Design on Light Geodesic Instrument Semi-Physical Simulation Training System Based on Virtual Scene

2014 ◽  
Vol 926-930 ◽  
pp. 1517-1521
Author(s):  
Xiang Jin Wang ◽  
Guo Dong Li ◽  
Zhi Lu Zhang ◽  
Zhe Li
Keyword(s):  
Real Time ◽  
Simulation Training ◽  
Physical Simulation ◽  
Low Cost ◽  
Three Dimensional ◽  
General Purpose ◽  
Training System ◽  
Time Data ◽  
Virtual Scene ◽  
Geodesic Instrument

This paper takes the light geodesic instrument as the research object, puts forward a design idea of the semi-physical simulation training system based on the virtual scene and realizes three-dimensional modeling, real-time scene drawing and real-time data driving display through Virtools and Visual C++. ARM7 and the general-purpose single-chip microcomputer are adopted to realize the function simulation of the equipment. This simulation training system has the characteristics of low cost, low power consumption and high simulation degree.

NPSNET: Flight Simulation Dynamic Modeling Using Quaternions

1992 ◽  
Vol 1 (4) ◽  
pp. 404-420 ◽  
Author(s):  
Joseph M. Cooke ◽  
Michael J. Zyda ◽  
David R. Pratt ◽  
Robert B. McGhee
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Three Dimensional ◽  
Euler Angle ◽  
General Purpose ◽  
Flight Simulation ◽  
High Data ◽  
Stability And Control ◽  
Data Rates ◽  
And Control

The Naval Postgraduate School (NPS) has actively explored the design and implementation of networked, real time, three-dimensional battlefield simulations on low-cost, commercially available graphics workstations. The most recent system, NPSNET, has improved in functionality to such an extent that it is considered a low-cost version of the Defense Advanced Research Project Agency's (DARPA) SIMNET system. To reach that level, it was necessary to economize in certain areas of the code so that real time performance occurred at an acceptable level. One of those areas was in aircraft dynamics. However, with “off-the-shelf” computers becoming faster and cheaper, real-time and realistic dynamics are no longer an expensive option. Realistic behavior can now be enhanced through the incorporation of an aerodynamic model. To accomplish this task, a prototype flight simulator was built that is capable of simulating numerous types of aircraft simultaneously within a virtual world. Besides being easily incorporated into NPSNET, such a simulator also provides the base functionality for the creation of a general purpose aerodynamic simulator that is particularly useful to aerodynamics students for graphically analyzing differing aircraft's stability and control characteristics. This system is designed for use on a Silicon Graphics workstation and uses the GL libraries. A key feature of the simulator is the use of quaternions for aircraft orientation representation to avoid singularities and high data rates associated with the more common Euler angle representation of orientation.

Interactive Visual Reality of the Offshore Hoisting Operation and Numerical Modeling

2018 ◽  
Vol 32 (08) ◽  
pp. 1855012
Author(s):  
Xiujun Xu ◽  
Zhen Li ◽  
Liquan Wang ◽  
Shaoming Yao ◽  
Xiaoming Fang
Keyword(s):  
Mathematical Model ◽  
Real Time ◽  
Physical Simulation ◽  
Three Dimensional ◽  
Accurate Solution ◽  
Simulation System ◽  
Time Data ◽  
Dynamic Positioning System ◽  
Visual Reality ◽  
Hoisting System

