scholarly journals A Study on Estimation of Acceleration and Angular Velocity Data from Actual Measurements by Trajectory Generator

2021 ◽  
Vol 144 (0) ◽  
pp. 14-20
Author(s):  
Gen FUKUDA ◽  
Daisuke Hatta ◽  
Nobuaki KUBO
Keyword(s):  
Angular Velocity ◽  
Velocity Data ◽  
Trajectory Generator

Electrically evoked isokinetic plantar flexor torque in males

1987 ◽  
Vol 63 (4) ◽  
pp. 1499-1503 ◽  
Author(s):  
D. O. Thomas ◽  
M. J. White ◽  
G. Sagar ◽  
C. T. Davies
Keyword(s):  
Angular Velocity ◽  
Muscle Activation ◽  
Triceps Surae ◽  
Plantar Flexor ◽  
Velocity Data ◽  
Exponential Equation ◽  
Isometric Torque ◽  
The Mean ◽  
Electrical Stimuli ◽  
Male Subjects

The involuntary angle-specific isokinetic plantar flexor torques of seven male subjects aged 18–21 yr were measured using a Cybex II dynamometer (Lumex) modified by the addition of a strain-gauge load cell to improve the dynamic response of the instrument. Supramaximal electrical stimuli were used to evoke a maximal tetanic response from the triceps surae and ensure constant muscle activation at each angular velocity studied. Angle-specific torques were measured over a range (0.5–5.0 rad/s) of preset velocities, torque decreasing in a nonlinear manner with increasing angular velocity. The torque-velocity data was adequately described by an exponential equation of the form: V = a(e-1/b - e-Po/b) where V = velocity (rad/s), P = torque (N.m), Po = isometric torque (N.m), and a and b are constants. The mean intrasubject coefficient of variation of torque over the range of velocities studies was 7.9 +/- 1.88% (SD).

Numerical Simulation of the RMF Stirring of Molten Ga-In Alloy Using RANS K-ε and LES Turbulence Models

2014 ◽  
Vol 790-791 ◽  
pp. 402-407
Author(s):  
Csaba Nagy ◽  
Yves Fautrelle ◽  
Olga Budenkova ◽  
Arnold Rónaföldi ◽  
András Roósz
Keyword(s):  
Numerical Simulation ◽  
Angular Velocity ◽  
Turbulence Models ◽  
Turbulent Energy ◽  
Electromagnetic Stirring ◽  
Energy Spectra ◽  
Velocity Data ◽  
Ansys Fluent ◽  
Flow Parameters ◽  
Comparison Of The Results

A comparison of the results of RANS k-ε and LES turbulence models was done via the simulation of the electromagnetic stirring of liquid 75,5%Ga-24,5%In alloy (in a 10 mm diameter & 30 mm high crucible) using Ansys Fluent. Each velocity component, the distribution of eddies inside the melt and other flow parameters were compared respectively. The accuracy was checked with measured angular velocity data of A. Rónaföldi. The turbulent energy spectra were also produced to see the validity of the LES models.

A Linear Algebra Approach to the Analysis of Rigid Body Velocity From Position and Velocity Data

1983 ◽  
Vol 105 (2) ◽  
pp. 92-95 ◽  
Author(s):  
A. J. Laub ◽  
G. R. Shiflett
Keyword(s):  
Angular Velocity ◽  
Rigid Body ◽  
Matrix Theory ◽  
The Body ◽  
Instantaneous Velocity ◽  
Body Motion ◽  
Translational Velocity ◽  
Velocity Data ◽  
Algebra Approach ◽  
Body Velocity

The instantaneous velocity of a rigid body in space is characterized by an angular and translational velocity. By representing the angular velocity as a matrix and the translational component as a vector the velocity of any point in the rigid body may be found if the position of the point and the parameters of the angular and translational velocities are known. Alternatively, the parameters of the rigid body velocity may be determined if the velocity and position of three points fixed in the body are known. In this paper, a new matrix-theory-based method is derived for determining the instantaneous velocity parameters of rigid body motion in terms of the velocity and position of three noncollinear points fixed in the body. The method is shown to possess certain advantages over traditional vectoral solutions to the same problem.

scholarly journals Dynamic manipulation of unknown string by robot arm: Realizing momentary string shapes

2020 ◽  
Author(s):  
Kenta Tabata ◽  
Hiroaki Seki ◽  
Tokuo Tsuji ◽  
Tatsuhiro Hiramitsu ◽  
Masatosh Hikizu
Keyword(s):  
Angular Velocity ◽  
High Speed ◽  
3D Model ◽  
String Model ◽  
Robot Motion ◽  
Robot Arm ◽  
Velocity Data ◽  
Motion Generation ◽  
Motion Data ◽  
Dynamic Manipulation

Abstract In this paper we propose dynamic manipulation for flexible object by using high speed robot arm. We consider dynamic manipulation for unknown string and describe how to manipulete it. Paticulary, we focus on the achived momentary string shapes. For example, momentary string shapes is like a J , C or d. In our strategy for dynamic manipulation of unknown string, manipulation is achieved through repeating 3steps: manipulation of string by robot arm, string parameter estimation. A string is described as the physical-dased 3D model. And ,motion data for robot arm is given as each joint angular velocity data. For simulation of motion, we input the each joint angular velocity data,and initial paramaretars of modeled string.This simulation calculate not only the motion of robot arm but also motion of modeled ropes which occured by robot motion. Parametar estimation is to string parametar by comparing image of the real manipulation with string model and motion generation by estimated model. Repeatly each step, we realize dynamic manipulation of unknown string. Finaly, we show the some experiment of dynamic manipulation ,and we demonstrate effective of parametar estimation and validity.

