PROBABILITY DISTRIBUTION OVER THE SET OF CLASSES IN ARABIC DIALECT CLASSIFICATION TASK

Subject of Research.We propose an approach for solving machine learning classification problem that uses the information about the probability distribution on the training data class label set. The algorithm is illustrated on a complex natural language processing task - classification of Arabic dialects. Method. Each object in the training set is associated with a probability distribution over the class label set instead of a particular class label. The proposed approach solves the classification problem taking into account the probability distribution over the class label set to improve the quality of the built classifier. Main Results. The suggested approach is illustrated on the automatic Arabic dialects classification example. Mined from the Twitter social network, the analyzed data contain word-marks and belong to the following six Arabic dialects: Saudi, Levantine, Algerian, Egyptian, Iraq, Jordan, and to the modern standard Arabic (MSA). The paper results demonstrate an increase of the quality of the built classifier achieved by taking into account probability distributions over the set of classes. Experiments carried out show that even relatively naive accounting of the probability distributions improves the precision of the classifier from 44% to 67%. Practical Relevance. Our approach and corresponding algorithm could be effectively used in situations when a manual annotation process performed by experts is connected with significant financial and time resources, but it is possible to create a system of heuristic rules. The implementation of the proposed algorithm enables to decrease significantly the data preparation expenses without substantial losses in the precision of the classification

Phase formation and relaxor properties of lead-free perovskite ceramics on the base of sodium-bismuth titanate

The work was supported by the Russian Foundation for Basic Research (Projects 16-53-48009, 17-03-00542)

Solar Concentrating Modules With Louvered Heliostats: Emerging Research and Opportunities

Используемые программы Adobe AcrobatThe development of solar energy is becoming increasingly widespread all over the world. One significant way to reduce the cost of energy generated by solar modules, as well as reduce the need for centralized energy supply, is the use of non-tracking concentrator solar modules integrated into the building structure. As this area of engineering gains interest from all sectors, it is crucial to understand how to increase productivity in order to make solar modules an excellent source of energy.Solar Concentrating Modules With Louvered Heliostats: Emerging Research and Opportunities is an essential publication that formulates a scientifically based approach to the development of non-tracking solar modules with a system of linear louvered heliostats and the selection of the operating mode of the developed modules depending on various requirements of the consumer of thermal or electric energy. The proposed design can solve the problem of the lack of space for placing solar energy facilities in the city, as well asРазвитие солнечной энергетики получает все большее распространение во всем мире. Одним из существенных способов снижения стоимости энергии, вырабатываемой солнечными модулями, а также уменьшения потребности в централизованном энергоснабжении является использование солнечных модулей-концентраторов без слежения, встроенных в конструкцию здания. Поскольку эта область техники вызывает интерес во всех секторах, крайне важно понять, как повысить производительность, чтобы сделать солнечные модули отличным источником энергии. Солнечные концентрирующие модули с жалюзийными гелиостатами: новые исследования и возможности, это важная публикация, в которой сформулирован научно- обоснованный подход к разработке солнечных модулей без слежения с системой линейных жалюзийных гелиостатов и выбору режима работы разработанных модулей в зависимости от различных требований потребителя тепловой или электрической энергии. Предлагаемая конструкция может решить проблему нехватки места для размещения объектов солнечной энергетики в го

Solar concentrating modules with louvered heliostats: emerging research and opportunities Advances in environmental engineering and green technologies (AEEGT) book series./ Dmitry Strebkov, Natalya Filippchenkova, Anatoly Irodionov.

Includes bibliographical references and index."This book explores current trends in the development of energy supply systems associated with the use of concentrated solar radiation"--Section 1. Chapter 1. The overview of basic types and characteristics of solar concentrating modules with louvered heliostats ; Chapter 2. Theoretical bases of the use of solar concentrating modules with louvered heliostats ; Chapter 3. Development of modules with different types of concentrators and receivers of solar radiation ; Chapter 4. Results of an experimental research of a solar concentrating module with louvered heliostats ; Chapter 5. Technical and economic characteristics of solar concentrating modules with louvered heliostats -- Section 2. Chapter 6. Advantages and basic areas of application of solar concentrating modules with louvered heliostats ; Chapter 7. Evaluation of the use of artificial neural networks in solar energy ; Chapter 8. Opportunities and prospects for the implementation of artificial intelligence systems in solar energy.1 online resource