To establish an accurate real-time visual reality system for offshore hoisting operations, the “Offshore Oil 201” crane ship was employed as a background, and a mathematical model for hoisting operations was created with regard to the influence of ocean environment, the dynamic positioning system of the crane ship, the ballasting system based on the ship’s six degree of freedom (DOF) real-time feedback, and the manipulation of the control system. An interactive three-dimensional virtual scene was constructed with the virtual reality technique, multi-channel data interaction, real-time numerical calculation, and semi-physical simulation in order to realize the immersive feeling of the scenes. Bliss approximate integration was used to solve the mathematical model of the hoisting system and the real-time data interaction of the simulation system was realized on the basis of the accurate solution. The simulation results show that the simulation system can solve the time response of the hoisting system with good calculation accuracy. The preview of the construction project of the offshore hoisting operation can be implemented by the simulation system to investigate the key parameters and hoisting process, which will effectively reduce the risk of offshore hoisting operations and enhance the safety of the offshore engineering operations. The problem of high cost of staffs’ training has been solved, and the simulation system has both accuracy and instantaneity, the whole process of offshore hoisting is demonstrated with the highest authenticity.

scholarly journals Design of an IoT based Real Time Environment Monitoring System using Legacy Sensors

2018 ◽  
Vol 210 ◽  
pp. 03008
Author(s):  
Aparajita Das ◽  
Manash Pratim Sarma ◽  
Kandarpa Kumar Sarma ◽  
Nikos Mastorakis
Keyword(s):  
Air Pollution ◽  
Light Intensity ◽  
Real Time ◽  
Environmental Conditions ◽  
Low Cost ◽  
Environment Monitoring ◽  
Time Data ◽  
Graphical Information ◽  
Real Time Data ◽  
Sun Light

This paper describes the design of an operative prototype based on Internet of Things (IoT) concepts for real time monitoring of various environmental conditions using certain commonly available and low cost sensors. The various environmental conditions such as temperature, humidity, air pollution, sun light intensity and rain are continuously monitored, processed and controlled by an Arduino Uno microcontroller board with the help of several sensors. Captured data are broadcasted through internet with an ESP8266 Wi-Fi module. The projected system delivers sensors data to an API called ThingSpeak over an HTTP protocol and allows storing of data. The proposed system works well and it shows reliability. The prototype has been used to monitor and analyse real time data using graphical information of the environment.

scholarly journals Application of Multiparametric Intraoperative Ultrasound in Glioma Surgery

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Ji Shi ◽  
Ye Zhang ◽  
Bing Yao ◽  
Peixin Sun ◽  
Yuanyuan Hao ◽  
...  
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Three Dimensional ◽  
Intraoperative Ultrasound ◽  
Ultrasound Elastography ◽  
Primary Malignancy ◽  
Glioma Surgery ◽  
Attractive Option ◽  
Ultrasound Technology ◽  
Shape Descriptions

Gliomas are the most invasive and fatal primary malignancy of the central nervous system that have poor prognosis, with maximal safe resection representing the gold standard for surgical treatment. To achieve gross total resection (GTR), neurosurgery relies heavily on generating continuous, real-time, intraoperative glioma descriptions based on image guidance. Given the limitations of currently available equipment, developing a real-time image-guided resection technique that provides reliable functional and anatomical information during intraoperative settings is imperative. Nowadays, the application of intraoperative ultrasound (IOUS) has been shown to improve resection rates and maximize brain function preservation. IOUS, which presents an attractive option due to its low cost, minimal operational flow interruptions, and lack of radiation exposure, is able to provide real-time localization and accurate tumor size and shape descriptions while helping distinguish residual tumors and addressing brain shift. Moreover, the application of new advancements in ultrasound technology, such as contrast-enhanced ultrasound, three-dimensional ultrasound, navigable ultrasound, ultrasound elastography, and functional ultrasound, could help to achieve GTR during glioma surgery. The current review describes current advancements in ultrasound technology and evaluates the role and limitation of IOUS in glioma surgery.

