scholarly journals Experimental Disproof of a Manga Character Construction Model

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 838
Author(s):  
Tetsuya Matsui ◽  
Yukio-Pegio Gunji
Keyword(s):  
Rough Set ◽  
Social Group ◽  
Social Groups ◽  
Mental Image ◽  
Virtual Agents ◽  
Generation Process ◽  
Image Generation ◽  
Induction Method ◽  
Social Images ◽  
Construction Model

In prior works, the impression of elements of virtual agents/manga character and the overall impression of virtual agents/manga character were considered completely symmetric. In this work, we conducted a preliminary experiment to develop a system that creates designs of virtual agents depending on a text. In this experiment, the participants read the text and chose the image of an agent and social group that resembled their mental image. We introduced the lattice derived by the rough set induction method to suggest the model to analyze the mental image. In this model, we constructed the lattice from two interpretations to evaluate the complexity of the mental image generation process. As a result, the lattices derived by social groups and appearance were non-Boolean; however, those derived by two kinds of design features were not non-Boolean. This result shows that the mental appearance and social images cannot be combined voluntarily. This result showed that it is not symmetric between each element of virtual agents/manga character and overall virtual agents/manga character.

Probing Vividness Increment through Imagery Interruption

2003 ◽  
Vol 23 (1) ◽  
pp. 63-78 ◽  
Author(s):  
Amedeo D'Angiulli ◽  
Adam Reeves
Keyword(s):  
Individual Differences ◽  
Visual Experience ◽  
Mental Image ◽  
Full Detail ◽  
Implicit Assumption ◽  
Generation Process ◽  
Image Generation ◽  
Changes Over Time ◽  
Over Time

The purpose of the present study was to trace how visual experience changes over time during mental image generation, by using an interruption paradigm. In one experiment, participants were asked to read the verbal descriptions of eight common objects and imagine these objects. Changes in the quality of the images evoked by the eight stimuli were probed by interrupting the visual mental image generation process at various times from 0 to 1.7 s, and asking participants to rate the vividness of their image at the time of interruption. We found that vividness increased as the time allowed for image generation was augmented. This relationship was consistently detected in half of the participants and for all stimuli. The present findings support the implicit assumption of some current imagery models positing that mental images “improve” over time, and reject the alternative that images are generated in full detail before becoming accessible to consciousness. However, the “incremental” view is unsatisfactory for imagery models which make no (or not enough) room for individual differences.

Towards a computational theory of social groups: A finite set of cognitive primitives for representing any and all social groups in the context of conflict

2021 ◽  
pp. 1-62
Author(s):  
David Pietraszewski
Keyword(s):  
Social Group ◽  
Group Representation ◽  
Social Groups ◽  
Study Groups ◽  
Human Mind ◽  
Computational Theory ◽  
Mistaken Belief ◽  
Finite Set ◽  
The One ◽  
Definition Of

Abstract We don't yet have adequate theories of what the human mind is representing when it represents a social group. Worse still, many people think we do. This mistaken belief is a consequence of the state of play: Until now, researchers have relied on their own intuitions to link up the concept social group on the one hand, and the results of particular studies or models on the other. While necessary, this reliance on intuition has been purchased at considerable cost. When looked at soberly, existing theories of social groups are either (i) literal, but not remotely adequate (such as models built atop economic games), or (ii) simply metaphorical (typically a subsumption or containment metaphor). Intuition is filling in the gaps of an explicit theory. This paper presents a computational theory of what, literally, a group representation is in the context of conflict: it is the assignment of agents to specific roles within a small number of triadic interaction types. This “mental definition” of a group paves the way for a computational theory of social groups—in that it provides a theory of what exactly the information-processing problem of representing and reasoning about a group is. For psychologists, this paper offers a different way to conceptualize and study groups, and suggests that a non-tautological definition of a social group is possible. For cognitive scientists, this paper provides a computational benchmark against which natural and artificial intelligences can be held.

Time budgets of group-housed pigs in relation to social aggression and production

2021 ◽  
Author(s):  
Carly I O’Malley ◽  
Juan P Steibel ◽  
Ronald O Bates ◽  
Catherine W Ernst ◽  
Janice M Siegford
Keyword(s):  
Social Group ◽  
Social Groups ◽  
Social Aggression ◽  
Growing Pigs ◽  
Least Square ◽  
Time Budgets ◽  
Aggressive Behaviors ◽  
Welfare Benefits ◽  
Production Parameters ◽  
Use Of Resources

