Abstract: LIDAR, or laser scanning, is capable of collecting accurate 3D coordinates of scanned points densely and sub-randomly distributed on scanned object surfaces. The huge amount of 3D points implies abundant recessive spatial information which can be turned into dominant information through various data processing methods. To explore valuable spatial information from LIDAR data automatica...

it is very important to determine the stable nitrogen isotope ratio for the nitrogenous substances in aerosols and the geochemistry behavior of stable nitrate ion isotopes in aerosols in order to elucidate the chemical and physical functions of clouds. hence, aerosol field sampling was conducted in the skies offshore from malibu beach and santa barbara, california, u.s.a. on 16 and 18 july 2009...

In this paper, we present a new class of volumetric displays that can be used to display 3D objects. The basic approach is to trade off the spatial resolution of a digital projector (or any light engine) to gain resolution in the third dimension. Rather than projecting an image onto a 2D screen, a depth-coded image is projected onto a 3D cloud of passive optical scatterers. The 3D point cloud i...

Three-dimensional fine point cloud has gradually become a key data source of three-dimensional model. The large scale point cloud interactive quick pick up is a kind of important operation in the point cloud data processing and applications. Since the point cloud model is composed of massive points, the speed of ordinary picking method is limited. A GPU-based point cloud picking algorithm was t...

We address the problem of assigning consistently oriented normal vectors to unorganized point cloud with noises, non-uniformities, and thinsharp features as a pre-processing step to surface reconstruction. The conventional orienting scheme using minimal spanning tree fails on points with the above defects. Different from the recently developed consolidation technique, our approach does not modi...

We introduce the Sifted Disk technique for locally resampling a point cloud in order to reduce the number of points. Two neighboring points are removed and we attempt to find a single random point that is sufficient to replace them both. The resampling respects the original sizing function; In that sense it is not a coarsening. The angle and edge length guarantees of a Delaunay triangulation of...

Cloud manufacturing is defined as a relationship between the consumer and a flexible array of production services, managed by an intervening architecture that can match service providers to product and manufacturing processes Cloud manufacturing definitions typically make explicit or imply three groups of actors: consumers, who request and use cloud manufacturing processes; application provider...

The broadly accepted and undisputed economic benefits notwithstanding, cloud computing, and particularly cloud storage, raises many security-related and legal qualms: Every enterprise considering to utilize cloud storage has to deal with compliance and security restrictions. In order to address these, cloud providers offer more and more security mechanisms for their services. At closer inspecti...

First, a hybrid cloud microphysical model was developed that incorporates both Lagrangian and Eulerian frameworks to study quantitatively the effect of cloud condensation nuclei (CCN) on the precipitation of warm clouds. A parcel model and a grid model comprise the cloud model. The condensation growth of CCN in each parcel is estimated in a Lagrangian framework. Changes in cloud droplet size di...