TAAC'2013: Section "Artificial Intelligence"

The article describes an embedded Ukrainian synthesis approach based on speech concatenation. This approach adopts phonetic sub-words as carrier of variable-length units. Is presented scheme of algorithm of synthesis based on concatenation of variable-length units of audio signal. Is defined three classes of units to cover the set of Ukrainian words and is presented mathematical model based on this 3-class units.

This paper is dedicated to everyone who is interested in the Artificial Intelligence. In the past, researchers have explored behavior of chromosomes, birds, fishes, ants, bacteria, bees and so on to create excellent optimization methods for solving complex optimization problems. The author proposed the Human Optimization in this paper. Humans progressed like anything. They help each other. There are so many plus points in Humans. In fact all optimization algorithms based on other beings are created by Humans. There is so much to explore in behavior of Human for creating awesome optimization algorithms. Artificial Fishes, birds, ants, bees etc have solved optimization problems. Similarly, optimization method based on Humans is expected to solve complex problems. This paper sets the trend for all optimization algorithms that come in future based on Humans.

This paper includes an application of the four rotor unmanned aerial vehicle named as quadrocopter. In this application, determination of the vehicle density is aimed in the desired area. For this aim, first of all a quadrocopter has been designed. After the obtaining stable flight, it has autonomously been used at desired area and altitude for transformation of the video signals. The signals are transmitted to ground computer and processed using MATLAB program. The processing includes two steps on transformation of the video signal from RGM form to black and white form. This paper differs from the similar studies in terms of some points which are application area, the antenna systems, signal processing methods, and so on. Successful results of this study form a basis for the future planned study on determination of the live intensity.

The idea of subpixel feature detection is widely used in image processing area in these days and it has a high significance in many practical applications. This paper deals with impact of subpixel paradigm on accuracy of 3D coordinates determination using information related to corresponding 2D image pairs. In the other worlds, there is a study how the subpixel corner points detection could influence the accuracy of 3D reconstruction. For that reason our work contains this comparison for image pairs having various mutual position and resolution using data from given datasets. This contribution could answer the question if the paradigm of subpixel detection could be useful in VSLAM methods and other practical tasks where the precision is a key.