scholarly journals Analysis of the use of a mobile simulation unit using the principles of a managed educational network

2021 ◽  
Author(s):  
Andrea Baker ◽  
Lynn Hardie ◽  
Susan Somerville ◽  
Jean Ker
Keyword(s):  
Simulation Unit

Development of a hardware-accelerated simulation kernel for ultra-high vacuum with Nvidia RTX GPUs

2021 ◽  
pp. 109434202110566
Author(s):  
Pascal R Bähr ◽  
Bruno Lang ◽  
Peer Ueberholz ◽  
Marton Ady ◽  
Roberto Kersevan
Keyword(s):  
Ray Tracing ◽  
Graphics Processing Units ◽  
High Vacuum ◽  
Simulation Software ◽  
Ultra High Vacuum ◽  
Particle Accelerators ◽  
Accelerated Simulation ◽  
Mc Simulation ◽  
Graphics Processing ◽  
Simulation Unit

Molflow+ is a Monte Carlo (MC) simulation software for ultra-high vacuum, mainly used to simulate pressure in particle accelerators. In this article, we present and discuss the design choices arising in a new implementation of its ray-tracing–based simulation unit for Nvidia RTX Graphics Processing Units (GPUs). The GPU simulation kernel was designed with Nvidia’s OptiX 7 API to make use of modern hardware-accelerated ray-tracing units, found in recent RTX series GPUs based on the Turing and Ampere architectures. Even with the challenges posed by switching to 32 bit computations, our kernel runs much faster than on comparable CPUs at the expense of a marginal drop in calculation precision.

scholarly journals Comparison of disinfectants for biofilm, protozoa and Legionella control

2005 ◽  
Vol 3 (4) ◽  
pp. 423-433 ◽  
Author(s):  
J. F. Loret ◽  
S. Robert ◽  
V. Thomas ◽  
Y. Lévi ◽  
A. J. Cooper ◽  
...  
Keyword(s):  
Chlorine Dioxide ◽  
Residual Activity ◽  
Water Systems ◽  
Treatment Efficiency ◽  
Domestic Water ◽  
Continuous Application ◽  
Simulation Unit ◽  
Equivalent Conditions ◽  
Domestic Water Supply ◽  
Initial Contamination

The aim of this study was to compare the efficiency of different disinfectants applicable to Legionella control in domestic water systems. A domestic water supply simulation unit that allowed simulation of real-world conditions was developed for this purpose. The system, consisting of seven identical rigs, was used to compare treatment efficiency under equivalent conditions of system design, materials, hydraulics, water quality, temperature and initial contamination. During the study, each of six loops received continuous application of one of the following disinfectants: chlorine, electro-chlorination, chlorine dioxide, monochloramine, ozone, or copper/silver. The seventh loop was used as a control and remained untreated. Performance evaluation of these disinfectants was based on their ability to reduce not only Legionella, but also protozoa and biofilms, which contribute to the establishment and dissemination of these bacteria in water systems, and their resistance to treatments. Regarding these criteria, chlorine dioxide and chlorine (as bleach or obtained by electro-chlorination) were the most effective treatments in this study. However, in comparison with chlorine, chlorine dioxide showed a longer residual activity in the system, which constituted an advantage in the perspective of an application to extensive pipework systems.

scholarly journals P100: Iterative prototype development of a mobile tele-simulation unit for remote training: an update

CJEM ◽  
2017 ◽  
Vol 19 (S1) ◽  
pp. S112 ◽  
Author(s):  
M.H. Parsons ◽  
A. Smith ◽  
K.J. Hoover ◽  
J. Jewer ◽  
S. Noseworthy ◽  
...  
Keyword(s):  
Emergency Medicine ◽  
Mixed Methods ◽  
Learning Experience ◽  
Rural And Remote ◽  
Mixed Methods Approach ◽  
Technical Performance ◽  
Prototype Development ◽  
Simulation Based ◽  
Technical Issues ◽  
Simulation Unit

