• Nuclear Engineering and Technology
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• v.56 no.3
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• pp.880-885
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• 2024

For Safety Assisted Engineering works, real-time simulators have emerged as a mandatory tool among all the key actors involved in the nuclear industry (utilities, designers and safety authorities). EDF, Electricité de France, as the leading worldwide nuclear power plant operator, has a crucial need for efficient and updated simulation tools for training, operating and safety analysis support. This paper will present the work performed at EDF/DT to develop a new generation of engineering simulator to fulfil these tasks. The project is called SiRENE, which is the acronym of Re-hosted Engineering Simulator in French. The project has been economically challenging. Therefore, to benefit from existing tools and experience, the SiRENE project combines: - A part of the process issued from the operating fleet training full-scope simulator. - An improvement of the simulator prediction reliability with the integration of High-Fidelity models, used in Safety Analysis. These High-Fidelity models address Nuclear Steam Supply System code, with CATHARE thermal-hydraulics system code and neutronics, with COCCINELLE code. - And taking advantage of the last generation and improvements of instructor station. The intensive and challenging uses of the new SiRENE engineering simulator are also discussed. The SiRENE simulator has to address different topics such as verification and validation of operating procedures, identification of safety paths, tests of I&C developments or modifications, tests on hydraulics system components (pump, valve etc.), support studies for Probabilistic Safety Analysis (PSA). etc. It also emerges that SiRENE simulator is a valuable tool for self-training of the newcomers in EDF nuclear engineering centers. As a modifiable tool and thanks to a skillful team managing the SiRENE project, specific and adapted modifications can be taken into account very quickly, in order to provide the best answers for our users' specific issues. Finally, the SiRENE simulator, and the associated configurations, has been distributed among the different engineering centers at EDF (DT in Lyon, DIPDE in Marseille and CNEPE in Tours). This distribution highlights a strong synergy and complementarity of the different engineering institutes at EDF, working together for a safer and a more profitable operating fleet.

• International Journal of Aerospace System Engineering
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• v.5 no.1
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• pp.9-18
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• 2018

The longitudinal flight parameters of a light airplane are estimated from flight test data by use of the output error method. The reliability of the flight test measurement is examined in engineering judgment, scatter and Cramer-Rao bound, which turns out to be satisfactory with minor defects. Estimated parameter values are validated by comparing the simulated responses with the ones from actual flight tests. The FTD(Flight Training Device) of a light airplane turns out to satisfy the qualification of FAA Level 5 FTD in longitudinal motion. All the necessary practices for generation of high-fidelity data in longitudinal motion of a light aircraft are successfully performed in this study.

• Journal of Korea Game Society
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• v.14 no.4
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• pp.87-94
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• 2014

In recent years, there has been an increasing interest in tangible sports simulators with the success of golf simulator. The main purpose of this study is to develop a tangible snowboard simulator for the beginner using virtual reality technology. This paper proposes an interactive virtual coach and high fidelity virtual environment for snowboard training. The virtual coach offers an intuitive guidance and personalized coaching feedback about the 5 fundamental riding skills. The virtual training environment uses the stereoscopic display system and motion platform to create more realistic training situation. We expect virtual reality will be used as a training aids in many sports such as taekwondo, baseball, archery and so on.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.116-122
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• 2021

This study evaluated the effect of simulation training on cardiac arrest in hospitals for inactive nurses with 360 VR content, and attempted to prepare basic data for simulation training for inactiv nurses in the future. The design of this study is an experiment study before and after a single group. The study period was from October 13, 2020 to December 17, 2020. The subjects of the study were a total of 21 nurses who participated in the education program for inactive nurses. For simulation training for inactive nurses, Microsoft Powerpoint, hybrid simulation, high-fidelity simulation, and 360 VR content were applied for theories education and practical education. As a result of the study, the satisfaction level of the curriculum for the cardiac arrest situation in the hospital for inactive nurses was 4.78±0.36 points out of 5 points. Understanding of education was 4.71±0.46 points out of 5 points. Usefulness of education was 4.80±0.40 points out of 5 points. Confidence in airway maintenance before and after training, BLS review, manual defibrillator, emergency medication administration, airway maintenance, emergency situation simulation, and debriefing were all significant. According to the results of this study, simulation training of the situation of cardiac arrest in the hospitals for inactive nurses was effective. In future studies, it will be necessary to develope and verify specific teaching and learning methods by applying various cases of cardiac arrest situations in consideration of the type of hospitals.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.540-548
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• 2018

