scholarly journals Object-oriented methods of analyzing the parameters of interaction of speech and music language

2021 ◽  
pp. 29-40
Author(s):  
Elizaveta Stepanets
Keyword(s):  
Music Composition ◽  
Object Oriented ◽  
Broad Sense ◽  
Luciano Berio ◽  
Object Oriented Methods ◽  
Methodological Principles ◽  
The Moment ◽  
Analytical Approaches ◽  
New System

The article considers the methodological principles of analyzing the parameters of interaction of speech and music language in the context of object-oriented methods of Astafiev’s intonation theory, Yavorsky’s concept of music speech, the views on and ideas about the intonation basis of speech of Bonfeld, Medushevsky, Aranovsky and Nazaikinsky, and the new system of interaction of speech and music in the works of Helmut Lachenmann and  Luciano Berio. Music language and speech are the phenomena allowing for various intersections, complementarities and mutual interferences. These factors manifest themselves in various aspects spotlighting particular sides of these parameters characterizing speech and music language. Since there’s no unified methodology for analyzing these parameters at the moment, it is reasonable to study a music composition as a text (in a broad sense) using various methods of analysis. The author suggests considering the parameters of interaction of speech and music language in terms of object-oriented methods. In the works of composers, music and speech have different forms of interaction and, consequently, need to be studied via different analytical approaches. Comprehensive consideration of a piece of music as a text (by means of various approaches) allows considering it as an intercultural universum representing the code of the epoch. Based on the peculiarities of interpretation of voice as an instrument, and speech as music, and the opportunities it gives, the author formulates the classification of creative methods and principles and the system of analysis which can be used in musicology.   

scholarly journals CLASSIFICATION OF CROP-SHELTER COVERAGE BY RGB AERIAL IMAGES: A COMPENDIUM OF EXPERIENCES AND FINDINGS

2010 ◽  
Vol 41 (3) ◽  
pp. 1 ◽  
Author(s):  
Claudia Arcidiacono ◽  
Simona M.C.Porto
Keyword(s):  
Image Processing ◽  
Feature Recognition ◽  
Data Extraction ◽  
Object Oriented ◽  
Aerial Images ◽  
Basic Knowledge ◽  
Computational Time ◽  
Object Oriented Methods ◽  
Definition Of

Image processing is a powerful tool apt to perform selective data extraction from high-content images. In agricultural studies, image processing has been applied to different scopes, among them the classification of crop shelters has been recently considered especially in areas where there is a lack of public control in the building activity. The application of image processing to crop-shelter feature recognition make it possible to automatically produce thematic maps that constitute a basic knowledge for local authorities to cope with environmental problems and for technicians to be used in their planning activity. This paper reviews the authors’ experience in the definition of methodologies, based on the main image processing methods, for crop-shelter feature extraction from aerial digital images. Some experiences of pixel-based and object-oriented methods are described and discussed. The results show that the methodology based on object-oriented methods improves crop-shelter classification and reduces computational time, compared to pixel-based methodologies.

Improving management as a way to increase labour productivity

Upravlenie ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 24-30
Author(s):  
A. O. Ivanov
Keyword(s):  
Productivity Growth ◽  
Labour Productivity ◽  
Production Costs ◽  
Managerial Practices ◽  
Industrial Enterprises ◽  
Labour Productivity Growth ◽  
Period 2 ◽  
Main Factors ◽  
The Moment

The article gives an overview, performs analysis and classification of successful managerial practices applied at Russian industrial enterprises in the framework of the national project “Labour productivity and employment support”. The paper emphasizes the main factors of labour productivity growth as follows: investment policy, growth of human capital, and efficient use of managerial capital of enterprise. In order to determine the need of enterprises to increase labour productivity, the author proposes four universal criteria that signal the existing inefficiency even before the loss of competitiveness: 1) the dynamics of labour productivity in the company is not positive during a given period; 2) the company is behind competitors by labour productivity indicator; 3) the company is behind competitors by labour productivity growth rates indicator for a certain period; 4) unit production costs rise. These criteria allow you to take into account the situation both within the enterprise and in comparison with other enterprises. Each criteria can be considered separately or in combination with the others, applied to enterprises of different industries, specialization, and scale. Criteria indicate the direction of development in which the company is experiencing difficulties at the moment, or may experience them in the future.

Formal object-oriented methods in communication standards

1992 ◽  
Vol 3 (2) ◽  
pp. 7-8 ◽  
Author(s):  
Elspeth Cusack ◽  
Gregor von Bochmann
Keyword(s):  
Object Oriented ◽  
Object Oriented Methods

DEVELOPMENT OF AN ALGORITHM FOR FINDING ANOMALIES IN WEATHER REPORTS TO IMPROVE THE QUALITY OF FORECASTS

2021 ◽  
pp. 45-52
Author(s):  
K. G. Yashchenkov ◽  
K. S. Dymko ◽  
N. O. Ukhanov ◽  
A. V. Khnykin
Keyword(s):  
Optimal Method ◽  
Implementation Processes ◽  
Advantages And Disadvantages ◽  
Message Exchange ◽  
Text Information ◽  
Preliminary Preparation ◽  
Using Data ◽  
The Moment

The issues of using data analysis methods to find and correct errors in the reports issued by meteorologists are considered. The features of processing various types of meteorological messages are studied. The advantages and disadvantages of existing methods of classification of text information are considered. The classification methods are compared in order to identify the optimal method that will be used in the developed algorithm for analyzing meteorological messages. The prospects of using each of the methods in the developed algorithm are described. An algorithm for processing the source data is proposed, which consists in using syntactic and logical analysis to preclean the data from various kinds of noise and determine format errors for each type of message. After preliminary preparation the classification method correlates the received set of message characteristics with the previously trained model to determine the error of the current weather report and output the corresponding message to the operator in real time. The software tools used in the algorithm development and implementation processes are described. A complete description of the process of processing a meteorological message is presented from the moment when the message is entered in a text editor until the message is sent to the international weather message exchange service. The developed software is demonstrated, in which the proposed algorithm is implemented, which allows to improve the quality of messages and, as a result, the quality of meteorological forecasts. The results of the implementation of the new algorithm are described by comparing the number of messages containing various types of errors before the implementation of the algorithm and after the implementation.

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