Introduction/Innovation Concept: Rural and remote practice of emergency medicine presents unique challenges, particularly when faced with infrequently encountered cases and procedures. Simulation-based training is a valuable tool in the acquisition and maintenance of knowledge and skills; however, simulators are often located in larger centers and they are not widely outside these centers due to geographic, cost and time constraints. Mobile tele-simulation has the potential to overcome barriers but challenges such as comfort, technical issues and ability to teach desired content via tele-simulation must be addressed. We are developing a mobile-tele-simulation unit (MTU) prototype that will enable emergency medicine practitioners and trainees to access simulation-based instruction in rural and remote settings. Methods: Through application of a mixed-methods approach with input of a multidisciplinary team we are iteratively developing an MTU prototype to assess key factors in design and function, including: technical issues, environmental features, and human factors. The Delphi method is being used to collect input from experts on key design components and feedback is also being collected from trainees after participating in trial deployments of the MTU in different educational and environmental settings. Curriculum, Tool, or Material: The effective application of the MTU in a variety of learning settings will be optimized through ongoing evaluation in the iterative design cycle. Feedback to ensure a quality learning experience in the MTU will direct features of physical design and technical performance that can be applied in deployment of the unit. In addition, challenges to the delivery of module content and instructional modality/ features of lessons to be executed will be important considerations as we move toward developing content that can effectively be taught using the MTU. Conclusion: To ensure effective use of tele-simulation in the delivery of a meaningful simulation experience to rural and remote trainees a number of important challenges must be overcome. We describe our evolving multidisciplinary mixed-methods approach to develop an effective mobile tele-simulation unit.

Test and Simulation System of Multi-Axis Controller

2013 ◽  
Vol 860-863 ◽  
pp. 1069-1072
Author(s):  
Rong Chun Sun ◽  
Yan Xin Yu
Keyword(s):  
Control System ◽  
Error Analysis ◽  
Real Time ◽  
Control Strategy ◽  
Simulation System ◽  
Test Results ◽  
Simulation Test ◽  
Motion Mechanism ◽  
Simulation Unit ◽  
Time Acquisition

To realize the online error analysis and verification of control strategy, it is necessary to simulate the states of the motion mechanism, and accurately to obtain the motion relationship between multi-axis and between motors. So a test and simulation system of multi-axis controller was designed. The system consists of a unit of real-time acquisition and analysis, a simulation unit of motor loads, a motherboard and a computer. Motor driving signals for multi channels are synchronously sampled and analyzed by the unit of acquisition and analysis. Motherboard is used to link the various parts. The working states of motor divers under loads are simulated by simulating the motor loads. In the industrial computer, the control effects of multi-axis control system are displayed by 3D simulation. Test results show that the system is stable and reliable, and has a certain application value.

A simulation unit for cardiac arrhythmias

1971 ◽  
Vol 9 (1) ◽  
pp. 13-21 ◽  
Author(s):  
P. Bhéreur ◽  
F. A. Roberge ◽  
R. A. Nadeau
Keyword(s):  
Cardiac Arrhythmias ◽  
Simulation Unit

scholarly journals Phase Identification of Nanometric Precipitates in Al-Si-Cu Aluminum Alloy by Hr-Stem Investigations

2016 ◽  
Vol 61 (3) ◽  
pp. 1303-1308 ◽  
Author(s):  
M. Pawlyta ◽  
K. Labisz ◽  
K. Matus
Keyword(s):  
Chemical Composition ◽  
New Technologies ◽  
Cost Effective ◽  
Composition Analysis ◽  
Phase Identification ◽  
Laser Remelting ◽  
Temperature Changes ◽  
Aluminium Recycling ◽  
Research Challenge ◽  
Simulation Unit

Abstract Aluminium recycling is cost-effective and beneficial for the environment. It is expected that this trend will continue in the future, and even will steadily increase. The consequence of the use of recycled materials is variable and difficult to predict chemical composition. This causes a significant reduction in the production process, since the properties of produced alloy are determined by the microstructure and the presence of precipitates of other phases. For this reason, the type and order of formation of precipitates were systematically investigated in recent decades. These studies involved, however, only the main systems (Al-Cu, Al-Mg-Si, Al-Cu-Mg, Al-Mg-Si-Cu), while more complex systems were not analysed. Even trace amounts of additional elements can significantly affect the alloy microstructure and composition of precipitates formed. This fact is particularly important in the case of new technologies such as laser surface treatment. As a result of extremely high temperature and temperature changes after the laser remelting large amount of precipitates are observed. Precipitates are nanometric in size and have different morphology and chemical composition. A full understanding of the processes that occur during the laser remelting requires their precise but also time effectively phase identification, which due to the diversity and nanometric size, is a major research challenge. This work presents the methodology of identification of nanometer phase precipitates in the alloy AlSi9Cu, based on the simultaneous TEM imaging and chemical composition analysis using the dispersion spectroscopy using the characteristic X-ray. Verification is performed by comparing the simulation unit cell of the identified phase with the experimental high-resolution image.

