Activation cues and force scaling methods for virtual fixtures

2003 ◽  
Author(s):  
J.T. Nolin ◽  
P.M. Stemniski ◽  
A.M. Okamura
Keyword(s):  
Virtual Fixtures ◽  
Scaling Methods ◽  
Force Scaling

Magnitude Estimation and Cross-Modal Matching of Lingual Vibrotactile and Auditory Sensation

1989 ◽  
Vol 32 (3) ◽  
pp. 698-702 ◽  
Author(s):  
Daniel Harris ◽  
Donald Fucci ◽  
Linda Petrosino
Keyword(s):  
Auditory Stimulus ◽  
Magnitude Estimation ◽  
Sensory Processing ◽  
Test Site ◽  
Systematic Investigation ◽  
Thenar Eminence ◽  
Stimulus Range ◽  
Psychophysical Scaling ◽  
Scaling Methods ◽  
Response Biases

The present experiment was a preliminary attempt to use the psychophysical scaling methods of magnitude estimation and cross-modal matching to investigate suprathreshold judgments of lingual vibrotactile and auditory sensation magnitudes for 20 normal young adult subjects. A 250-Hz lingual vibrotactile stimulus and a 1000-Hz binaural auditory stimulus were employed. To obtain judgments for nonoral vibrotactile sensory magnitudes, the thenar eminence of the hand was also employed as a test site for 5 additional subjects. Eight stimulus intensities were presented during all experimental tasks. The results showed that the slopes of the log-log vibrotactile magnitude estimation functions decreased at higher stimulus intensity levels for both test sites. Auditory magnitude estimation functions were relatively constant throughout the stimulus range. Cross-modal matching functions for the two stimuli generally agreed with functions predicted from the magnitude estimation data, except when subjects adjusted vibration on the tongue to match auditory stimulus intensities. The results suggested that the methods of magnitude estimation and cross-modal matching may be useful for studying sensory processing in the speech production system. However, systematic investigation of response biases associated with vibrotactile-auditory psychophysical scaling tasks appears to be a prerequisite.

A Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Ligand-Target Predictions

2020 ◽  
Author(s):  
Lewis Mervin ◽  
Avid M. Afzal ◽  
Ola Engkvist ◽  
Andreas Bender
Keyword(s):  
Target Prediction ◽  
Support Vector ◽  
Machine Learning Method ◽  
Learning Method ◽  
Protein Target ◽  
Bioactivity Prediction ◽  
Vector Machines ◽  
Scaling Methods ◽  
Data Points ◽  
Compound Target

In the context of bioactivity prediction, the question of how to calibrate a score produced by a machine learning method into reliable probability of binding to a protein target is not yet satisfactorily addressed. In this study, we compared the performance of three such methods, namely Platt Scaling, Isotonic Regression and Venn-ABERS in calibrating prediction scores for ligand-target prediction comprising the Naïve Bayes, Support Vector Machines and Random Forest algorithms with bioactivity data available at AstraZeneca (40 million data points (compound-target pairs) across 2112 targets). Performance was assessed using Stratified Shuffle Split (SSS) and Leave 20% of Scaffolds Out (L20SO) validation.

RANCANGAN MODEL PENILAIAN KINERJA DENGAN METODE MANAJEMEN BERDASARKAN SASARAN (MANAGEMENT BY OBJECTIVE) DAN PENSKALAAN GRAFIK DI PT ACI

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Linda Mora Siregar
Keyword(s):  
Performance Appraisal ◽  
Job Analysis ◽  
Scaling Method ◽  
Scaling Methods ◽  
Questionnaire Method ◽  
A Performance

The purpose of this study is to design a performance appraisal model more effectively in accordance with the company's vision and mission, namely by combining management methods based on objectives (management by objective) and graph scaling methods. In the preparation of performance appraisal models with management methods based on objectives (management by objective) and graph scaling methods, carried out with several stages, namely the first stage is planning the making of performance appraisal models, the second is job analysis, third is the preparation of management methods based on objectives (management by objective), the fourth is the preparation of the scaling method and the fifth is the preparation of the performance appraisal form. The making of this performance appraisal design will use a questionnaire method, observation and also interviews to obtain and collect information and data.  Keywords: Performance Appraisal, Management Methods, Graph Scaling.   Tujuan penelitian ini adalah untuk merancang model penilaian kinerja secara lebih efektif sesuai dengan visi dan misi perusahaan, yaitu dengan menggabungkan metode manajemen berdasarkan sasaran (management by objective) dan metode penskalaan grafik. Dalam penyusunan model penilaian kinerja dengan metode manajemen berdasarkan sasaran (management by objective) dan metode penskalaan grafik, dilakukan dengan beberapa tahapan yaitu tahap pertama adalah perencanaan pembuatan model penilaian kinerja, kedua analisis jabatan, ketiga penyusunan metode manajemen berdasarkan sasaran (management by objective), keempat penyusunan metode penskalaan grafik dan kelima adalah penyusunan formulir penilaian kinerja. Pembuatan rancangan penilaian kinerja ini akan menggunakan metode kuesioner, observasi dan juga wawancara untuk mendapatkan dan mengumpulkan informasi dan data.   Kata Kunci: Penilaian kinerja, Metode Manajemen, Penskalaan Grafik.

Assessment of the accuracy of scaling methods for radiance simulations at far and mid infrared wavelengths

2021 ◽  
pp. 107739
Author(s):  
Michele Martinazzo ◽  
Davide Magurno ◽  
William Cossich ◽  
Carmine Serio ◽  
Guido Masiello ◽  
...  
Keyword(s):  
Mid Infrared ◽  
Scaling Methods ◽  
Infrared Wavelengths

scholarly journals Vision-Based Control of a Handheld Surgical Micromanipulator With Virtual Fixtures

2013 ◽  
Vol 29 (3) ◽  
pp. 674-683 ◽  
Author(s):  
Brian C. Becker ◽  
Robert A. MacLachlan ◽  
Louis A. Lobes ◽  
Gregory D. Hager ◽  
Cameron N. Riviere
Keyword(s):  
Virtual Fixtures ◽  
Vision Based Control
Sign in / Sign up

Export Citation Format

Share Document