This study aimed to build a workflow to survey geological planar structure geometries using light detection and ranging technique. The study covered a field survey with the determinations of plane attitude using compass, clinometers, and digital images through light detection and ranging technique. Three methods were used to compute the selected planes into the point [...]
Logistics represent the biggest cost for transportation companies. Companies are investing in monitoring and tracking systems aiming at improving services, reducing costs and ensuring the safety in cargos transports. This article presents an intelligent model to obtain the position of vehicles, using off-the-shelf mobile devices named SWTRACK. The proposal allows distributors companies to track loads [...]
This article aims to present the first ideas for developing a framework for load-balancing called GetLB. Considering the electronic funds transfer (EFT) context, GetLB offers a new scheduling heuristic that optimizes the selection of Processing Machines to execute transactions in a processing center. Instead of using the Round-Robin typical approach, the proposal combines data from [...]
Electronic Funds Transfer represents an upward trend, which fosters the proximity among consumers and suppliers. Each transaction is sent to a Computer Center, in charge of decoding, processing and returning the results as fast as possible. Particularly, the present article covers the GetNet Company day-by-day, focusing on one of their subsystems. In the article, we [...]
he gypsum slurry used in coatings is a construction material that generates many residues. Despite the proven feasibility of recycling, the reduction of waste is still the best way of minimizing the environmental impact. Different technologies have been studied in order to replace its use. However, studies have shown that the losses in construction when [...]
In this article we present an alternative method for extrapolation of Land Surface Temperature (LST) by means of Artificial Neural Networks (ANNs) based on positional variables (UTM coordinates and altitude), temperature and average air relative humidity. The study region was the Rio dos Sinos Hydrographic Basin (RSHB), Rio Grande do Sul, Brazil. For ANN training [...]
The forest sciences as well as other areas of knowledge benefit from technological advances to develop their working methods and increase their knowledge of their specific field of study. New equipment and methods are continually developed to support these applications. In the last decade, laser scanning and profiling systems have been consolidated as one of [...]
Cândido Godói is a small Brazilian town known for high rates of twin birth. In 2011, a genetic study showed that this localized high rate of twin births could be explained by a genetic founder effect. Here we used isonymic analysis and surname distribution to identify population subgroups within 5316 inhabitants and 665 different surnames. [...]
The identification of lithofacies from well is usually an interpretative process based on geophysical logs since core and sidewall samples are not usually available. Despite being always sampled and described, cuttings are useful only as a reference for determining the rocks because a number of problems occur during the drilling and sampling activities. Well logs [...]
Ubiquitous computing aims to make tasks that depend on computing transparent to the users, providing resources and services anytime and anywhere. This paper proposes a computational model to support ubiquitous libraries. The model provides appropriate information and tools to the librarian to maintain resources and services in a library, as well tools that allow offering [...]