A Study on the Motion Structure Applied to Cosmetic Containers

2021 ◽  
Vol 24 (2) ◽  
pp. 29-37
Author(s):  
Hee Suk Lim ◽  
Jae Wook Shin
Keyword(s):  
Motion Structure

1. The science of softness

2020 ◽  
pp. 1-18
Author(s):  
Tom McLeish
Keyword(s):  
Scientific Community ◽  
Soft Matter ◽  
Soft Materials ◽  
Visionary Leadership ◽  
Slow Dynamics ◽  
Length Scales ◽  
New Science ◽  
Motion Structure

‘The science of softness’ provides a brief history and overview of soft matter science. The development of soft matter science was propelled by a combination of communication within the scientific community; intrinsic conceptual overlap and commonality; and visionary leadership from a small number of pioneering scientists. Chemistry proved as essential an ingredient to the new science of soft matter as ideas and techniques from physics. The characteristics of soft matter include motion; structure on intermediate length scales; slow dynamics; and universality. Microscopy is the most obvious and direct example of experimental tools applied across the gamut of soft materials.

scholarly journals Tari Kreasi Babangsai Babanjaran di Sanggar Labastari Kandangan

2016 ◽  
Vol 1 (1) ◽  
pp. 39
Author(s):  
Mahdiansyah Mahdiansyah
Keyword(s):  
Data Collection ◽  
Field Observations ◽  
Art Gallery ◽  
Early Motion ◽  
Motion Structure ◽  
Survey Results ◽  
Musical Accompaniment ◽  
Male Dancers ◽  
Descriptive Qualitative

AbstractThis study aims to determine the form of presentation of dance creations Babangsai Bakanjaran terms of the motion structure, musical accompaniment, makeup-fashion, property and the venue. The object of research is descriptive qualitative art gallery Labastari Kandangan in Hulu Sungai Selatan, South Kalimantan Province. Data collection techniques using field observations, interviews and documentation. Based on the survey results revealed that the form of presentation of dance creation Babangsai Bakanjaran motion that has a structure of early motion, motion climax and final movements. Musical accompaniment using isntrumen music like saron, a large baboon, baboon small, luma, Sundanese harp, flute and gongs. Character dressing dancers are beautiful women and handsome men. Clothing female dancers use a skirt, dress spangle, headbands, earrings (bunil), while the male dancers fashion model pants, shirt, belt elongation and laung Banjar. The property used is gandang dayak and karimpit. The venue is flexible or can dance anywhere, to the extent where the show is easily accessible to the audience.Keywords: forms of presentation, structure movement, dance creations, babangsai bakanjaran

scholarly journals Structure in motion: visual motion perception as online hierarchical inference

2021 ◽  
Author(s):  
Johannes Bill ◽  
Samuel J Gershman ◽  
Jan Drugowitsch
Keyword(s):  
Visual Information ◽  
Visual Motion ◽  
Expectation Maximization Algorithm ◽  
Human Motion ◽  
Perceptual Task ◽  
Visual Motion Perception ◽  
Motion Structure ◽  
Neural Computations ◽  
Hierarchical Bayesian Inference ◽  
Structure Perception

Identifying the structure of motion relations in the environment is critical for navigation, tracking, prediction, and pursuit. Yet, little is known about the mental and neural computations that allow the visual system to infer this structure online from a volatile stream of visual information. We propose online hierarchical Bayesian inference as a principled solution for how the brain might solve this complex perceptual task. We derive an online Expectation-Maximization algorithm that explains human percepts qualitatively and quantitatively for a diverse set of stimuli, covering classical psychophysics experiments, ambiguous motion scenes, and illusory motion displays. We thereby identify normative explanations for the origin of human motion structure perception and make testable predictions for new psychophysics experiments. The algorithm furthermore affords a neural network implementation which shares properties with motion-sensitive cortical areas and motivates a novel class of experiments to reveal the neural representations of latent structure.

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