AN EVALUATION OF MULTIPLE FEED-FORWARD NETWORKS ON GPUs

2011 ◽  
Vol 21 (01) ◽  
pp. 31-47 ◽  
Author(s):  
NOEL LOPES ◽  
BERNARDETE RIBEIRO
Keyword(s):  
Graphics Processing Unit ◽  
Parallel Implementation ◽  
Low Cost ◽  
Back Propagation ◽  
General Purpose ◽  
Training System ◽  
Graphics Hardware ◽  
Processing Unit ◽  
Data Parallel ◽  
Graphics Processing

The Graphics Processing Unit (GPU) originally designed for rendering graphics and which is difficult to program for other tasks, has since evolved into a device suitable for general-purpose computations. As a result graphics hardware has become progressively more attractive yielding unprecedented performance at a relatively low cost. Thus, it is the ideal candidate to accelerate a wide variety of data parallel tasks in many fields such as in Machine Learning (ML). As problems become more and more demanding, parallel implementations of learning algorithms are crucial for a useful application. In particular, the implementation of Neural Networks (NNs) in GPUs can significantly reduce the long training times during the learning process. In this paper we present a GPU parallel implementation of the Back-Propagation (BP) and Multiple Back-Propagation (MBP) algorithms, and describe the GPU kernels needed for this task. The results obtained on well-known benchmarks show faster training times and improved performances as compared to the implementation in traditional hardware, due to maximized floating-point throughput and memory bandwidth. Moreover, a preliminary GPU based Autonomous Training System (ATS) is developed which aims at automatically finding high-quality NNs-based solutions for a given problem.

The Application of Real-Time Monitor System Based on 3D Visualization Technology

2013 ◽  
Vol 373-375 ◽  
pp. 888-891
Author(s):  
Fang Liu ◽  
Wei Tong ◽  
Zhi Jun Qian ◽  
Yu Hong Dong
Keyword(s):  
Real Time ◽  
Virtual Environment ◽  
3D Visualization ◽  
Laboratory Model ◽  
Monitor System ◽  
Time Data ◽  
Virtual Scene ◽  
The Real ◽  
Real Time Data ◽  
Visualization Technology

This paper introduced the laboratory model of Real-time monitor system based on the 3D Visualization for calefaction furnace, depicted the process of the model.In this paper we created a virtual environment and transport the real-time data which we collected from the locale to the virtual scene,to realize the real time monitor on the real environment.Through simulating in the lab,the effect of this system was realistic at the same time it arrived at the goal of better monitoring with better real-time.

scholarly journals Semantic Traffic Sensor Data: The TRAFAIR Experience

2020 ◽  
Vol 10 (17) ◽  
pp. 5882
Author(s):  
Federico Desimoni ◽  
Sergio Ilarri ◽  
Laura Po ◽  
Federica Rollo ◽  
Raquel Trillo-Lado
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Smart Cities ◽  
Low Cost ◽  
Semantic Annotation ◽  
Open Data ◽  
Transportation Systems ◽  
Sensor Data ◽  
Time Data ◽  
Future Evolution

Modern cities face pressing problems with transportation systems including, but not limited to, traffic congestion, safety, health, and pollution. To tackle them, public administrations have implemented roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. In the case of traffic sensor data not only the real-time data are essential, but also historical values need to be preserved and published. When real-time and historical data of smart cities become available, everyone can join an evidence-based debate on the city’s future evolution. The TRAFAIR (Understanding Traffic Flows to Improve Air Quality) project seeks to understand how traffic affects urban air quality. The project develops a platform to provide real-time and predicted values on air quality in several cities in Europe, encompassing tasks such as the deployment of low-cost air quality sensors, data collection and integration, modeling and prediction, the publication of open data, and the development of applications for end-users and public administrations. This paper explicitly focuses on the modeling and semantic annotation of traffic data. We present the tools and techniques used in the project and validate our strategies for data modeling and its semantic enrichment over two cities: Modena (Italy) and Zaragoza (Spain). An experimental evaluation shows that our approach to publish Linked Data is effective.

scholarly journals Integration of an MES and AIV Using a LabVIEW Middleware Scheduler Suitable for Use in Industry 4.0 Applications

