Tetyana Baydyk

Universidad Nacional Autónoma de México | UNAM · Center of Applied Dcience and Technological Development, Department of Information Technology

We have developed several prototypes of solar concentrators that are compact, light, and inexpensive. As an example of solar concentrators, we selected parabolic solar concentrators with plane mirrors that approximate the parabolic surface. The green energy is very important in modern world because of global climate change, which has caused disprop...

The implementation of a random subspace classifier (RSC) neural network for the recognition of bean plants in weeds was proposed. The RSC neural classifier is based on the multilayer perceptron with a single layer of training connections, allowing a high speed training. The input of this classifier can be considered in various modes, for example, h...

The main factors determining the need for the widespread development of the green economy and the growing need for the use of renewable energy sources are identified. The article highlights the possibility of using green energy devices in agricultural complexes and proposes a model for assessing the impact of using solar concentrators together with...

This article describes and analyzes the new feature extraction technique, Random Local Descriptor (RLD), that is used for the Permutation Coding Neural Classifier (PCNC), and compares it with Local Binary Pattern (LBP-based) feature extraction. The paper presents a model of face feature detection using local descriptors, and describes an improvemen...

In this study, we propose a new design for a microchannel filter. The closed indoor environments with which we interact daily are sources of diseases for the respiratory system of human beings. Recommendations for the design of microchannel filters for indoor air purification are proposed, implementing low-cost microequipment technology (MET) for t...

This research demonstrates that Amontons’ laws, which state that the friction force is proportional to the (normal) applied load and is independent of the apparent contact area, begin to break down when the sliding solids have dimensions of several millimetres and loads of tens of millinewtons. The method used to test the hypothesis involved slidin...

Solar energy is one of the most promising types of renewable energy. Flat facet solar concentrators were proposed to decrease the cost of materials needed for production. They used small flat mirrors for approximation of parabolic dish surface. The first prototype of flat facet solar concentrators was made in Australia in 1982. Later various protot...

Alternative energy sources are not new at all, having stood by humans since the beginning of history, either in the form of wind, solar radiation, wood, water, or geothermal energy; however, only a small fraction of their technical and economic potential has been exploited [1]. The first civilizations realized the potential of energy stored in wate...

Solar concentrators with flat mirrors have been developed over a period of several decades. In recent years, we have developed new designs and manufacturing methods for flat facet parabolic dish solar concentrators. In this chapter, we present a survey of several of our designs that currently have patents in the United States, Spain, and Mexico and...

This section discusses an automatic adjustment system for the height of the support elements, arranged in a specific structure to achieve the approximation of a parabolic surface with the triangular mirrors of a solar concentrator. Wood’s 1982 patent [1] describes a triangular, flat-mirror parabolic concentrator that uses screws to adjust the heigh...

Automation of production and assembly processes is one of the important tasks in micromechanics. To produce totally automated micro factory or automate the solar concentrator production and assembly, it is necessary to develop a computer vision system that can replace an operator. A computer vision system may have several functions, for example, re...

Energy, in any of its representations, is a fundamental driving force of the universe and is responsible for life and the occurrence of natural processes at all levels. This feature of energy gives it the status of being the most desired natural resource and it is therefore exploited by all organisms that require it, particularly humans. The concep...

Face recognition is an important security task. We propose a high-level method to solve this problem: a permutation coding neural classifier (PCNC). A PCNC with a special feature extractor for face image recognition systems is a relatively new method that has been tested with good results to classify real environment images (such as larvae of vario...

Currently, Stirling cycle and Rankine cycle heat engines are used to transform the heat energy from solar concentrators into mechanical and electrical energy. The Rankine cycle is used in large-scale solar power plants, and the Stirling cycle can be used for small-scale solar power plants. The Stirling cycle heat engine has many advantages, such as...

Almost all modern solar and wind energy plants can be used only as auxiliary energy sources because of their intermittent character. However, geothermal systems can produce energy continuously. But, geothermal power plants need expensive wells, and wells do not always give high-temperature underground water. It is possible to improve the performanc...

Onsite generation of renewable energy can significantly reduce the environmental impact of a building [1]. Small solar power plants with thermal energy storage can support all the energy demands of residential houses in countries with a hot, arid climate. In countries with a cold climate, such as Canada and Russia, solar energy can still provide a...

After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition. The book will be of interest to re...

The aim of this article is to compare two neural classifiers applied to micro component recognition. These micro components can be used for the automation of production and assembly processes of solar concentrators. The image databases have been developed and include mixed and heaped-up micro work pieces. Two neural classifiers, the limited recepti...

The purpose of this study is to develop and test a recognition system for the Colorado potato beetle. This task is very important for localizing the beetles and reducing the pesticide volume used to protect the harvest. We employ a beetle image dataset that contains 25 images representing different beetle positions and varying numbers of beetles. T...

The article includes a description of research results in the areas of neural networks and image recognition with applications in micro mechanics. The principle objective is to develop a recognition system of edges of micro components for use in measuring sizes of these micro components. In applications of this recognition system in real control sy...

Recently we developed flat facet solar concentrators that have low material cost. Each concentrator contains hundreds of components. To obtain low labor cost it is necessary to develop automated methods of components manufacture and assembly. In this paper we consider the problems of the concentrator manufacture. To make the automation algorithms m...

Neural network is a tool in the solution of control problems. Thanks to their capacity for learning it is possible to train neural networks to recognize different patterns. The patterns involve diverse conditions of operation under which the system must be trained to be able to make the decisions to control the system or process. One of the methods...

The purpose of this work is to develop a recognition system of aerospace images based on neural networks. We used an image database collection of 10 images with different geographic areas, for example, urban zones, forests, etc. We made the texture feature extraction of images. As features we calculate the histogram of brightness and histogram of c...

Computer vision tasks require sometimes a specific illumination. It is difficult to achieve in work environment that can change. This is why the calibration of the parameters must be robust enough to adapt the camera to a changing work environment. We propose to use colors for segmentation of images. A comparison of results on the segmentation of i...

The improper handling and uncontrolled using of the pesticides causes severe damage to the environment and people, although the pesticides produce a public benefit by increased the productivity of the agriculture, allowing controlling the spread of plagues and diseases in the crops. To reduce the application of the pesticides it is necessary to loc...

The task is connected with the micromechanics area. We consider the situation when the control system must obtain information about sizes of the micro objects. The case of study is the micro pistons as object of measurement. The micro pistons are the components of thermal micro motors that transfer the heat energy from solar concentrator to electri...

There are many works dedicated to the representation of the knowledge in artificial intelligence systems. Sometimes it is used databases, sometimes neural networks. It is known that the interaction between neurons is very different for different paradigms of neural networks. For us it is interesting to investigate the neural networks where the neur...