scholarly journals Detection of radial frequency motion trajectories

2010 ◽  
Vol 10 (7) ◽  
pp. 825-825
Author(s):  
C. C.- F. Or ◽  
M. Thabet ◽  
H. R. Wilson ◽  
F. Wilkinson
Keyword(s):  
Motion Trajectories ◽  
Radial Frequency

A Study on Polymer Particle Flow in a Disk Zone of a Screw-Disk Extruder

2014 ◽  
Vol 35 (1) ◽  
pp. 121-135 ◽  
Author(s):  
Tomasz Rydzkowski ◽  
Iwona Michalska-Pożoga
Keyword(s):  
Mechanical Properties ◽  
Computer Simulations ◽  
Particle Motion ◽  
Polymer Melt ◽  
Experimental Tests ◽  
Polymer Particle ◽  
Particle Flow ◽  
Material Particle ◽  
Motion Trajectories ◽  
Stretching Effect

Abstract The paper presents the summary of research on polymer melt particle motion trajectories in a disc zone of a screw-disk extruder. We analysed two models of its structure, different in levels of taken simplifications. The analysis includes computer simulations of material particle flow and results of experimental tests to determine the properties of the resultant extrudate. Analysis of the results shows that the motion of melt in the disk zone of a screw-disk extruder is a superposition of pressure and dragged streams. The observed trajectories of polymer particles and relations of mechanical properties and elongation of the molecular chain proved the presence of a stretching effect on polymer molecular chains.

scholarly journals THÖR: Human-Robot Navigation Data Collection and Accurate Motion Trajectories Dataset

2020 ◽  
Vol 5 (2) ◽  
pp. 676-682
Author(s):  
Andrey Rudenko ◽  
Tomasz P. Kucner ◽  
Chittaranjan S. Swaminathan ◽  
Ravi T. Chadalavada ◽  
Kai O. Arras ◽  
...  
Keyword(s):  
Data Collection ◽  
Robot Navigation ◽  
Motion Trajectories ◽  
Navigation Data

scholarly journals A biologically plausible model of human radial frequency perception

2006 ◽  
Vol 46 (15) ◽  
pp. 2443-2455 ◽  
Author(s):  
Frédéric J.A.M. Poirier ◽  
Hugh R. Wilson
Keyword(s):  
Plausible Model ◽  
Radial Frequency

Ocular pursuit of predicted motion trajectories

2001 ◽  
Vol 138 (3) ◽  
pp. 393-397 ◽  
Author(s):  
Kestutis Kveraga ◽  
Robert Fendrich ◽  
Howard Hughes
Keyword(s):  
Ocular Pursuit ◽  
Motion Trajectories

scholarly journals 3D Motion Trajectories Recognition using Optimal Set of Geometric Primitives, Angular and Statistical Features

2019 ◽  
Vol 9 (2) ◽  
pp. 2972-2979
Keyword(s):  
Cross Validation ◽  
Recognition Accuracy ◽  
Svm Classifier ◽  
Statistical Features ◽  
3D Motion ◽  
Motion Trajectories ◽  
Optimal Subset ◽  
Optimal Set ◽  
Geometric Primitives ◽  
Fold Cross Validation

This paper presents the 3D motion trajectories (lower case 3D alphabetic characters) recognition using optimal set of geometric primitives, angular and statistical features. It has been observed that the different combinations of these features have not been used in the literature for recognition of 3D characters. The standard dataset named “CHAR3D” has been used for analysis purpose. The dataset consists of 2858 character samples and each character sample is 3 dimensional pen tip velocity trajectory. In this dataset only single pen down segmented characters have been considered. The recognition has been performed using Random Forest (RF) and multiclass support vector machine (SVM) classifier on the optimal subset of extracted features. The best obtained recognition accuracy of 83.4% has been recorded using 3D points, angular and statistical features at 10 fold cross validation using SVM classifier. Moreover, the highest recognition accuracy of 96.88% has been recorded using an optimal subset of 32 dimensional features namely, geometric primitives, angular and statistical features at 10 fold cross validation by RF classifier.

scholarly journals Design of Biomechanical Legs with a Passive Toe Joint for Enhanced Human-like Walking

2017 ◽  
Vol 14 (2) ◽  
pp. 166 ◽  
Author(s):  
Riadh Zaier ◽  
A. Al-Yahmedi
Keyword(s):  
Design Procedure ◽  
Human Walking ◽  
Human Gait ◽  
Design Parameters ◽  
Sultan Qaboos University ◽  
Motion Trajectories ◽  
Normal Human ◽  
Working Principle ◽  
Mass Spring ◽  
Torsion Springs

This paper presents the design procedure of a biomechanical leg, with a passive toe joint, which is capable of mimicking the human walking. This leg has to provide the major features of human gait in the motion trajectories of the hip, knee, ankle, and toe joints. Focus was given to the approach of designing the passive toe joint of the biomechanical leg in its role and effectiveness in performing human like motion. This study was inspired by experimental and theoretical studies in the fields of biomechanics and robotics. Very light materials were mainly used in the design process. Aluminum and carbon fiber parts were selected to design the proposed structure of this biomechanical leg, which is to be manufactured in the Mechanical Lab of the Sultan Qaboos University (SQU). The capabilities of the designed leg to perform the normal human walking are presented. This study provides a noteworthy and unique design for the passive toe joint, represented by a mass-spring damper system, using torsion springs in the foot segment. The working principle and characteristics of the passive toe joint are discussed.  Four-designed cases, with different design parameters, for the passives toe joint system are presented to address the significant role that the passive toe joint plays in human-like motion. The dynamic motion that is used to conduct this comparison was the first stage of the stance motion. The advantages of the presence of the passive toe joint in gait, and its effect on reducing the energy consumption by the other actuated joints are presented and a comparison between the four-designed cases is discussed.

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