Efficient Hausdorff Distance Calculation Algorithm Based on Z-Order and Octree

2018 ◽  
Vol 30 (10) ◽  
pp. 1794
Author(s):  
Dejun Zhang ◽  
Fazhi He ◽  
Long Tian ◽  
Zhuyang Xie ◽  
Lu Zou
Keyword(s):  
Hausdorff Distance ◽  
Calculation Algorithm ◽  
Distance Calculation

An incremental Hausdorff distance calculation algorithm

2011 ◽  
Vol 4 (8) ◽  
pp. 506-517 ◽  
Author(s):  
Sarana Nutanong ◽  
Edwin H. Jacox ◽  
Hanan Samet
Keyword(s):  
Hausdorff Distance ◽  
Calculation Algorithm ◽  
Distance Calculation

Research on Recommendation System Selection Based on Fuzzy VIKOR with Multiple Distances

2014 ◽  
Vol 598 ◽  
pp. 481-485 ◽  
Author(s):  
Bao Wen Sun ◽  
Ming Li ◽  
Wei Zhang
Keyword(s):  
Hausdorff Distance ◽  
Euclidean Distance ◽  
Recommendation System ◽  
Hamming Distance ◽  
Evaluation Criteria ◽  
Calculation Methods ◽  
Distance Calculation ◽  
Fuzzy Vikor ◽  
Mcdm Method ◽  
System Selection

Nowadays, there are several different kinds of methodology in selecting recommendation systems (CRS), and every method has its own evaluation criteria to pick up the best one. In this paper, a new MCDM method for recommendation system selection based on fuzzy VIKOR with multiple distances is introduced. It selects the best system by calculating values using three different distance calculation methods, which are Hamming distance, Euclidean distance and Hausdorff distance, and voting via Condorcet method. It minimizes the effect of distance and offers a more objective result than other methods and helps enterprises to select the most suitable recommendation system.

Research of the Distance Calculation Algorithm Based on RSSI

2012 ◽  
Vol 499 ◽  
pp. 464-468
Author(s):  
Ke Shan Chen ◽  
Zhi Hong Xu ◽  
Lin Yang Gong
Keyword(s):  
Path Loss ◽  
Theoretical Data ◽  
Propagation Path ◽  
Calibration Model ◽  
Signal Attenuation ◽  
Time Data ◽  
Calculation Algorithm ◽  
Distance Calculation ◽  
Wireless Module ◽  
The Relationship

In this paper, we present an algorithm about distance calculation based on RSSI of RF. To calculate value of RSSI according to the classic model of signal attenuation, Radio propagation path loss model and formula of received signal strength, establish the relationship chart between the distance and RSSI value. And through the wireless module CC2430 of ETC system for real-time data collection. Compared with the theoretical data and the measured data. Do the correction through calibration model. Resulting more perfect algorithm about distance calculation.

Abstract #300 Evaluation of the Accuracy of an Implantable CGM System with an Updated Glucose Calculation Algorithm

2019 ◽  
Vol 25 ◽  
pp. 125
Author(s):  
Mark Christiansen ◽  
Timothy Bailey ◽  
Leslie Klaff ◽  
Ron Brazg ◽  
Anna Chang ◽  
...  
Keyword(s):  
Calculation Algorithm

Methodology of Calculation the Terminal Settling Velocity Distribution of Irregular Particles for High Values of the Reynold’s Number/Metodologia Wyliczania Rozkładu Granicznej Prędkości Opadania Ziaren Nieregularnych Dla Wysokich Wartości Liczb Reynoldsa

2014 ◽  
Vol 59 (2) ◽  
pp. 553-562 ◽  
Author(s):  
Agnieszka Surowiak ◽  
Marian Brożek
Keyword(s):  
Velocity Distribution ◽  
Settling Velocity ◽  
Random Variables ◽  
Independent Random Variables ◽  
Calculation Algorithm ◽  
Shape Coefficient ◽  
Geometrical Properties ◽  
Size And Shape ◽  
Physical Density ◽  
Settling Velocity Distribution

Abstract Settling velocity of particles, which is the main parameter of jig separation, is affected by physical (density) and the geometrical properties (size and shape) of particles. The authors worked out a calculation algorithm of particles settling velocity distribution for irregular particles assuming that the density of particles, their size and shape constitute independent random variables of fixed distributions. Applying theorems of probability, concerning distributions function of random variables, the authors present general formula of probability density function of settling velocity irregular particles for the turbulent motion. The distributions of settling velocity of irregular particles were calculated utilizing industrial sample. The measurements were executed and the histograms of distributions of volume and dynamic shape coefficient, were drawn. The separation accuracy was measured by the change of process imperfection of irregular particles in relation to spherical ones, resulting from the distribution of particles settling velocity.

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