Virtual Experiment Environment Research Articles

Study on the requirements for virtual traffic experimental environment for prior evaluation of traffic operation policy including automated vehicles in expressways

Study on the requirements for virtual traffic experimental environment for prior evaluation of traffic operation policy including automated vehicles in expressways

A virtual experiment for partial space elevator using a novel high-fidelity FE model

This paper developed a high-fidelity virtual experiment for a partial space elevator using nodal position finite element method with arbitrary Lagrangian–Eulerian description. The new method is designed to test the effectiveness of the optimal control strategies derived from a simplified two-piece dumbbell model for the orbital transfer of a partial space elevator. In the current work, the partial space elevator is modeled by the nodal position finite element method with arbitrary Lagrangian–Eulerian description. A novel technique is introduced to describe the movement of the climber along the tether by variable-length elements. The optimal trajectory of the climber’s velocity is derived from the optimal control and then is input to the finite element model to conduct a virtual experiment. The dynamic responses of the elevator resulted from the newly proposed finite element approach and the widely used simple approach are in good agreement. It shows the newly developed nodal position finite element method with arbitrary Lagrangian–Eulerian description is high fidelity, which can provide an effective virtual experimental environment to verify the effectiveness of libration control strategies based on the simplified two-piece dumbbell model.

Virtual Reality Experiments with Physiological Measures.

Virtual reality (VR) experiments are increasingly employed because of their internal and external validity compared to real-world observation and laboratory experiments, respectively. VR is especially useful for geographic visualizations and investigations of spatial behavior. In spatial behavior research, VR provides a platform for studying the relationship between navigation and physiological measures (e.g., skin conductance, heart rate, blood pressure). Specifically, physiological measures allow researchers to address novel questions and constrain previous theories of spatial abilities, strategies, and performance. For example, individual differences in navigation performance may be explained by the extent to which changes in arousal mediate the effects of task difficulty. However, the complexities in the design and implementation of VR experiments can distract experimenters from their primary research goals and introduce irregularities in data collection and analysis. To address these challenges, the Experiments in Virtual Environments (EVE) framework includes standardized modules such as participant training with the control interface, data collection using questionnaires, the synchronization of physiological measurements, and data storage. EVE also provides the necessary infrastructure for data management, visualization, and evaluation. The present paper describes a protocol that employs the EVE framework to conduct navigation experiments in VR with physiological sensors. The protocol lists the steps necessary for recruiting participants, attaching the physiological sensors, administering the experiment using EVE, and assessing the collected data with EVE evaluation tools. Overall, this protocol will facilitate future research by streamlining the design and implementation of VR experiments with physiological sensors.

Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection

Online Experimentation, which comprises remote and virtual experimentation, has played an important role, over the years, in the development of the students learning process. One of its examples is the use of web-based resources to study physiological events in topics of biomedical engineering. This article discusses the use of a virtual experimentation environment as a training tool for studying different methodologies that can be applied to detect drowsiness based on electroencephalogram (EEG) signals. As a result of this web-based platform, students can be more motivated to learn different methods that can be used in the processing and analysis of physiological data. As a final result, it can even be used to create a real-time detector for drowsiness, thus preventing the occurrence of road accidents.

Study on the requirements for virtual traffic experimental environment for prior evaluation of traffic operation policy in expressways

Study on the requirements for virtual traffic experimental environment for prior evaluation of traffic operation policy in expressways

Study on Issues of Visual and Other Reproducibility in Virtual Traffic Experimental Environment under Normal and Abnormal Conditions

Study on Issues of Visual and Other Reproducibility in Virtual Traffic Experimental Environment under Normal and Abnormal Conditions

Remote Operation SW for USV: Part II. Simulation Development

For contingencies occurring in a complex marine environment, Unmanned Surface Vehicle (USV) has to recognize the situation and decide behaviors, and plan the following actions through the Integrated Mission Planning Process. Therefore, researches are actively being carried out about it. However, since it is difficult to test the actual USV with the mission planning process, it is necessary to develop a virtual experimental environment based on Modeling & Simulation (M&S). In this study, we developed an integrated simulation environment capable of simulating and analyzing the overall mission of USV. In Part I, we modelled the USV Integrated Mission Planning Process and in Part II, we developed an experimental framework and interface for loading them. In addition, we verified the suitability of this model through scenarios and defined the Mission of Effectiveness (MOE) concept for USV mission analysis.

