CompAC publishes mainly original research but also reviews on a variety of aspects from hardware, algorithms, software, networking, data management, modeling and visualization, to high-performance and data intensive computing.
Current urban and district energy management systems lack a common semantic referential for effectively interrelating intelligent sensing, data models and energy models with visualization, analysis and decision support tools.
It has a set of features for data modeling, visualization and interaction.
Many of these students also had participated in a scientific Python (SciPy) workshop: a 2-day intensive workshop on scientific computing in Python that introduces students to portable open source software, including a wide range of tools for doing statistical and data analysis, numerical modeling, and visualization.
The investigations provided experimental data for block scale modeling and visualization analyses on the correlation between gas content and the key factors such as coal properties and geological conditions of the coal reservoir.
Meantime, based on the map and geographic information system (MAPGIS) platform, the software system is also developed for three dimensional (3D) geology modeling and visualization, data inquiring and drawing, stability calculation, displacement forecasting, and real time pre-warning.
In this chapter, we review the available resources for omics data integration from the perspectives of data storage and retrieval resources, mathematical modeling, and visualization tools for the interpretation of integration models.
DaisyViz is based on a user interface model for information (UIMI), which includes three declarative models: data model, visualization model, and control model.
This paper proposes a novel 4D-based method for life cyclic integration, modeling, and visualization of infrastructure data.
