Computer Algorithm for Routing Oversized Trucks

1973 ◽  
Vol 99 (1) ◽  
pp. 151-166
Author(s):  
Shiva K. Pant ◽  
Frederick J. Wegmann
Keyword(s):  
Computer Algorithm

237 Feasibility of a Computer Algorithm for Detection of Early Barrett's Neoplasia Using Volumetric Laser Endomicroscopy

2016 ◽  
Vol 150 (4) ◽  
pp. S56 ◽  
Author(s):  
Anne-Fré Swager ◽  
Fons van der Sommen ◽  
Sveta Zinger ◽  
Sybren L. Meijer ◽  
Erik J. Schoon ◽  
...  
Keyword(s):  
Computer Algorithm

MINIMAL KNOTTING NUMBERS

2009 ◽  
Vol 18 (08) ◽  
pp. 1159-1173 ◽  
Author(s):  
CASEY MANN ◽  
JENNIFER MCLOUD-MANN ◽  
RAMONA RANALLI ◽  
NATHAN SMITH ◽  
BENJAMIN MCCARTY
Keyword(s):  
The Body ◽  
Computer Algorithm ◽  
Face Centered Cubic ◽  
Body Centered Cubic ◽  
Cubic Lattice ◽  
The Face ◽  
Face Centered ◽  
Body Centered Cubic Lattice

This article concerns the minimal knotting number for several types of lattices, including the face-centered cubic lattice (fcc), two variations of the body-centered cubic lattice (bcc-14 and bcc-8), and simple-hexagonal lattices (sh). We find, through the use of a computer algorithm, that the minimal knotting number in sh is 20, in fcc is 15, in bcc-14 is 13, and bcc-8 is 18.

scholarly journals Experimental Realization of a One-Way Quantum Computer Algorithm Solving Simon’s Problem

2014 ◽  
Vol 113 (20) ◽  
Author(s):  
M. S. Tame ◽  
B. A. Bell ◽  
C. Di Franco ◽  
W. J. Wadsworth ◽  
J. G. Rarity
Keyword(s):  
Quantum Computer ◽  
Computer Algorithm ◽  
Experimental Realization

scholarly journals Characteristics of Optical Silicone Tactile Sensor

2015 ◽  
Vol 76 (1) ◽  
Author(s):  
Nurul Fathiah Mohamed Rosli ◽  
Muhammad Azmi Ayub ◽  
Roseleena Jaafan
Keyword(s):  
Endoscopic Surgery ◽  
Biomedical Applications ◽  
Force Measurement ◽  
Research Work ◽  
Surface Hardness ◽  
Tactile Sensor ◽  
Computer Algorithm ◽  
Anal Ysis ◽  
Area And Perimeter ◽  
Images Processing

The main objective of this research work is to anal yze the characteristics of a newly developed optical tactile sensor for sensing surface hardness. Many optical tactile sensors are bulky in size and lack of dexterity for biomedical applications. Therefore, this tactile sensor is design relative small in size and flexible for easier insertion in endoscopic surgery application. The characteristics of the tactile sensor are calibrated with respect to changes in the diameter, area and perimeter of a silicon tactile sensor subjected to normal forces applied at the point of interaction. A surface exploration computer algorithm to obtain the sensing information was developed to analyse the characteristic of the optical tactile sensor. The overall image anal ysis technique involves the following main stages: image acquisition (capturing of images), processing (thresholding, noise filtering and boundary detection ) and evaluation (force measurement). The measured forces were then compared to the actual forces to determine the accuracy of the tactile sensor’s characteristics. The results showed tluit the sensing characteristic with respect to changes in perimeter of the tactile sensor is more accurate compared to the other sensing characteristics. The outcomes of this research shows that the functionality of the developed new image anal ysis computer algorithm coupled with the silicone tactile sensor is suitable for biomedical applications such as in endoscopic surgery for measurement of tissue softness.

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