Using a Virtual Platform for Conducting Grandfamily Research

2022 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
MinKyoung Song ◽  
Hannah Bessette ◽  
Laura L. Hayman ◽  
Karen S. Lyons ◽  
Kerri Winters-Stone ◽  
...  
Keyword(s):  
Virtual Platform

Genome-Scale Metabolic Model as a Virtual Platform to Reveal the Environmental Contribution of Methanogens

2017 ◽  
Vol 6 (2) ◽  
pp. 149-160 ◽  
Author(s):  
P. Chellapandi ◽  
M. Bharathi ◽  
R. Prathiviraj ◽  
R. Sasikala ◽  
M. Vikraman
Keyword(s):  
Metabolic Model ◽  
Environmental Contribution ◽  
Virtual Platform ◽  
Genome Scale

scholarly journals Experiment Information System Based on an Online Virtual Laboratory

2021 ◽  
Vol 13 (2) ◽  
pp. 27
Author(s):  
Chuanyan Hao ◽  
Anqi Zheng ◽  
Yuqi Wang ◽  
Bo Jiang
Keyword(s):  
Information System ◽  
Online Courses ◽  
Teaching Strategy ◽  
Information Age ◽  
Digital Circuit ◽  
Virtual Laboratory ◽  
Control Group ◽  
Virtual Technology ◽  
Design Concepts ◽  
Virtual Platform

In the information age, MOOCs (Massive Open Online Courses), micro-classes, flipping classroom, and other blended teaching scenes have improved students learning outcomes. However, incorporating technologies into experimental courses, especially electronic and electrical experiments, has its own characteristics and difficulties. The focus of this paper is to introduce virtual technology into an electronic circuit experiment course and to explore its teaching strategy, thereby realizing the informatization of experiment teaching. First, this paper explores the design concepts and implementation details of the digital circuit virtual laboratory, which is then developed based on previous literature and a prequestionnaire to users. Second, the informatization process of the experiment learning model based on traditional custom lab benches is shown through a blended learning scheme that integrates the online virtual laboratory. Finally, the experiment information system is verified and analyzed with a control group experiment and questionnaires. The blended program turned out to be an effective teaching model to complement the deficiencies in existing physical laboratories. The research conclusions show that the virtual experiment system provides students with a rich, efficient, and expansive experimental experience, in particular, the flexibility, repeatability, and visual appeal of a virtual platform could promote the development of students’ abilities in active learning, reflective thinking, and creativity.

Webside manner: maskless communication

Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ankit Mehta ◽  
Benji K. Mathews
Keyword(s):  
Communication Skills ◽  
Rapid Expansion ◽  
Technical Aspects ◽  
The Core ◽  
Core Elements ◽  
Virtual Visits ◽  
Virtual Platform ◽  
Structured Approach

Abstract Telemedicine has seen a rapid expansion lately, with virtual visits ushering in telediagnosis. Given the shift in the interpersonal and technical aspects of communications in a virtual visit, it is prudent to understand its effect on the patient-provider relationships. A range of interpersonal and communication skills can be utilized during telemedicine consultations in establishing relationships, and reaching a diagnosis. We propose a construct of “webside manner,” a structured approach to ensure the core elements of bedside etiquette are translated into the virtual encounter. This approach entails the totality of any interpersonal exchange on a virtual platform, to ensure a clinician’s presence, empathy and compassion is translated through this medium.

scholarly journals ARINC653 Channel Robustness Verification Using LeonViP-MC, a LEON4 Multicore Virtual Platform

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1179
Author(s):  
Jonatan Sánchez ◽  
Antonio da Silva ◽  
Pablo Parra ◽  
Óscar R. Polo ◽  
Agustín Martínez Hellín ◽  
...  
Keyword(s):  
Fault Tolerance ◽  
Architectural Design ◽  
Fault Injection ◽  
Control Unit ◽  
Tolerance Mechanisms ◽  
Efficient Data ◽  
Instrument Control ◽  
Virtual Platform ◽  
Hardware Platforms ◽  
The University

Multicore hardware platforms are being incorporated into spacecraft on-board systems to achieve faster and more efficient data processing. However, such systems lead to increased complexity in software development and represent a considerable challenge, especially concerning the runtime verification of fault-tolerance requirements. To address the ever-challenging verification of this kind of requirement, we introduce a LEON4 multicore virtual platform called LeonViP-MC. LeonViP-MC is an evolution of a previous development called Leon2ViP, carried out by the Space Research Group of the University of Alcalá (SRG-UAH), which has been successfully used in the development and testing of the flight software of the instrument control unit (ICU) of the energetic particle detector (EPD) on board the Solar Orbiter. This paper describes the LeonViP-MC architectural design decisions oriented towards fault-injection campaigns to verify software fault-tolerance mechanisms. To validate the simulator, we developed an ARINC653 communications channel that incorporates fault-tolerance mechanisms and is currently being used to develop a hypervisor level for the GR740 platform.

MCVP-NoC: Many-Core Virtual Platform with Networks-on-Chip support

2013 ◽  
Author(s):  
Dexue Zhang ◽  
Xiaoyang Zeng ◽  
Zongyan Wang ◽  
Weike Wang ◽  
Xinhua Chen
Keyword(s):  
Networks On Chip ◽  
Virtual Platform ◽  
On Chip ◽  
Many Core

scholarly journals RISC-V Virtual Platform-Based Convolutional Neural Network Accelerator Implemented in SystemC

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1514
Author(s):  
Seung-Ho Lim ◽  
WoonSik William Suh ◽  
Jin-Young Kim ◽  
Sang-Young Cho
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Deep Neural Network ◽  
System Level ◽  
Neural Network Models ◽  
Data Set ◽  
Embedded Device ◽  
Virtual Platform

The optimization for hardware processor and system for performing deep learning operations such as Convolutional Neural Networks (CNN) in resource limited embedded devices are recent active research area. In order to perform an optimized deep neural network model using the limited computational unit and memory of an embedded device, it is necessary to quickly apply various configurations of hardware modules to various deep neural network models and find the optimal combination. The Electronic System Level (ESL) Simulator based on SystemC is very useful for rapid hardware modeling and verification. In this paper, we designed and implemented a Deep Learning Accelerator (DLA) that performs Deep Neural Network (DNN) operation based on the RISC-V Virtual Platform implemented in SystemC in order to enable rapid and diverse analysis of deep learning operations in an embedded device based on the RISC-V processor, which is a recently emerging embedded processor. The developed RISC-V based DLA prototype can analyze the hardware requirements according to the CNN data set through the configuration of the CNN DLA architecture, and it is possible to run RISC-V compiled software on the platform, can perform a real neural network model like Darknet. We performed the Darknet CNN model on the developed DLA prototype, and confirmed that computational overhead and inference errors can be analyzed with the DLA prototype developed by analyzing the DLA architecture for various data sets.

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