scholarly journals Trip attraction model of selected zones in Baghdad city

2021 ◽  
Vol 1973 (1) ◽  
pp. 012235
Author(s):  
N H Majeed ◽  
G J Qasim
Keyword(s):  
Attraction Model

Context-aware Item Attraction Model for Session-based Recommendation

2021 ◽  
pp. 114834
Author(s):  
Chaoqun Feng ◽  
Chongyang Shi ◽  
Chuanming Liu ◽  
Qi Zhang ◽  
Shufeng Hao ◽  
...  
Keyword(s):  
Context Aware ◽  
Attraction Model

Some Properties of a Stochastic Attraction Model

1972 ◽  
pp. 39-55 ◽  
Author(s):  
ROBERT McGINNIS ◽  
NEIL W. HENRY
Keyword(s):  
Attraction Model

Modeling Tonal Tension

2007 ◽  
Vol 24 (4) ◽  
pp. 329-366 ◽  
Author(s):  
Fred Lerdahl ◽  
Carol L. Krumhansl
Keyword(s):  
Tonal Music ◽  
Space Model ◽  
Attraction Model ◽  
Cognitive Principles ◽  
Data Point ◽  
Pitch Space

THIS STUDY PRESENTS AND TESTS a theory of tonal tension (Lerdahl, 2001). The model has four components: prolongational structure, a pitch-space model, a surfacetension model, and an attraction model. These components combine to predict the rise and fall in tension in the course of listening to a tonal passage or piece. We first apply the theory to predict tension patterns in Classical diatonic music and then extend the theory to chromatic tonal music. In the experimental tasks, listeners record their experience of tension for the excerpts. Comparisons between predictions and data point to alternative analyses within the constraints of the theory. We conclude with a discussion of the underlying perceptual and cognitive principles engaged by the theory's components.

Optimization of bike-sharing parking spot layout based on usage requirements

2020 ◽  
Vol 11 (01) ◽  
pp. 2050007
Author(s):  
Di Sun ◽  
Jin Zhou ◽  
Furong Wan ◽  
Zhiqiang Sun ◽  
Xueying Gao
Keyword(s):  
Location Model ◽  
Location Optimization ◽  
Parking Spot ◽  
Shortest Distance ◽  
Bike Sharing ◽  
Attraction Model ◽  
Parking Demand ◽  
Optimal Quantity

In this paper, two problems that exist in parking spot layout of bike-sharing which need to be solved are addressed. One is the size of parking spot, while another is the location of parking spot. First, the generation and attraction model of traffic travel is used to predict the usage requirements of bike-sharing, to acquire the parking requirements of bike-sharing. Then, we establish the best station spacing model to calculate the optimal quantity of parking spots. Moreover, the method of shortest distance clustering is applied to cluster the parking demand spots. Finally, the location optimization of bike-sharing parking spot is carried out by using gravity location model. In summary, the layout of bike-sharing parking spot is finished based on the abovementioned four steps.

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