VR/AR 技術を用いたHMD 型仮想化学実験学習支援環境

VR/AR 技術を用いたHMD 型仮想化学実験学習支援環境

VGLS: A virtual geophysical laboratory system based on C# and viustools and its application for geophysical education

ABSTRACTIt is not hard to find that the forms of traditional education have limitations. The Virtual Laboratory is to provide a virtual experimental environment to the users via computers in controlling engineering by resorting to the virtual reality technology. It was famous for helping students study the complex process of experiments as well as saving time and cost. Therefore, in the new century, it has become more popular as a means of education. In this paper, we present a virtual geophysical laboratory system (VGLS) based on C#, Viustools, and database technology which can make geophysical education more efficient and effective. Besides, practice has proved that VGLS is a kind of flexible, convenient, and interactive system which can help the users understand and master the laboratory equipment and experimental procedures as well as enhance the efficiency of teaching and learning. In general, it was a practical platform that can be an alternative means of traditional experiments in education which can also meet the requirements of geophysical education. © 2017 Wiley Periodicals, Inc. Comput Appl Eng Educ 25:335–344, 2017; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21801

Development of AR Based Virtual Experiment Environment for Inorganic Chemistry Using a Smartphone

Development of AR Based Virtual Experiment Environment for Inorganic Chemistry Using a Smartphone

SIMEDIS: a Discrete-Event Simulation Model for Testing Responses to Mass Casualty Incidents.

It is recognized that the study of the disaster medical response (DMR) is a relatively new field. To date, there is no evidence-based literature that clearly defines the best medical response principles, concepts, structures and processes in a disaster setting. Much of what is known about the DMR results from descriptive studies and expert opinion. No experimental studies regarding the effects of DMR interventions on the health outcomes of disaster survivors have been carried out. Traditional analytic methods cannot fully capture the flow of disaster victims through a complex disaster medical response system (DMRS). Computer modelling and simulation enable to study and test operational assumptions in a virtual but controlled experimental environment. The SIMEDIS (Simulation for the assessment and optimization of medical disaster management) simulation model consists of 3 interacting components: the victim creation model, the victim monitoring model where the health state of each victim is monitored and adapted to the evolving clinical conditions of the victims, and the medical response model, where the victims interact with the environment and the resources at the disposal of the healthcare responders. Since the main aim of the DMR is to minimize as much as possible the mortality and morbidity of the survivors, we designed a victim-centred model in which the casualties pass through the different components and processes of a DMRS. The specificity of the SIMEDIS simulation model is the fact that the victim entities evolve in parallel through both the victim monitoring model and the medical response model. The interaction between both models is ensured through a time or medical intervention trigger. At each service point, a triage is performed together with a decision on the disposition of the victims regarding treatment and/or evacuation based on a priority code assigned to the victim and on the availability of resources at the service point. The aim of the case study is to implement the SIMEDIS model to the DMRS of an international airport and to test the medical response plan to an airplane crash simulation at the airport. In order to identify good response options, the model then was used to study the effect of a number of interventional factors on the performance of the DMRS. Our study reflects the potential of SIMEDIS to model complex systems, to test different aspects of DMR, and to be used as a tool in experimental research that might make a substantial contribution to provide the evidence base for the effectiveness and efficiency of disaster medical management.Electronic supplementary materialThe online version of this article (doi:10.1007/s10916-016-0633-z) contains supplementary material, which is available to authorized users.

Digital evaluation of sitting posture comfort in human-vehicle system under industry 4.0 framework

Most of the previous studies on the vibration ride comfort of the human-vehicle system were focused only on one or two aspects of the investigation. A hybrid approach which integrates all kinds of investigation methods in real environment and virtual environment is described. The real experimental environment includes the WBV(whole body vibration) test, questionnaires for human subjective sensation and motion capture. The virtual experimental environment includes the theoretical calculation on simplified 5-DOF human body vibration model, the vibration simulation and analysis within ADAMS/VibrationTM module, and the digital human biomechanics and occupational health analysis in Jack software. While the real experimental environment provides realistic and accurate test results, it also serves as core and validation for the virtual experimental environment. The virtual experimental environment takes full advantages of current available vibration simulation and digital human modelling software, and makes it possible to evaluate the sitting posture comfort in a human-vehicle system with various human anthropometric parameters. How this digital evaluation system for car seat comfort design is fitted in the Industry 4.0 framework is also proposed.

Web Based Nano-Materials Design Platform for Li Ion Battery

Owing to the rapid increase in computing power and successful development of the computation methodology, molecular level simulation has driven new paradigm of materials research. We developed web-based materials design platform for Li ion battery, which would significantly reduce the entrance barrier for the multiscale simulation. The platform provides the virtual experiment environment based on the multi-scale simulation technologies ranging from ab initio calculation, molecular dynamics, phase field modeling to continuum simulation. We made the platform to mimic the experimental work flow as closely as possible, which can be distinguished from the existing material design platforms. The platform is composed of 5 modules for the virtual experiments of anode, cathode, electrolyte, solid-electrolyte interface (SEI) and reliability of the materials. In the present talk, the basic concept of platform will be introduced with brief demonstration of the platform. Challenging issues for the progress of the platform will be discussed. Figure 1

Design and key techniques of a collaborative virtual flood experiment that integrates cellular automata and dynamic observations

With the development of computer science, communications technology and environmental modeling, virtual geographic environments (VGEs) have been linked with field observations and geographic modeling. VGEs enable researchers in various fields to collaboratively perform computer-aided geographic experiments. This study proposes a collaborative environment to conduct a virtual flood experiment that integrates cellular automata and dynamic observations. Some of the key techniques, including a cellular automata flood modeling method, a real-time parameter similarity evaluation method, and a collaborative visualization and operation method, are explored. The proposed techniques are tested with a prototype system as part of a flood simulation case study of the Hunhe River in Liaoning Province. We conclude that a virtual experiment environment can provide effective technical support for flood research.

