New Releases by Paulo Henrique

A Recurrent Neural Network to Traveling Salesman Problem.

Whatever you may say about Professor Samii, his take on neurosurgery cannot be ignored. In this book readers will find pieces that express the philosophy of the most well-known ''Neurosurgical School''. International experts present Professor Samii''s teaching and philosophy in dealing with the most difficult neurosurgical pathologies as well as future developments. Basic concepts in neurosurgical sciences, modern surgical techniques and cutting-edge technology are presented in detail.

ABSTRACT: The endless necessity for reducing production cycle time while achieving better quality forces metrologists to look for new and improved ways to perform the inspection of the parts being manufactured. The advent of coordinate measuring machines led to a significant boost in accuracy, flexibility and reliability for measurement tasks. However, these machines are in some instances lagging behind machine tools and need improvement. One major problem is the execution of measurements with low uncertainty at a reasonably fast rate to make it possible to measure more parts. This would ensure more reliability in the end product and better information to control the manufacturing process. Coordinate measuring machines with scanning capabilities offer the option to output high data density for parts at high speed. However, they are still considerably less accurate at faster measurement speeds and need to be improved. In this work a scanning measuring machine was extensively tested and a compensation model that accounts for part of the errors occurring during scanning measurement of circular features was proposed.

"This thesis examines the link between airborne flux estimates of CO$ sb2$, sensible heat, and water vapor, and surface parameters retrieved by remote sensing. Chapter 1 analyses the relationship between surface temperature and vegetation indices, obtained from the Advanced Very High Resolution Radiometer on board of NOAA-9 and -10 satellites, and fluxes of sensible heat, latent heat, and CO$ sb2$, estimated from aircraft. Linear relationships between CO$ sb2$ and the Normalized Difference Vegetation Index (NDVI) or the Simple Ratio vegetation index (SR) are found on a daily basis, but a highly nonlinear relationship appears for the seasonal variation. Latent Heat fluxes showed the poorest correlations with surface parameters. A seasonal linear relationship appeared between sensible heat and NDVI. Local extreme flux values due to the intermittency of boundary layer dynamics largely contribute to lower the correlations; such variations are the reason for the difficulties in relating fluxes obtained from single overpasses and over short distances to fixed points at the surface. This problem is further examined in Chapter 2, in which conditional sampling of airborne flux estimates is used to characterize the turbulent structures that are carrying flux, and their link to the surface. The analysis confirms that few extreme events may carry a significant fraction of the flux. Missing or hitting one of these structures may translate into very large oscillations on the flux estimate that are often not directly coupled to surface characteristics. A much clearer surface ''signature'' emerges when measurements are taken within the surface layer, since the reorganization of turbulent structures that takes place with increasing height will result in a merging of the signature that came from different sources at the surface. This helps to explain some of the poor correlations obtained in Chapter 1 and reinforces the need for a better understanding of the distributions of these tu" --