Abstract Commercial producers house growing pigs by sex and weight to allow for efficient use of resources and provide pigs the welfare benefits of interacting with their conspecifics and more freedom of movement. However, introduction of unfamiliar pigs can cause increased aggression for 24-48 h as pigs establish social relationships. To address this issue, a better understanding of pig behavior is needed. The objectives of this study were to quantify time budgets of pigs following introduction into a new social group and how these changed over time, and to investigate how social aggression influences overall time budgets and production parameters. A total of 257 grow-finish Yorkshire barrows across 20 pens were introduced into new social groups at 10 wk of age (~23 kg) and observed for aggression and time budgets of behavior at 4 periods: immediately after introduction, 3, 6, and 9 wk later. Pigs were observed for duration of total aggression and initiated aggression (s) for 9 h after introduction and for 4 h at 3, 6, and 9 wk later. Time budgets were created by scan-sampling inactive, movement, ingestion, social, and exploration behaviors every 2 min for 4 h in the afternoon and summarizing proportion of time each behavior was performed by period. Least square means of each behavior were compared across time points. Pigs spent most of their time inactive. In general, the greatest change in pig behavior was observed between introduction and wk 3 (P<0.003), with gradual changes throughout the study period as pigs became more inactive (wk 3 vs. wk 6: P=0.209; wk 6 vs. wk 9: P=0.007) and spent less time on other behaviors. Pigs’ non-aggressive behavior and production parameters were compared to aggression using generalized linear mixed models. The time pigs spent on non-aggressive behaviors were negatively related to aggression (P<0.045) with few exceptions. Initiated aggression after introduction was negatively related to loin muscle area (P=0.003). These results show how finishing pigs spend their time in commercial facilities and indicate that behavior continues to change for up to 9 wk after introduction to a new social group. Efforts to reduce chronic levels of aggression should focus on promoting non-aggressive behaviors, such as exploration and movement, after the initial fighting that occurs immediately after introduction has waned and should be implemented for up at 9 wk after introduction into new social groups.

scholarly journals High-dynamic-range imaging for cloud segmentation

2018 ◽  
Vol 11 (4) ◽  
pp. 2041-2049 ◽  
Author(s):  
Soumyabrata Dev ◽  
Florian M. Savoy ◽  
Yee Hui Lee ◽  
Stefan Winkler
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Wide Field ◽  
Single Shot ◽  
Generation Process ◽  
Image Generation ◽  
Large Dynamic Range ◽  
Exposure Fusion ◽  
Wide Field Of View ◽  
High Dynamic

Abstract. Sky–cloud images obtained from ground-based sky cameras are usually captured using a fisheye lens with a wide field of view. However, the sky exhibits a large dynamic range in terms of luminance, more than a conventional camera can capture. It is thus difficult to capture the details of an entire scene with a regular camera in a single shot. In most cases, the circumsolar region is overexposed, and the regions near the horizon are underexposed. This renders cloud segmentation for such images difficult. In this paper, we propose HDRCloudSeg – an effective method for cloud segmentation using high-dynamic-range (HDR) imaging based on multi-exposure fusion. We describe the HDR image generation process and release a new database to the community for benchmarking. Our proposed approach is the first using HDR radiance maps for cloud segmentation and achieves very good results.

Statistical Properties of Social Group Evolution

2011 ◽  
pp. 38-56
Author(s):  
Gergely Palla ◽  
Tamás Vicsek
Keyword(s):  
Social Networks ◽  
Time Evolution ◽  
Social Group ◽  
Social Groups ◽  
Statistical Properties ◽  
Statistical Features ◽  
New Members ◽  
Constant Change ◽  
Group Evolution ◽  
General Statistical

The authors’ focus is on the general statistical features of the time evolution of communities (also called as modules, clusters or cohesive groups) in large social networks. These structural sub-units can correspond to highly connected circles of friends, families, or professional cliques, which are subject to constant change due to the intense fluctuations in the activity and communication patterns of people. The communities can grow by recruiting new members, or contract by loosing members; two (or more) groups may merge into a single community, while a large enough social group can split into several smaller ones; new communities are born and old ones may disappear. According to our results, the time evolution of social groups containing only a few members and larger communities, e.g., institutions show significant differences.

Conclusion

2020 ◽  
pp. 243-247
Author(s):  
James Pickett
Keyword(s):  
Knowledge Base ◽  
Social Group ◽  
Islamic Law ◽  
Social Roles ◽  
Social Groups ◽  
Social Functions ◽  
Regional Networks ◽  
Mix And Match ◽  
Forms Of Knowledge ◽  
Integrated Knowledge

