Motion Capturing in Connection With Human Model Simulation and Artificial Intelligence AI for Employee Training in the Area of Joint-gentle Assembly Workflows in Production Environment

2021 ◽  
Author(s):  
Beate Brenner ◽  
Daniel Estler ◽  
Vera Hummel
Keyword(s):  
Artificial Intelligence ◽  
Model Simulation ◽  
Employee Training ◽  
Human Model ◽  
Production Environment ◽  
Motion Capturing

Custom Built of Smart Computing Platform for Supporting Optimization Methods and Artificial Intelligence Research

2021 ◽  
Vol 58 (S) ◽  
pp. 59-64
Author(s):  
Indar Sugiarto ◽  
Doddy Prayogo ◽  
Henry Palit ◽  
Felix Pasila ◽  
Resmana Lim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Message Passing ◽  
Graphics Processing Units ◽  
High Performance ◽  
Message Passing Interface ◽  
Optimization Methods ◽  
Computer Hardware ◽  
Production Environment ◽  
Computing Platform ◽  
Commercial Off The Shelf

This paper describes a prototype of a computing platform dedicated to artificial intelligence explorations. The platform, dubbed as PakCarik, is essentially a high throughput computing platform with GPU (graphics processing units) acceleration. PakCarik is an Indonesian acronym for Platform Komputasi Cerdas Ramah Industri Kreatif, which can be translated as “Creative Industry friendly Intelligence Computing Platform”. This platform aims to provide complete development and production environment for AI-based projects, especially to those that rely on machine learning and multiobjective optimization paradigms. The method for constructing PakCarik was based on a computer hardware assembling technique that uses commercial off-the-shelf hardware and was tested on several AI-related application scenarios. The testing methods in this experiment include: high-performance lapack (HPL) benchmarking, message passing interface (MPI) benchmarking, and TensorFlow (TF) benchmarking. From the experiment, the authors can observe that PakCarik's performance is quite similar to the commonly used cloud computing services such as Google Compute Engine and Amazon EC2, even though falls a bit behind the dedicated AI platform such as Nvidia DGX-1 used in the benchmarking experiment. Its maximum computing performance was measured at 326 Gflops. The authors conclude that PakCarik is ready to be deployed in real-world applications and it can be made even more powerful by adding more GPU cards in it.

scholarly journals Introducing artificial intelligence into a human resources function

2020 ◽  
Vol 52 (2) ◽  
pp. 121-130
Author(s):  
Wilfried Niehueser ◽  
George Boak
Keyword(s):  
Artificial Intelligence ◽  
New Technology ◽  
Employee Training ◽  
Small Sample ◽  
Structured Interviews ◽  
Work Processes ◽  
Content Type ◽  
Factors Affecting ◽  
Similar Work ◽  
A Company

Purpose The purpose of this paper is to examine the attitudes of employees in a company dedicated to strategic recruitment towards the introduction of artificial intelligence (AI) into their work processes and to consider the implications for training and development. Design/methodology/approach Semi-structured interviews were carried out with seven employees who were using the new technology. Survey data was gathered from 109 employees who had not, at the time of the research, used the new technology. Findings The introduction of AI considerably improved the speed and efficiency of the work processes. The research found that those employees who had used the new technology were positive about its effects, indicating that it was easy to use, robust and highly productive. A proportion of employees who had not, at the time of the research, used the new system, were less sure that it would improve their ability to do their job. Implications for introducing such a system and for employee training are discussed. Research limitations/implications This is a relatively small sample in one organisation; further research should be undertaken to assess whether these findings apply more widely. Practical implications If these attitudes are found elsewhere, there are a number of simple, practical suggestions for how to introduce AI into similar work processes. Originality/value The use of AI is a topic attracting increasing interest and speculation, but there is as yet little empirical research on factors affecting its introduction and use.