scholarly journals P039: Application of the Delphi method to refine key components in the iterative development of a mobile tele-simulation unit (MTU)

CJEM ◽  
2018 ◽  
Vol 20 (S1) ◽  
pp. S70-S71 ◽  
Author(s):  
C. Dunne ◽  
J. Jewer ◽  
M. Parsons
Keyword(s):  
Delphi Method ◽  
Practice Research ◽  
Iterative Development ◽  
Technical Requirements ◽  
Clinical Scenarios ◽  
Simulation Based ◽  
Technical Factors ◽  
Simulation Center ◽  
Simulation Unit ◽  
Research Studies

Introduction: Safe and efficient provision of quality healthcare requires maintenance of knowledge and skills relevant to daily practice. This is particularly relevant in rural and remote locations where high-acuity low-occurrence procedures and clinical scenarios present even less frequently. Simulation based training is widely used to supplement clinical exposure and practice but effective delivery of this approach to the rural/ remote practitioner must address barriers of time, cost and geographical separation. Mobile tele-simulation is an innovative approach that may help in bridging the gap through delivery of effective mentoring using telemedicine technologies and tailored educational content. Methods: To help direct the iterative design cycle for the mobile tele-simulation unit, input from potential future users was felt to be essential. The Delphi method was employed to reach consensus among study participants on four key questions: 1) What applications would the MTU be best suited for?, 2) What technical requirements and teaching tools would be needed to make the MTU successful?, 3) Which fields, besides EM/medical education, may benefit from partnerships with the final MTU?, 4) What research studies could be developed using the MTU? It was decided in advance that two rounds would be the maximum due to time constraints of the larger MTU projects. The first questionnaire focused on demographics and the four questions above. Independent reviewers analyzed, compiled and compared responses. Participants were sent the updated list, asked to confirm their responses and then to rank the responses highest to lowest priority. Results: Fifteen of 17 first round participants completed the questions, giving an 88.2% response rate. All shared a simulation background. 66% were physicians, 13.3% medical students, and 20% staff at Memorials Simulation Center. 66% had been involved with simulation-based education less than 5 years, and the others greater than 5 year. 13 of 15 (86.7%) responded in round 2. Consensus was not reached statistically using Kendalls W test for each of the four questions. However, there were several responses that showed higher median ranks than the others under each question. Application use: rural healthcare training, and medical professional training Technical factors: reliable learner-mentor connection, and competent technical support Non-technical factors: knowledgeable mentor and content relevant to locations practice, Research studies: training needs assessment from rural sites, and learners experience compared to stationary simulation center Conclusion: Input from a heterogeneous group of simulation users was sought to help prioritize key features in the development of the Mobile Tele-simulation Unit. Although statistically the study did not reach consensus, valuable feedback was compiled and pragmatically applied in the iterative development cycle.

scholarly journals A Novel Inspection Technique for Electronic Components Using Thermography (NITECT)

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 5013
Author(s):  
Haochen Liu ◽  
Lawrence Tinsley ◽  
Wayne Lam ◽  
Sri Addepalli ◽  
Xiaochen Liu ◽  
...  
Keyword(s):  
Critical Systems ◽  
Electronic Components ◽  
Pulsed Thermography ◽  
Quantitative Classification ◽  
High Hazard ◽  
Classification Evaluation ◽  
Twin Methodology ◽  
Inspection Techniques ◽  
Simulation Unit ◽  
Different Sources

Unverified or counterfeited electronic components pose a big threat globally because they could lead to malfunction of safety-critical systems and reduced reliability of high-hazard assets. The current inspection techniques are either expensive or slow, which becomes the bottleneck of large volume inspection. As a complement of the existing inspection capabilities, a pulsed thermography-based screening technique is proposed in this paper using a digital twin methodology. A FEM-based simulation unit is initially developed to simulate the internal structure of electronic components with deviations of multiple physical properties, informed by X-ray data, along with its thermal behaviour under exposure to instantaneous heat. A dedicated physical inspection unit is then integrated to verify the simulation unit and further improve the simulation by taking account of various uncertainties caused by equipment and samples. Principle component analysis is used for feature extraction, and then a set of machine learning-based classifiers are employed for quantitative classification. Evaluation results of 17 chips from different sources successfully demonstrate the effectiveness of the proposed technique.

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