Automated Author ProfileCalvão, Angelo Mondaini
Calvão, Angelo Mondaini
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract Physics is typically introduced to students through kinematics. In general, students learn to solve simple examples, for example, how to find the time of a journey from one position to another one. With the popularization of computer science, it is important to present problems which can be analyzed playfully on the computer. With this objective, through simulations, we study different strategies for the kinematics of a robot that must map a room. The efficiencies of the different strategies were compared by calculating some quantities from the trajectories, such as Convex Hull and Entropy. Comparing these quantities, it is possible to discuss the mapping performed by each one of them.
Authors
- Machado, Gabriel Alves ;
- Calvão, Angelo Mondaini
Abstract Physics is typically introduced to students through kinematics. In general, students learn to solve simple examples, for example, how to find the time of a journey from one position to another one. With the popularization of computer science, it is important to present problems which can be analyzed playfully on the computer. With this objective, through simulations, we study different strategies for the kinematics of a robot that must map a room. The efficiencies of the different strategies were compared by calculating some quantities from the trajectories, such as Convex Hull and Entropy. Comparing these quantities, it is possible to discuss the mapping performed by each one of them.
Authors
- Machado, Gabriel Alves ;
- Calvão, Angelo Mondaini