Computer vision, when used in open and unstructured environments as in the inspection of crops, requires the use of specific vision systems acquiring algorithms prepared for such situations. These algorithms work mainly with images composed of complex objects, textures, shadows and brightness. The present project aims to apply an omnidirectional vision system for mobile robot navigation in agri...

In the paper, two pre-processing methods for load forecast sampling data including multiwavelet transformation and chaotic time series are introduced. In addition, multi neural network for load forecast including BP artificial neural network, RBF neural network and wavelet neural network are introduced, too. Then, a combination load forecasting model for power load based on chaotic time series,...

Syntactic rules in human language usually refer to the hierarchical structure of sentences. However, the input during language acquisition can often be explained equally well with rules based on linear order. The fact that children consistently ignore these linear explanations to instead settle on hierarchical explanations has been used to argue for an innate hierarchical bias in humans. We rev...

Little by little, newspapers are revealing the bright future that Artificial Intelligence (AI) is building. Intelligent machines will help everywhere. However, this bright future has a dark side: a dramatic job market contraction before its unpredictable transformation. Hence, in a near future, large numbers of job seekers will need financial support while catching up with these novel unpredict...

Medical image registration techniques are of particular importance to improve and facilitate working with images of the body interior. The main idea in medical image registration is to find a transformation that maps a source image as close as possible to a target image by determining a corresponding position for each point of the source. To find a mapping between two images that takes anatomic...

There are numerous image and video coding and compression methods available nowadays. Images can be interpreted in several ways by decomposition into basic functions: strokes [8,9], fractals [10], etc. Each of these is natural in some sense. The idea behind paintbrush transformation techniques was to transform an image so that it gives the sensation of a painting, the painting process being a s...

At present, HRSI (High-resolution Satellite Imagery) is more and more widely applied for surveying, land, constructing, production and living field, and it becomes increasingly important to acquire orthophotograph by processing geometric rectification of satellite original images. Less or without GCPs (Ground Control Points) in several parts of area is a puzzled problem for remote sensing image...

Most conventional approaches to integrate range images from plural view points utilize range images obtained under some artificial restrictions set on movement of the target or measurement system by predetermined scheme, so as to skip determining process of mutual position relationship between range images. This paper presents a method for integration of range images obtained from plural view p...

This paper focuses on the adaptation of Automatic Speech Recognition systems using Hybrid models combining Artificial Neural Networks with Hidden Markov Models. A classical adaptation technique consists in adding a linear transformation network that acts as a pre-processor to the main network. We investigated the application of linear transformations not only to the input features, but also to ...

The genetic transformation of certain organisms, required for gene function analysis or complementation, is often not very efficient, especially when dealing with large gene constructs or genomic fragments. We have adapted the natural DNA transfer mechanism from the soil pathogenic bacterium Agrobacterium tumefaciens, to deliver intact large DNA constructs to basidiomycete fungi of the genus Us...