The purpose of this study was to test the validity and reliability of the Satisfaction with Simulation Experience (SSE) scale for evaluating high-fidelity simulation education for nursing students. Participants were 174 nursing students, seniors enrolled in two colleges in two different regions. Collected data were analyzed using SPSS / WIN 22.0 and tested for construct validity (factor analysis, group comparison test) and reliability (internal consistency). Factor analysis revealed 17 items and 3 factors explaining 71.581% of the variance. Group comparisons showed that satisfaction with simulation training differed significantly across satisfaction to a college life and school record. Internal consistency reliability for all items was .945. For each sub-domain, the reliability coefficient was .929 for 'Debrief', .908 for 'Clinical learning and reflection', and .860 for 'Clinical reasoning'. Nursing students' mean satisfaction with simulation using the high-fidelity simulator was 3.92. Results of this study are expected to be used for evaluating the satisfaction of nursing college students receiving high-fidelity simulation education, and to serve as groundwork for the development and application of nursing simulation education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.1133-1136
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• 2005

The MPEG/audio standard results from three years of co-work by an international committe of high-fidelity audio compression experts in the Moving Picture Experts Group (MPEG/audio). The MPEG standard is rigid only where necessary to ensure interoperability. In this paper, a new approach of training and classification of acoustic signal is addressed. This is some what a fields of application aspects rather than technonical problems such as MPEG/codec, MIDI. In preprocessing, acoustic signal is transformmed using DWT so as to extract a feature parameters of sound such as loudness, pitch, bandwidth and harmonicity. these accoustic parameters are exploited to the input vector of neural perceptron. Experimental results showed that proposed approach can be used for tunning the dissonance chord.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.234-236
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• 2020

Content-adaptive training and transmission of the model parameters of neural networks can boost up the SR performance with higher restoration fidelity. In this case, efficient transmission of neural network parameters are essentially needed. Thus, we propose a novel method of compressing the network model parameters based on the training of network model parameters in the sense that the residues of filter parameters and content loss are jointly minimized. So, the residues of filter parameters are only transmitted to receiver sides for different temporal portions of video under consideration. This is advantage for image restoration applications with receivers (user terminals) of low complexity. In this case, the user terminals are assumed to have a limited computation and storage resource.

• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.1
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• pp.49-59
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• 2019

Generative adversarial networks(GANs) have received great attention in the machine learning field for their capacity to model high-dimensional and complex data distribution implicitly and generate new data samples from the model distribution. This paper investigates the model training methodology, architecture, and various applications of generative adversarial networks. Experimental evaluation is also conducted for generating synthetic image dataset for defense using two types of GANs. The first one is for military image generation utilizing the deep convolutional generative adversarial networks(DCGAN). The other is for visible-to-infrared image translation utilizing the cycle-consistent generative adversarial networks(CycleGAN). Each model can yield a great diversity of high-fidelity synthetic images compared to training ones. This result opens up the possibility of using inexpensive synthetic images for training neural networks while avoiding the enormous expense of collecting large amounts of hand-annotated real dataset.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1515-1521
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• 2014

This study applies simulation-based education and care for acute myocardial infarction nursing students to investigate the effect of critical thinking, problem solving, and academic achievement of a single group before and after the raw experimental design. A total of 137 subjects were arbitration period September-October 2011, enforcement and arbitration were evaluated after simulation-based training six weeks total. Data analysis was performed using SPSS Win17.0, Paired t-test, the mean and standard deviation, Pearson's correlation coefficient was used. Research results of simulation-based training program to improve critical thinking, problem solving, and academic achievement were As increase critical thinking and problem solving ability was improved. whereas, Critical thinking skills and problem solving ability was no significant difference with academic achievement. Simulation-based training program to improve the practical skills of nursing students learning was found how useful it, that there is a need to take advantage of hands-on training in a variety of cases that can be common in the field of clinical scenarios developed by. To do this, It seems to be necessary to the development and operation more varied and appropriate hands-on training method.

• Research in Community and Public Health Nursing
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• v.28 no.3
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• pp.324-333
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• 2017

Purpose: The purpose of this study was to develop a simulation module for teaching home health care and evaluate the applicability of the program to nursing students' practical training. Methods: The simulation module was developed based on the National League for Nursing Jeffries Simulation Theory. The theme of the developed scenario was teaching nasogastric tube feeding to the caregiver of patient with Parkinson disease. Participants were 61 nursing students who had learned tube feeding, and participated in the questionnaire survey after the simulation training. Results: The evaluation of simulation design showed the highest score on feedback/guided reflection, and was highly evaluated in the order of objectives/information, problem solving and fidelity. The educational practice of the simulation was highly evaluated in the order of active learning, high expectation and diversity of learning. The nursing students showed high satisfaction and self-confidence after the simulation education. Conclusion: We suggest that the developed simulation module can be applied to practical training for home health care. In the future, the change of self-efficacy, clinical judgment and performance ability of the students after the simulation education should be identified. Also, various simulation modules related to the community health nursing competencies should be continuously developed and verified.