The Path Planning Method for AUV Group Moving in Environment with Obstacles

2020 ◽  
Vol 21 (6) ◽  
pp. 356-365
Author(s):  
V. F. Filaretov ◽  
D. A. Yukhimets
Keyword(s):  
Mathematical Modeling ◽  
Path Planning ◽  
Acoustic Communication ◽  
Data Exchange ◽  
Additional Data ◽  
Communication Channels ◽  
Planning Method ◽  
Current Position ◽  
Precision Control

The new path planning method for AUV group moved in the " leader-followers" mode in a desired formation in an unknown environment with obstacles is proposed in paper. In this case one AUV plays role of AUV-leader, which has information about the mission and plans a safe trajectory of its movement, depending on its purpose and detected obstacles. AUV-followers must move behind the leader, in accordance with their assigned place in formation, using information about the current position of the leader, received via acoustic communication channels, and information about their distances to obstacles, detected by their onboard rangefinders. Due to the low bandwidth of acoustic communication channels, there is a problem of matching the position of the AUV-followers during obstacles avoidance. It is necessary to avoid collisions between AUV of group. This problem is solved by means of the preliminary forming for each follower of the only possible trajectory of movement inside formation which will provide it safe movement relatively other followers when this AUVfollower moves around detected obstacle. This approach allows do not coordinate the current position of the AUV-followers relative to other AUV of group if a high-precision control system is used, and as a result it does not require additional data exchange between the AUV group. In this paper, an approach to the forming of AUV-follower trajectories inside AUV formation and the method of forming the desired position of the AUV-followers on these trajectories are proposed. The effectiveness of the proposed method is confirmed by the results of mathematical modeling.

Technique of scientific and technical forecasting using neural networks

2018 ◽  
pp. 103-110
Author(s):  
V. V. Nefedev
Keyword(s):  
Mathematical Modeling ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Original Method ◽  
Forecasting Methods ◽  
Expert Assessments ◽  
Artificial Neural

For the definition and implementation of breakthrough technologies the most important is the role of scientific and technical forecasting. Well-known forecasting methods based on extrapolation, expert assessments and mathematical modeling are not universal and have a number of significant disadvantages. The article proposes an original method of scientific and technical forecasting based on the use of the methodology of artificial neural networks. 

Wireless technologies data exchange for the interaction of a group of mobile robots

2016 ◽  
Vol 11 (1) ◽  
pp. 16-19
Author(s):  
A.Yu. Alekseev
Keyword(s):  
Radio Frequency ◽  
Mobile Robots ◽  
Data Exchange ◽  
Communication Channels ◽  
Wireless Technologies ◽  
Physical Implementation

The article is formulation of the problem of interaction of mobile robots according to the existing wireless technologies. Provides the features of optical and radio frequency communication channels. The conclusion about the necessity of physical implementation of MANET for communication of a team of mobile robots among themselves.

scholarly journals A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration

Epidemiologia ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 315-324
Author(s):  
Juan M. Banda ◽  
Ramya Tekumalla ◽  
Guanyu Wang ◽  
Jingyuan Yu ◽  
Tuo Liu ◽  
...  
Keyword(s):  
Large Scale ◽  
Social Dynamics ◽  
Additional Data ◽  
Open Data ◽  
Data Sources ◽  
Research Projects ◽  
Research Groups ◽  
The World ◽  
Data Source

As the COVID-19 pandemic continues to spread worldwide, an unprecedented amount of open data is being generated for medical, genetics, and epidemiological research. The unparalleled rate at which many research groups around the world are releasing data and publications on the ongoing pandemic is allowing other scientists to learn from local experiences and data generated on the front lines of the COVID-19 pandemic. However, there is a need to integrate additional data sources that map and measure the role of social dynamics of such a unique worldwide event in biomedical, biological, and epidemiological analyses. For this purpose, we present a large-scale curated dataset of over 1.12 billion tweets, growing daily, related to COVID-19 chatter generated from 1 January 2020 to 27 June 2021 at the time of writing. This data source provides a freely available additional data source for researchers worldwide to conduct a wide and diverse number of research projects, such as epidemiological analyses, emotional and mental responses to social distancing measures, the identification of sources of misinformation, stratified measurement of sentiment towards the pandemic in near real time, among many others.

scholarly journals The Effect of Using Social Media in the Modern Marketing Communication on the Shaping an External Employer’s Image

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4177
Author(s):  
Agnieszka Izabela Baruk ◽  
Grzegorz Wesołowski
Keyword(s):  
World Literature ◽  
Statistical Tests ◽  
Empirical Studies ◽  
Communication Channels ◽  
Primary Data ◽  
Survey Method ◽  
Marketing Communication ◽  
Chi Square ◽  
The Impact

The aim of this article was to determine the significance of modern marketing communication channels used in the process of shaping the external image of an enterprise as an employer. An analysis of the world literature on marketing, management, marketing communication and human resource management was used to prepare the theoretical part. The results of the analysis indicate a cognitive and research gap regarding the use of modern communication channels for building the external image of an enterprise in the role of an employer. In order to reduce the gap, empirical studies were conducted among young Polish potential employees, in which the survey method was used to gather primary data. The collected data were subjected to statistical analysis, during which the following methods and statistical tests were applied: the analysis of average values, exploratory factor analysis, Kruskal–Wallis test (KW), Pearson chi-square independence test and V-Cramer coefficient analysis. The results of the analyses conducted indicate, inter alia, that statistically significant diversity was identified in the case of non-professional media in terms of respondents’ opinions on whether the employer’s image created by modern media is better than the employer’s image created on the basis of classical marketing communication channels. In the case of professional and non-professional media, the age of the respondents was not a differentiating feature. Moreover, neither for professional media nor for non-professional media were statistically significant dependencies identified between respondents’ opinions on the impact of actions undertaken by enterprises on shaping their positive external image as an employer and respondents’ opinions on whether the employer’s image created on the basis of modern marketing communication channels is more beneficial than the employer’s image created on the basis of classical marketing communication channels. The results obtained on the basis of the research have a cognitive and applicability value, characterized by originality. Until now, the importance of using modern marketing communication channels in shaping the employer’s external image has not been analysed. This also applies to enterprises operating on the energy market.

scholarly journals Statistical Speech Segmentation in Tone Languages: The Role of Lexical Tones

2017 ◽  
Vol 61 (1) ◽  
pp. 84-96 ◽  
Author(s):  
David M. Gómez ◽  
Peggy Mok ◽  
Mikhail Ordin ◽  
Jacques Mehler ◽  
Marina Nespor
Keyword(s):  
Speech Processing ◽  
Additional Data ◽  
Native Speakers ◽  
Speech Segmentation ◽  
Lexical Tones ◽  
Tone Languages ◽  
Transitional Probabilities ◽  
Lexical Processes

Research has demonstrated distinct roles for consonants and vowels in speech processing. For example, consonants have been shown to support lexical processes, such as the segmentation of speech based on transitional probabilities (TPs), more effectively than vowels. Theory and data so far, however, have considered only non-tone languages, that is to say, languages that lack contrastive lexical tones. In the present work, we provide a first investigation of the role of consonants and vowels in statistical speech segmentation by native speakers of Cantonese, as well as assessing how tones modulate the processing of vowels. Results show that Cantonese speakers are unable to use statistical cues carried by consonants for segmentation, but they can use cues carried by vowels. This difference becomes more evident when considering tone-bearing vowels. Additional data from speakers of Russian and Mandarin suggest that the ability of Cantonese speakers to segment streams with statistical cues carried by tone-bearing vowels extends to other tone languages, but is much reduced in speakers of non-tone languages.

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