XCAT/DRASIM: a realistic CT/human-model simulation package

2011 ◽  
Author(s):  
George S. K. Fung ◽  
Karl Stierstorfer ◽  
W. Paul Segars ◽  
Katsuyuki Taguchi ◽  
Thomas G. Flohr ◽  
...  
Keyword(s):  
Model Simulation ◽  
Human Model ◽  
Simulation Package

Impact Assessment of Perioperative Point-of-Care Ultrasound Training on Anesthesiology Residents

2015 ◽  
Vol 123 (3) ◽  
pp. 670-682 ◽  
Author(s):  
Davinder Ramsingh ◽  
Joseph Rinehart ◽  
Zeev Kain ◽  
Suzanne Strom ◽  
Cecilia Canales ◽  
...  
Keyword(s):  
Model Simulation ◽  
Point Of Care ◽  
Human Model ◽  
Whole Body ◽  
Point Of Care Ultrasound ◽  
Simulation Design ◽  
Multiple Choice Tests ◽  
Perioperative Surgical Home ◽  
High Satisfaction ◽  
To Receive

Abstract Background: The perioperative surgical home model highlights the need for trainees to include modalities that are focused on the entire perioperative experience. The focus of this study was to design, introduce, and evaluate the integration of a whole-body point-of-care (POC) ultrasound curriculum (Focused periOperative Risk Evaluation Sonography Involving Gastroabdominal Hemodynamic and Transthoracic ultrasound) into residency training. Methods: For 2 yr, anesthesiology residents (n = 42) received lectures using a model/simulation design and half were also randomly assigned to receive pathology assessment training. Posttraining performance was assessed through Kirkpatrick levels 1 to 4 outcomes based on the resident satisfaction surveys, multiple-choice tests, pathologic image evaluation, human model testing, and assessment of clinical impact via review of clinical examination data. Results: Evaluation of the curriculum demonstrated high satisfaction scores (n = 30), improved content test scores (n = 37) for all tested categories (48 ± 16 to 69 ± 17%, P < 0.002), and improvement on human model examinations. Residents randomized to receive pathology training (n = 18) also showed higher scores compared with those who did not (n = 19) (9.1 ± 2.5 vs. 17.4 ± 3.1, P < 0.05). Clinical examinations performed in the organization after the study (n = 224) showed that POC ultrasound affected clinical management at a rate of 76% and detected new pathology at a rate of 31%. Conclusions: Results suggest that a whole-body POC ultrasound curriculum can be effectively taught to anesthesiology residents and that this training may provide clinical benefit. These results should be evaluated within the context of the perioperative surgical home.

Human Factors Assessment Based on the Technology of Human Motion Capturing

2010 ◽  
Vol 44-47 ◽  
pp. 532-536 ◽  
Author(s):  
Dong Zhou ◽  
Zhi Qi Guo ◽  
Mei Hui Wang ◽  
Chuan Lv
Keyword(s):  
Human Factors ◽  
Virtual Environment ◽  
Human Motion ◽  
Human Model ◽  
Virtual Human ◽  
Unique Point ◽  
Technical Program ◽  
Working Postures ◽  
Maintenance Process ◽  
Motion Capturing

We aim to combine the technology of capturing human motion and the technology of virtual reality to carry on assessment of human factors. The unique point in this method is that not only the reliable data of the maintenance worker can be gained, but also the quantitative analytic result based on the virtual environment can be obtained. In the paper, human motion capture technology, ergonomics evaluation and the interface technology have been considered comprehensively. overall technical program of human factors evaluation, which is based on human motion capturing technology, have been carried on; the technology, which include the captured data of human motion translating into the virtual environment, building the virtual human model and virtual human simulation, both based on captured data in the working site, are taken as innovations; replicable technology of the captured data in the virtual environment have been broken through. Carrying on the quantitative analysis of worker working postures, fatigue and human force and torque in the maintenance process, which is based on the technology of human factors evaluation by using the captured data in the working site, is researched. We have verified the feasibility of this technology through an example. The method provides a new way and operational technology for human factors assessment in maintenance process of aviation equipment.

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