scholarly journals Fall Detection and Daily Living Activity Recognition using Machine Learning

2020 ◽  
Vol 9 (6) ◽  
pp. 328-332
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Angular Velocity ◽  
Activity Recognition ◽  
Daily Living ◽  
Fall Detection ◽  
Classification Algorithm ◽  
Support Vector ◽  
Velocity Data ◽  
Daily Living Activity

Elder people are increasing all over the world as a result certain fall occur in their daily life. This fall lead to several severe problems. The fall may often causes injuries and in many cases it result in death of the individual. The problem should be addressed to reduce the fall. By using some Machine Learning(ML) algorithm the fall and daily living activities are recognized. The acceleration and angular velocity data obtained from the dataset are used to detect the fall and daily living activity. Body movement of the person are collected and stored in the dataset. Acceleration and angular velocity data are used to extract the time and frequency domain feature and provide them to classification algorithm. Here, Logistic regression algorithm is used for detecting the fall and living activity. It is very effective algorithm and does not require too many computational resources. It is easy to regularize and provide well calibrated predicted probabilities as output. The sensitivity, accuracy and specificity of fall detection and activity recognition is obtained as a result. The performance evaluation is made with three classification algorithm. The three classification algorithm are Artificial neural network (ANN), K-nearest neighbours (KNN), Quadratic support vector machine (QSVM). Logistic regression provides highest accuracy compared with other three algorithm.

scholarly journals The Effect of Instrumentation on Sports Balls During Flight, Exemplified by A Smart AFL Ball: Model and Experiment

Proceedings ◽  
2020 ◽  
Vol 49 (1) ◽  
pp. 102
Author(s):  
Franz Konstantin Fuss
Keyword(s):  
Angular Velocity ◽  
Data Collection ◽  
Mass Distribution ◽  
Critical Angle ◽  
Velocity Vector ◽  
Elevation Angle ◽  
Rate Data ◽  
Velocity Data ◽  
Angular Velocity Vector ◽  
Distribution Moments

Sensors incorporated in a sports ball for data collection can affect the properties of a ball, specifically the spin rate of a ball if the mass distribution (moments of inertia, MOI) is altered. This paper provides a method for assessing the MOIs of a smart ball by means of spin rate data, collected from a gyroscopic sensor. The critical elevation angle of the angular velocity vector defines the separatrix condition, which decides whether the angular velocity vector precesses about the axis with the greatest MOI or with the smallest MOI. The critical elevation angle can be directly determined from the experimental of the angular velocity data, and, together with the ratio of precession speed to angular velocity, applied to calculating the three MOIs. In the smart AFL ball used for the experiments, the critical angle was 13.5°, and the ratio of the two small MOIs was 1.014.

Comparison of Measured and Numerically Simulated Angular Velocity of Magnetically Stirred Liquid Ga-ln Alloy

2013 ◽  
Vol 752 ◽  
pp. 157-166 ◽  
Author(s):  
Csaba Nagy ◽  
Arnold Rónaföldi ◽  
András Roósz
Keyword(s):  
Numerical Simulation ◽  
Angular Velocity ◽  
Simulation Model ◽  
Measuring Equipment ◽  
Single Phase ◽  
Liquid Gallium ◽  
Velocity Data ◽  
Ansys Fluent ◽  
Additional Information ◽  
Velocity Measuring

A measurement of the angular velocity/revolution number of magnetically stirred liquid gallium-indium alloy was realized with newly developed angular velocity measuring equipment. To get additional information about the flow of the melt, a numerical simulation model was performed with ANSYS FLUENT 13.0 with a single phase 2D k-ε turbulence solver. The aim was to reproduce the flow as accurate as possible, so the measured and computed angular velocity data was compared, to see if the system can be modeled fairly well.

Zonal and tesseral harmonic perturbations of an artificial satellite

1966 ◽  
Vol 25 ◽  
pp. 323-325 ◽  
Author(s):  
B. Garfinkel
Keyword(s):  
Angular Velocity ◽  
Spherical Harmonics ◽  
Artificial Satellite ◽  
Compact Form ◽  
Earth’S Rotation ◽  
Earth's Rotation ◽  
Secular Variations ◽  
Tesseral Harmonics

The paper extends the known solution of the Main Problem to include the effects of the higher spherical harmonics of the geopotential. The von Zeipel method is used to calculate the secular variations of orderJmand the long-periodic variations of ordersJm/J2andnJm,λ/ω. HereJmandJm,λare the coefficients of the zonal and the tesseral harmonics respectively, withJm,0=Jm, andωis the angular velocity of the Earth's rotation. With the aid of the theory of spherical harmonics the results are expressed in a most compact form.

CARDIAC TISSUE DOPPLER IMAGING IN THE NORMAL FETUS: ATRIAL, ANNULAR AND VENTRICULAR VELOCITY DATA

2005 ◽  
Vol 26 (S 1) ◽  
Author(s):  
J Steinhard ◽  
J Heinig ◽  
F von Roth ◽  
R Schmitz ◽  
A Klemt ◽  
...  
Keyword(s):  
Tissue Doppler Imaging ◽  
Cardiac Tissue ◽  
Tissue Doppler ◽  
Doppler Imaging ◽  
Velocity Data ◽  
Normal Fetus
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