Abstract Learning and studying engineering and technology require to understand the concepts and design properly to move ahead. In this work we fix some trajectories that can help to build a road map. The trajectories we propose have a special setup and use a different pattern. There are some examples for trajectories like a person is using a path and moving... Learning and studying engineering and technology require to understand the concepts and design properly to move ahead. In this work we fix some trajectories that can help to build a road map. The trajectories we propose have a special setup and use a different pattern. There are some examples for trajectories like a person is using a path and moving in markets. The movements using trajectories can use some meaningful actions. We in this work use OpenStreetMap data to not only extract the network but also areas that allow for free movement. We will explain how we use the data to the map matching model and explain the use of this method for testing and assessment of user movement. Read More Read Less

Abstract In this work, we use the computing view sheds for terrain analysis. The viewshed’s characteristics may change based on the nature of terrain and the position of the viewpoint. We addressed a new topographic feature, the prickliness, that measures the number of local maxima in a terrain from all possible angles of view. During the evaluation we observed that the... In this work, we use the computing view sheds for terrain analysis. The viewshed’s characteristics may change based on the nature of terrain and the position of the viewpoint. We addressed a new topographic feature, the prickliness, that measures the number of local maxima in a terrain from all possible angles of view. During the evaluation we observed that the prickliness effectively captures the potential of terrains to have high complexity viewsheds. To do the statistical analysis, we prepared and published near-optimal algorithms to compute it for TIN terrains, and efficient approximate algorithms for raster DEMs. During the experimentation process, we found the validation of the usefulness of the prickliness attribute with experiments. Read More Read Less

Abstract The adoption of cloud computing by small and medium businesses generates several different challenges, such as cost management, lack of human and technological resources, and difficulty in managing the cloud environment in an aligned manner, which makes the decision-making process difficult. Business Intelligence (BI) tools are considered decision support systems and can assist in managing cloud resources, but they lack... The adoption of cloud computing by small and medium businesses generates several different challenges, such as cost management, lack of human and technological resources, and difficulty in managing the cloud environment in an aligned manner, which makes the decision-making process difficult. Business Intelligence (BI) tools are considered decision support systems and can assist in managing cloud resources, but they lack validation. An approach with other predictive tools, which validates the results of BI tools, can solve this limitation. This work uses the predictive capabilities of a BI, validated by predictive methods, to create scenarios foreseen for the cloud environment that correlate to information relevant to the business area. The results show that the Grey Forecasting Model (GM) can be used to validate forecasts generated by BI. In addition, it was found that the accuracy of forecasts also improves in certain scenarios. These scenarios address different moments, showing correlations between the cloud environment and the business area, further improving the decision-making process in small and medium-sized companies. Read More Read Less