2020 ◽  
Vol 10 (20) ◽  
pp. 7054 ◽  
Author(s):  
Muzaffar Rao ◽  
Liam Lynch ◽  
James Coady ◽  
Daniel Toal ◽  
Thomas Newe
Keyword(s):  
Real Time ◽  
Industry 4.0 ◽  
Low Cost ◽  
Intelligent Vehicles ◽  
Current Status ◽  
Main Task ◽  
Time Data ◽  
Manufacturing Execution Systems ◽  
Product Delivery ◽  
Real Time Information

Industry 4.0 uses the analysis of real-time data, artificial intelligence, automation, and the interconnection of components of the production lines to improve manufacturing efficiency and quality. Manufacturing Execution Systems (MESs) and Autonomous Intelligent Vehicles (AIVs) are key elements of Industry 4.0 implementations. An MES connects, monitors, and controls data flows on the factory floor, while automation is achieved by using AIVs. The Robot Operating System (ROS) built AIVs are targeted here. To facilitate MES and AIV interactions, there is a need to integrate the MES and the AIVs to help in building an automated and interconnected manufacturing environment. This integration needs middleware, which understands both MES and AIVs. To address this issue, a LabVIEW-based scheduler is proposed here as the middleware. LabVIEW communicates with the MES through webservices and has support for ROS. The main task of the scheduler is to control the AIV based on MES requests. The scheduler developed was tested in a real factory environment using the SAP MES and a Robotnik ‘RB-1′ robot. The scheduler interface provides real-time information about the current status of the MES, AIV, and the current stage of scheduler processing. The proposed scheduler provides an efficient automated product delivery system that transports the product from process cell to process cell using the AIV, based on the production sequences defined by the MES. In addition, using the proposed scheduler, integration of an MES is possible with any low-cost ROS-built AIV.

Research and Development on 3D Simulation Training Evaluation System of Substation Based on Unity3D

2015 ◽  
Vol 727-728 ◽  
pp. 987-990 ◽  
Author(s):  
Hao Zhong ◽  
Xu Chen ◽  
Wen Qian Shu ◽  
Xiao Dong Chen
Keyword(s):  
Mathematical Modeling ◽  
3D Modeling ◽  
Evaluation System ◽  
Simulation Training ◽  
Training Evaluation ◽  
Three Dimensional ◽  
Training System ◽  
Two Dimensional ◽  
Operation And Maintenance ◽  
Maintenance Personnel

In order to make training for the substation operation and maintenance personnel professional skills more effectivethis paper has designed a three-dimensional substation simulation training system based on Unity3d.In this paper,a variety of virtual scenes of the substation are studied,designed a 3Dsimulation training system of substation based on operation and maintenance personnel behavior. Framework of system comprises two-dimensional mathematical modeling, 3D modeling, development and release of platform.

An Explicit Non-Real Time Data Reduction Method of Triple Sensors Hot-Wire Anemometer in Three-Dimensional Flow

1988 ◽  
Vol 110 (2) ◽  
pp. 110-119 ◽  
Author(s):  
Y. T. Chew ◽  
R. L. Simpson
Keyword(s):  
Real Time ◽  
Three Dimensional ◽  
Computation Time ◽  
Reynolds Stresses ◽  
Hot Wire ◽  
Time Data ◽  
Three Dimensional Flow ◽  
Mean Velocity ◽  
Dimensional Flow ◽  
The Mean

An explicit non-real time method of reducing triple sensor hot-wire anenometer data to obtain the three mean velocity components and six Reynolds stresses, as well as their turbulence spectra in three-dimensional flow is proposed. Equations which relate explicitly the mean velocity components and Reynolds stresses in laboratory coordinates to the mean and mean square sensors output voltages in three stages are derived. The method was verified satisfactorily by comparison with single sensor hot-wire anemometer measurements in a zero pressure gradient incompressible turbulent boundary layer flow. It is simple and requires much lesser computation time when compared to other implicit non-real time method.

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