Toward analyzing mutual interference on infrared-enabled depth cameras

Camera setups with multiple devices are a key aspect of ambient monitoring applications. These types of setups can result in data corruption when applied to recent RGB-D camera models because of mutual interference of the infrared light emitters employed by such devices. Consequently, the behavior of such interference must be appropriately evaluated to provide data [...]

A Survey of Sensors in Healthcare Workflow Monitoring

Activities of a clinical staff in healthcare environments must regularly be adapted to new treatment methods, medications, and technologies. This constant evolution requires the monitoring of the workflow, or the sequence of actions from actors involved in a procedure, to ensure quality of medical services. In this context, recent advances in sensing technologies, including Real-time [...]

High-resolution spectroscopy for detecting stratigraphic surfaces and stacking patterns in sedimentary basins

In this research was evaluated the potential of using scores derived from spectral data to detect surfaces and stacking patterns in the sedimentary record, and propose a new method for analyzing spectral data. Spectral field surveys with wavelengths ranging between 2.0 and 2.5 μm were acquired from three well-exposed outcrops in the Neuquén Basin, Argentina. The [...]

Spatial analyzes of HLA data in Rio Grande do Sul, south Brazil: genetic structure and possible correlation with autoimmune diseases

Background HLA genes are the most polymorphic of the human genome and have distinct allelic frequencies in populations of different geographical regions of the world, serving as genetic markers in ancestry studies. In addition, specific HLA alleles may be associated with various autoimmune and infectious diseases. The bone marrow donor registry in Brazil is the [...]

Análise bibliográfica sobre as potencialidades da aquisição de imagens multi e hiperespectrais por VANTs no auxílio à inspeção de obras de arte especiais

As Obras de Arte Especiais (OAEs) surgiram com o intuito de facilitar a mobilidade urbana. Logo, é fundamental a realização de inspeções periódicas e manutenções preventivas, a fim de identificar possíveis manifestações patológicas. Atualmente as técnicas empregadas são baseadas na inspeção visual, na qual a principal dificuldade é a acessibilidade a todos os locais da [...]

A Multioutcrop Sharing and Interpretation System: Exploring 3-D Surface and Subsurface Data

Over the last two decades, rapid technological evolution has brought several advanced solutions for applications in various knowledge areas. Geotechnologies have allowed geoscientists to acquire vast amounts of spatialized digital data, producing equally large data sets. Light detection and ranging (lidar) technology, especially terrestrial laser scanners (TLSs), and the more recent reconstruction techniques that use [...]

Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks

Water quality monitoring through remote sensing with UAVs is best conducted using multispectral sensors; however, these sensors are expensive. We aimed to predict multispectral bands from a low-cost sensor (R, G, B bands) using artificial neural networks (ANN). We studied a lake located on the campus of Unisinos University, Brazil, using a low-cost sensor mounted [...]

An intensity recovery algorithm IRA for minimizing the edge effect of LIDAR data

The terrestrial laser scanner is an equipment developed for surveying applications and is also used for many other purposes due to its ability to acquire 3D data quickly. However, before intensity data can be analyzed, it must be processed in order to minimize the edge or border effect, one of the most serious problems of [...]

An Alternative Method of Spatial Autocorrelation for Chlorophyll Detection in Water Bodies Using Remote Sensing

Additional measures of in situ water quality monitoring in natural environments can be obtained through remote sensing because certain elements in water modify its spectral behavior. One of the indicators of water quality is the presence of algae, and the aim of this study was to propose an alternative method for the quantification of chlorophyll [...]

Least trimmed squares estimator with redundancy constraint for outlier detection in GNSS networks

Global navigation satellite system (GNSS) networks facilitate accurate positioning over short and long distances on the surface of the Earth and expand the range of high-precision measurement. These networks are the basis not only for mapping activities, geoinformation, land registry and other location-based services, but also provide an important role in society as infrastructure works [...]