Real-time virtual EAST physical experiment system

As a large fusion reaction device, experimental advanced superconducting tokamak (EAST)’s internal structure is complicated and not easily accessible. Moreover, various diagnostic systems and complicated configuration bring about the inconveniency to the scientists who are unfamiliar with the system but interested in the data. We propose a virtual system to display the 3D model of EAST facility and enable people to view its inner structure and get access to the information of its components in various view sights. We would also provide most of the diagnostic configuration details together with their signal names and physical properties. Compared to the previous ways of viewing information by reference to collected drawings and videos, virtual EAST system is more interactive and immersive. We constructed the browser-oriented virtual EAST physical experiment system, integrated real-time experiment data acquisition, plasma shape visualization and experiment result simulation in order to reproduce physical experiments in a web browser. This system used B/S (Browser/Server) structure in combination with the technology of virtual reality – VRML (Virtual Reality Modeling Language) and Java 3D. In order to avoid the bandwidth limit across internet, we balanced the rendering speed and the precision of the virtual model components. Any registered user can view the experimental information visually and efficiently by logining the system through a web browser. The establishment of the system provides the framework basis for a comprehensive virtual EAST cooperative physical experimental environment.

The Description and Analysis of Remote Network Virtual Laboratory

The fast development and improvement of remote network education provides a higher demand for the large construction of education resource, and experiments teaching are the most important method of practice teaching. In this paper, it talks about the model, the key technology and the solution method of the remote distributed virtual laboratory. Meantime, it proves that this project can’t only provide a software environment for remote network virtual experiments, but also can improve the condition of experiment and provide a learning, practice and innovation technology platform.

The Design of Multi-Level Interrupt Virtual Experiment Based on Object-Oriented

The virtual reality technology is a three-dimensional virtual environment composed by computer hardware, software and various of sensors. It creates an unprecedented wealth of content and more fantastic teaching environment which reflects strong advantage in experiment and practice. In accordance with the needs of experiment teaching, multi-level interrupt virtual experiment environment is studied combining with the characteristics of its principle. The experiment environment is based on Tec-xp test box designed and developed by Tsinghua University computer factory. Microsoft Visual C++6.0 language is adopted for software platform development. Seen from the system needs analysis, object-oriented simulation method is adopted for modeling in this experiment environment. Meanwhile combining with computer system features and the characteristics of Computer Organization Principle teaching, the basic theory and methods of discrete event system simulation are used, which make the operation of virtual environment the same as on real device.

Providing Students Hints and Detecting Mistakes Made by Students in a Virtual Experiment Environment

This study models a virtual experiment environment (VEE) by adopting the Petri net theory. Petri net-based VEE can record the experimental activity processes of students and evaluate the students' learning abilities. Petri nets can be used as visual-communication aids, and are similar to flow charts, block diagrams, and networks. Consequently, the experimental steps can be easily transferred to the Petri net model. Analysis of the collected data with the Petri net model indicates that errors made by students during experiments can be categorized into two major types, namely, measuring and procedural errors. This work implements a Petri net-based VEE for physics experiments. A total of 72 third-year junior high school students participated in this research. Both pretesting and posttesting are performed to ensure that the Petri net-enhanced VEE is useful.

Virtual Experimental Environment to Support Learning by Designing Physical Experiment

Virtual Experimental Environment to Support Learning by Designing Physical Experiment

Walking by Thinking: The Brainwaves Are Crucial, Not the Muscles!

Healthy participants are able to move forward within a virtual environment (VE) by the imagination of foot movement. This is achieved by using a brain-computer interface (BCI) that transforms thought-modulated electroencephalogram (EEG) recordings into a control signal. A BCI establishes a communication channel between the human brain and the computer. The basic principle of the Graz-BCI is the detection and classification of motor-imagery-related EEG patterns, whereby the dynamics of sensorimotor rhythms are analyzed. A BCI is a closed-loop system and information is visually fed back to the user about the success or failure of an intended movement imagination. Feedback can be realized in different ways, from a simple moving bar graph to navigation in VEs. The goals of this work are twofold: first, to show the influence of different feedback types on the same task, and second, to demonstrate that it is possible to move through a VE (e.g., a virtual street) without any muscular activity, using only the imagination of foot movement. In the presented work, data from BCI feedback displayed on a conventional monitor are compared with data from BCI feedback in VE experiments with a head-mounted display (HMD) and in a high immersive projection environment (Cave). Results of three participants are reported to demonstrate the proof-of-concept. The data indicate that the type of feedback has an influence on the task performance, but not on the BCI classification accuracy. The participants achieved their best performances viewing feedback in the Cave. Furthermore the VE feedback provided motivation for the subjects.