Recognition of Visual Patterns

1974 ◽  
Vol 19 (9) ◽  
pp. 645-646
Author(s):  
JAMES F. Juola
Keyword(s):  
Author(s):  
Henrique F. B. Ngan ◽  
Weng Si (Clara) Lei ◽  
Joanne Yu

In today’s buyer-empowered world, it is critical to design event marketing materials in a more effective way to attract potential event goers. Not surprisingly, official event websites and promotional videos have been widely used to allow the potential visitors to pre-experience the events. Yet, whilst acknowledging the power of this technique, the effects of using different media in attracting the visitors remain unclear. Hence, this study analyses the visual patterns of potential event goers towards differing promotional materials as well as how the attentional processes relate to their motivational aspects and visiting intentions. Results indicated that event goers focused more on the center of the screen when it comes to the promotional video; when browsing the website, their attention was attracted mainly by programmes related to dance. In practice, the findings benefit event marketers by providing important directions and implications for the design of the promotional materials.


1980 ◽  
Vol 102 (2) ◽  
pp. 174-182 ◽  
Author(s):  
R. E. Falco

The measurement of coherent motions in turbulent and unsteady flows is discussed. A technique which discriminates these motions based upon the patterns they create by scattering light from a fog of tiny oil drops is described. It is shown that hot-wire anemometry can be used in this oil fog so that hot-wire data can be conditionally sampled to the visual patterns, giving directly interpretable measures of the importance of the selected features. The three-dimensionality of the coherent motions can also be directly accounted for, using mutually orthogonal sheets of light. Results of step flows, and zero and favorable pressure gradient flows are described.


1979 ◽  
Vol 49 (2) ◽  
pp. 343-346 ◽  
Author(s):  
Marcella V. Ridenour

30 boys and 30 girls, 6 yr. old, participated in a study assessing the influence of the visual patterns of moving objects and their respective backgrounds on the prediction of objects' directionality. An apparatus was designed to permit modified spherical objects with interchangeable covers and backgrounds to move in three-dimensional space in three directions at selected speeds. The subject's task was to predict one of three possible directions of an object: the object either moved toward the subject's midline or toward a point 18 in. to the left or right of the midline. The movements of all objects started at the same place which was 19.5 ft. in front of the subject. Prediction time was recorded on 15 trials. Analysis of variance indicated that visual patterns of the moving object did not influence the prediction of the object's directionality. Visual patterns of the background behind the moving object did not influence the prediction of the object's directionality except during the conditions of a light nonpatterned moving object. It was concluded that visual patterns of the background and that of the moving object have a very limited influence on the prediction of direction.


2018 ◽  
Vol 12 (1) ◽  
pp. 43-56
Author(s):  
Sabyasachi Dey ◽  
Santanu Sarkar

AbstractRC4 has attracted many cryptologists due to its simple structure. In [9], Paterson, Poettering and Schuldt reported the results of a large scale computation of RC4 biases. Among the biases reported by them, we try to theoretically analyze a few which show very interesting visual patterns. We first study the bias which relates the key stream byte{z_{i}}with{i-k[0]}, where{k[0]}is the first byte of the secret key. We then present a generalization of the Roos bias. In 1995, Roos observed the bias of initial bytes{S[i]}of the permutation after KSA towards{f_{i}=\sum_{r=1}^{i}r+\sum_{r=0}^{i}K[r]}. Here we study the probability of{S[i]}equaling{f_{y}=\sum_{r=1}^{y}r+\sum_{r=0}^{y}K[r]}for{i\neq y}. Our generalization provides a complete correlation between{z_{i}}and{i-f_{y}}. We also analyze the key-keystream relation{z_{i}=f_{i-1}}which was studied by Maitra and Paul [6] in FSE 2008. We provide more accurate formulas for the probability of both{z_{i}=i-f_{i}}and{z_{i}=f_{i-1}}for differenti’s than the existing works.


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