This concluding chapter explains that for all of their eclecticism, and for all their seeming paradoxes, the polymaths of Islam were united by a common madrasa education, mastery of a canon of texts, and shared regional networks. Their curriculum went far beyond the grammar and logic emphasized in the madrasa. Even mastering substantive Islamic law from medieval Arabic texts was necessary, but not sufficient, to distinguish a high Persianate intellectual from his many, many competitors. Most of the ulama — especially those who rose to the top — studied a plethora of collateral disciplines: poetry, mysticism, astronomy, calligraphy, medicine, trade, and more. Secondary scholarship often pairs these forms of knowledge with discrete communities, differentiating scholars, poets, sufis, and physicians into distinct social groups, with the sufi-ulama dichotomy especially pronounced. However, these were not separate groups with separate corporate identities. Rather, they were discrete social roles performed by a single social group. Their integrated knowledge base allowed them to mix and match social functions with impunity.

scholarly journals Participation in social group and wellbeing status of rural women in Oyo State, Nigeria

2020 ◽  
Vol 24 (1) ◽  
pp. 13-23
Author(s):  
Oluwaseun Aderonke Adeleke ◽  
Falilat Shadefunmi Alani
Keyword(s):  
Rural Communities ◽  
Rural Women ◽  
Social Group ◽  
Social Groups ◽  
Sampling Procedure ◽  
Social Functions ◽  
Group Activities ◽  
Group Participation ◽  
Multi Stage

This study examined participation in social group and wellbeing status of rural women in Oyo State. A multi-stage sampling procedure was used to obtain data from 170 rural women who are members of selected social groups. Data were analysed using descriptive and inferential statistics. More than half (54.1%) of the respondents had low level of social group participation. Benefits derived from social group participation were social control ( x̄ = 1.65), access to credits and loans ( x̄ =1.35), security of goods ( x̄ =1.62) and invitation to social functions ( x̄ =1.72). Time ( x̄ =0.64), distance of the meeting venue ( x̄ =0.45) and financial constraint ( x̄ =0.39) were some of the factors that affect social group participation among the women. There was no significant relationship between participation (r = 0.126) in social group and wellbeing status of rural women. Based on these findings, this study has implications for the assessment of social groups in rural communities as they serve as strong platform for dissemination of social and agricultural information. This study therefore recommends that social groups should be well organised by engaging in activities that will improve the quality of life of rural women in all spheres, this will increase their involvement in group activities, improve their wellbeing and ensure rural development.Keywords: Participation, social groups, social security, time, wellbeing

Stereotypes and Prejudice

2019 ◽  
Author(s):  
David Marx ◽  
Sei Jin Ko
Keyword(s):  
Socioeconomic Status ◽  
Sexual Orientation ◽  
Social Group ◽  
Social Issues ◽  
Social Groups ◽  
The Elderly ◽  
Social Judgments ◽  
The Face ◽  
Race Ethnicity ◽  
Antecedents And Consequences

Stereotypes are widely held generalized beliefs about the behaviors and attributes possessed by individuals from certain social groups (e.g., race/ethnicity, sex, age, socioeconomic status, sexual orientation). They are often unchanging even in the face of contradicting information; however, they are fluid in the sense that stereotypic beliefs do not always come to mind or are expressed unless a situation activates the stereotype. Stereotypes generally serve as an underlying justification for prejudice, which is the accompanying feeling (typically negative) toward individuals from a certain social group (e.g., the elderly, Asians, transgender individuals). Many contemporary social issues are rooted in stereotypes and prejudice; thus research in this area has primarily focused on the antecedents and consequences of stereotype and prejudice as well as the ways to minimize the reliance on stereotypes when making social judgments.

A Coverless Image Information Hiding Algorithm Based on Fractal Theory

2020 ◽  
Vol 30 (04) ◽  
pp. 2050062
Author(s):  
Xiang Zhang ◽  
Fei Peng ◽  
Zixing Lin ◽  
Min Long
Keyword(s):  
Information Hiding ◽  
Fractal Theory ◽  
Covert Communication ◽  
Generation Process ◽  
Image Generation ◽  
Generation Algorithm ◽  
Image Information ◽  
Fractal Image ◽  
Coverless Information Hiding ◽  
The Relationship

To improve the robustness and imperceptibility of the existing coverless image information hiding, a generative coverless image information hiding algorithm based on fractal theory is proposed in this paper. Firstly, four fractal image generation methods are analyzed, and the relationship between the coverless information hiding and these methods is discussed. Secondly, based on the fractal image generation algorithm, secret information is hidden by controlling pixel rendering during the generation process. The robustness, imperceptibility, and capability of resisting steganalysis are balanced by adjusting the rendering distance. As it directly generates stego images, this can resist the detection of most existing steganalysis methods. Meanwhile, different capacities can be achieved by adjusting the size of the generated image. Experimental results and analysis show that the proposed scheme can effectively resist steganalysis and has good robustness against various image attacks. Furthermore, it can achieve large capacity, and it has broad prospects for covert communication.

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