Sample of Proposals for Scientific Projects and Technical Proposals Financing and Organizing: 1) Classification of Human and Social Group Behavior, Talents and Geniuses, Typology of Institutions; 2) Artificial Analogs of the Biological Organism Brains and an Interface for Technical Objects Controlling; 3) Controlling of Swarms of Drones (5 – 100+); 4) Controlling of Autonomous Clouds of Drones (1000+)

2020 ◽  
Author(s):  
Anatoliy A. (Anatolii) Shiyan (Shyian) ◽  
Liliya O. Nikiforova
2021 ◽  
Vol 33 (3) ◽  
pp. 556-563
Author(s):  
Emyo Fujioka ◽  
Mika Fukushiro ◽  
Kazusa Ushio ◽  
Kyosuke Kohyama ◽  
Hitoshi Habe ◽  
...  

Echolocating bats perceive the surrounding environment by processing echoes of their ultrasound emissions. Echolocation enables bats to avoid colliding with external objects in complete darkness. In this study, we sought to develop a method for measuring the collective behavior of echolocating bats (Miniopterus fuliginosus) emerging from their roost cave using high-sensitivity stereo-camera recording. First, we developed an experimental system to reconstruct the three-dimensional (3D) flight trajectories of bats emerging from the roost for nightly foraging. Next, we developed a method to automatically track the 3D flight paths of individual bats so that quantitative estimation of the population in proportion to the behavioral classification could be conducted. Because the classification of behavior and the estimation of population size are ecologically important indices, the method established in this study will enable quantitative investigation of how individual bats efficiently leave the roost while avoiding colliding with each other during group movement and how the group behavior of bats changes according to weather and environmental conditions. Such high-precision detection and tracking will contribute to the elucidation of the algorithm of group behavior control in creatures that move in groups together in three dimensions, such as birds.


Author(s):  
Eduard V. Patrakov ◽  
Viktor I. Panov

The article is dedicated to the theoretical study of the process of convergence and integration of the digital and predigital environments. The general and distinctive features of the following concepts: “information society”, “information environment”, “digital environment” in terms of influence on an individual and on a social group are presented. Based on psychological research in various areas, the authors present a classification of stages where the convergence of the digital and pre-digital environment takes place. The concept of “interference” and its application in psychology and the related disciplines is revealed; the authors’ understanding of interference to describe the area of merging and integration of the digital and pre-digital environments is showcased. The results of the research can be of significance in the study of digital environments in both theoretical and empirical research, explaining the digital transformation of the subject.


2019 ◽  
Vol 25 (2) ◽  
pp. 185-188
Author(s):  
Maksim M. Manuilskiy

This book systematizes and analyzes the visual material of “red” and “white” propaganda from the period of the Russian Civil war. Representation of war is considered through the prism of images of its participants, found on posters, cartoons, postcards, leaflets, propaganda porcelain and other visual artifacts of the period. The classification of images is based on the social group affiliation of the depicted characters. Given such an approach, the focus is on representatives of groups — participants of civil confrontation, typical actors, visual clichés of “friends” and “enemies”. The work is carried out using an extensive source base concerning the ideological confrontation of that time, domestic and foreign literature devoted to the visualization of the events taking place then.


2010 ◽  
Vol 25 (2) ◽  
pp. 137-151 ◽  
Author(s):  
Zuhair Khan ◽  
Sirkka L. Jarvenpaa

The coordination of a social event requires a number of time-bounded tasks (exact time, location, activities of the event) to be determined prior to the event. On university campuses, Facebook is increasingly used to organize ad hoc physical gatherings within social groups. The coordination takes place via Facebook event pages and a ‘wall’ that represent online, shared, interactive spaces. This paper explores how such online interactive spaces facilitate the temporal coordination of social events. We content analyze Facebook's event pages and walls to understand how social group behavior is different from prevailing theories of group task progress and media use. The results suggest that, similar to many work groups, social groups exhibit differential interactive behaviors before and after the midpoint of when the event is created on Facebook and when the offline activity is going to happen. However, the results differ in the sense that the interactive behavior is highest before rather than after the midpoint. We also found that the involvement of the creator of the event pages is associated with higher interactive behavior of the social group. We discuss the findings and derive implications for the design of online tools for social event management.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Chuan Zhou ◽  
Suying Gui ◽  
Gaoming Zhang ◽  
Qirui Zhang ◽  
Xudong Wang ◽  
...  

Social group behavior analysis has always been the key research direction of sociologists and psychologists. With the rapid development of the Internet of Things and the proposal of deep learning theory, convolutional neural networks are also used in social group research. In the process of social development, group incidents continue to increase, and there are more and more studies on social group behavior analysis. Although the research content and research methods are also richer, the research that combines the Internet of Things, convolutional neural network, and group behavior is more. This article will specifically propose a social group behavior analysis model that combines multitask learning and convolutional neural networks. This paper deeply learns the research of convolutional neural network and group behavior-related theories, makes full use of the advantages of convolutional neural network algorithm and multitask learning mode, and builds a social group behavior analysis model based on multitask learning and convolutional neural network. The experimental results on different data sets are analyzed. The results show that the accuracy rate of the experimental algorithm of convolutional neural network is as high as 95.10%, and it is better than other algorithms in time complexity, which is very suitable for social group behavior analysis.


2020 ◽  
pp. 33-39
Author(s):  
В. В. Малюк

The article deals with a brief classification of the subjects of criminal offenses committed by criminal communities, which allowed to identify individuals ‒ hosts of operative significant behavior, the classification of which is determined by the practice of ranking them in the criminal hierarchy. During the assessment of persons ‒ hosts of operative significant behavior, the system of their relations in a closed social group is modelled, which is a criminal community (“thief in law” is a subject of increased criminal influence, “person appointed by thief in law” for the period of execution of the order “thief in law” is in the status of a subject of increased criminal influence. It is noted that such approach will help to identify the facts of a person’s commission of criminal acts, as the awareness of operational staff about the criminal characteristics of such persons will allow them to position themselves as subjects of a specific criminal offense.


2021 ◽  
Vol 29 (4) ◽  
pp. 2799-2813
Author(s):  
Innocent Chimezie Chukwulobe ◽  
Zainor Izat Zainal ◽  
Hardev Kaur Jujar Singh ◽  
Mohammad Ewan Awang

This study explores the concept of subaltern and how its meaning has evolved over the years within the broader scope of postcolonial theory. The study shall trace the concept of subaltern from its anthropocentric meaning in Antonio Gramsci’s writings to Ranajit Guha and Gayatri Spivak’s ideological perspectives. We shall also trace its inroad into the ecocritical study in the works of Michael Egan and Sergio Ruiz Cayuela while maintaining its anthropocentric leaning. The study shall further attempt a redefinition of the subaltern concept to accommodate non-humans in the class of the subordinated social group. Bearing in mind the anthropocentric leaning of the concept of the subaltern, which excludes non-human members of the ecology, we shall redefine the term from its previous usage in environmental literary studies and expand it to include non-humans as a subordinated group. The study shall analyse the relationship between humans and non-humans to determine if non-humans are treated as subordinates or worse than subordinated humans. The study shall draw instances from Tanure Ojaide’s The Activist (2006) to justify the classification of non-humans as the ultimate ecological subalterns of the Niger Delta Environment. We shall consider human relationships with non-humans (land, air, water, animals, vegetation, sea lives) to determine their status as subalterns. The crux of the study is basically to expand the scope of the subaltern theory by analysing the environmental despoliation prevalent in the oil-rich Niger Delta environments of Nigeria.


Sign in / Sign up

Export Citation Format

Share Document