scholarly journals Information granule system induced by a perceptual system

2019 ◽  
Author(s):  
Anna Bryniarska
Keyword(s):  
Perceptual System ◽  
Information Granule

The Sophistry of Guidelines: Revisiting Recipes for Color Use in Human-Computer Interface Design

1992 ◽  
Vol 36 (4) ◽  
pp. 418-422 ◽  
Author(s):  
David D. Woods ◽  
Leila Johannesen ◽  
Scott S. Potter
Keyword(s):  
Interface Design ◽  
Perceptual System ◽  
Computer Interface ◽  
Survey Study ◽  
Human Computer Interface ◽  
Alternative Approach ◽  
Common Problems ◽  
Diverse Audience

A survey study of color guidelines for user-computer interface design was undertaken and assessed against relevant knowledge about the human perceptual system. The main problem found is that some guidelines are dissociated from knowledge of how the human perceptual system works in relation to the constraints of the computer as a medium for perception. The guidelines approach, whose goal is to produce straightforward, concise recommendations for a diverse audience, may encourage this situation. Some specific problems and gaps in color guidelines are discussed. An alternative approach based on gearing guidance to the difficulties and common problems faced by designers is sketched.

scholarly journals Refractive disorders in children

2021 ◽  
Vol 70 (1) ◽  
pp. 5-9
Author(s):  
Larisa-Bianca Holhos ◽  
◽  
Mihaela Coroi ◽  
Teodora Holhos ◽  
Ioana Damian ◽  
...  
Keyword(s):  
Public Health ◽  
Motor Skills ◽  
Motor Development ◽  
Public Health Problem ◽  
Severe Form ◽  
Perceptual System ◽  
Refractive Errors ◽  
Visual Dysfunction ◽  
Sensory Motor ◽  
Complex Activities

According to current estimations, globally, there are around 150 million people with an uncorrected refractive disorder, which means 27% of the world’s population. Approximately 1.4 million of these are children and have a milder or more severe form of visual dysfunction secondary to refractive errors. Since 1990, refractive errors are considered to be a public health problem among children and cause visual dysfunction, with a prevalence of up to 43%. Vision maturation occurs in early childhood, when all the senses and motor skills work together to acquire language, first ideas about the environment and all the elements that define the person himself. Sight is a contributory perceptual system for the cognitive, social, sensory-motor development and for the assemblage of information about the environment. In the first years of life, the child increasingly discovers complex activities, requiring the ability to change the eyes fixation in space from one point to another and a normal binocular motility.

scholarly journals Fuzzy Knowledge Distance with Three-Layer Perspectives in Neighborhood System

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jie Yang ◽  
Tian Luo ◽  
Fan Zhao ◽  
Shuai Li ◽  
Wei Zhou
Keyword(s):  
Rough Sets ◽  
Structural Information ◽  
Boundary Region ◽  
Basic Element ◽  
Target Concept ◽  
Information Granule ◽  
Density Peaks ◽  
Neighborhood System ◽  
Neighborhood Rough Sets ◽  
The Difference

Information granule is the basic element in granular computing (GrC), and it can be obtained according to the granulation criterion. In neighborhood rough sets, current uncertainty measures focus on computing the knowledge granulation of single granular space and have two main limitations: (i) neglecting the structural information of boundary regions and (ii) the inability to reflect the difference between neighborhood granular spaces with the same uncertainty for approximating a target concept. Firstly, a fuzziness-based uncertainty measure for neighborhood rough sets is introduced to characterize the structural information of boundary regions. Moreover, from the perspective of distance, based on the idea of density peaks, we present a fuzzy-neighborhood-granule-distance- (FNGD-) based method to discover the relationship between granules in a granular space. Then, to characterize the difference between granular spaces for approximating a target concept, we present the fuzzy neighborhood granular space distance (FNGSD) and fuzzy neighborhood boundary region distance (FNBRD). FNGD, FNGSD, and FNBRD are hierarchically organized from fineness to coarseness according to the semantics of granularity, which provide three-layer perspectives in the neighborhood system.

Haptic Perception of Whole and Partial Extents of Small Objects

2002 ◽  
Vol 46 (26) ◽  
pp. 2193-2196
Author(s):  
Philip Hove ◽  
Alison M. Tollner ◽  
Martina I. Klein ◽  
Michael A. Riley ◽  
Marie-Vee Santana
Keyword(s):  
Human Factors ◽  
Haptic Perception ◽  
Perceptual System ◽  
Small Scale ◽  
Partial Length ◽  
Object Properties ◽  
Touch Perception

Success at using hand-held objects in the absence of vision implies that the haptic perceptual system is capable of registering information that specifies certain properties of the objects, such as object length or orientation. Research has indicated that people are capable of non-visually perceiving a multitude of object properties. Moreover, research has revealed that those haptic perceptions seem to be constrained by an object's distribution of mass (i.e., inertial properties). However, the majority of this research has been done with large hand-held objects. We sought to test if this relation holds with very small objects. We concluded that participants were able to perceive the whole lengths of the small rods and that whole and partial length are perceptually independent. The results lend support to the hypothesis that this form of touch perception (at the small scale) is anchored in the haptic system's sensitivity to the object's resistance to being rotated (i.e., inertia). Human Factors applications of this line of research are discussed.

MD-SPKM: A set pair k-modes clustering algorithm for incomplete categorical matrix data

2021 ◽  
Vol 25 (6) ◽  
pp. 1507-1524
Author(s):  
Chunying Zhang ◽  
Ruiyan Gao ◽  
Jiahao Wang ◽  
Song Chen ◽  
Fengchun Liu ◽  
...  
Keyword(s):  
Measurement Method ◽  
Clustering Algorithm ◽  
Average Distance ◽  
Boundary Region ◽  
Data Sets ◽  
Calculation Formula ◽  
Information Granule ◽  
Clustering Problem ◽  
Definition Of ◽  
Multiple Clusters

In order to solve the clustering problem with incomplete and categorical matrix data sets, and considering the uncertain relationship between samples and clusters, a set pair k-modes clustering algorithm is proposed (MD-SPKM). Firstly, the correlation theory of set pair information granule is introduced into k-modes clustering. By improving the distance formula of traditional k-modes algorithm, a set pair distance measurement method between incomplete matrix samples is defined. Secondly, considering the uncertain relationship between the sample and the cluster, the definition of the intra-cluster average distance and the threshold calculation formula to determine whether the sample belongs to multiple clusters is given, and then the result of set pair clustering is formed, which includes positive region, boundary region and negative region. Finally, through the selected three data sets and four contrast algorithms for experimental evaluation, the experimental results show that the set pair k-modes clustering algorithm can effectively handle incomplete categorical matrix data sets, and has good clustering performance in Accuracy, Recall, ARI and NMI.

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