Development of the real-time visualization system on network

The real-time visualization of vector maps is the most common function in CyberGIS, and it is timeconsuming, especially as the data volume becomes larger. How to improve the efficiency of visualization of large vector maps is still a significant research direction for GIS scientists. In this research, we point out that parallel optimization is appropriate for the real-time visualization of large vector maps. The main purpose of this research is to investigate a balanced decomposition approach which can balance the load of each server node in a CyberGIS cluster environment. The load balancer analyzes the spatial characteristics of the map requests and decomposes the real-time viewshed into multiple balanced sub viewsheds, so as to balance the load of all the server nodes in the cluster environment. The test results demonstrate that the approach proposed in this research has the ability to balance the load in CyberGIS cluster environment.

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Development of Automatic Analysis and Data Visualization System for Volcano Muography

Journal of Disaster Research ◽

10.20965/jdr.2020.p0203 ◽

2020 ◽

Vol 15 (2) ◽

pp. 203-211

Author(s):

Hiroyuki K. M. Tanaka ◽

Keyword(s):

Real Time ◽

Data Visualization ◽

Automatic Analysis ◽

Visualization System ◽

Technological Developments ◽

Real Time Visualization ◽

Time Required

Technological developments in muography have evolved since the first volcano was imaged with muography in 2007. In order to improve the muography technique as a more useful aid to volcano studies, there is a need for the time required to show the resultant images to be shortened. To expedite this process, an automatic real-time visualization system was developed and tested. In conjunction with future scaled-up detectors that will collect muons faster, this visualization system can also offer more practical and efficient tools for volcano muography.

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A novel hydroxyl-containing polyimide as a colorimetric and ratiometric chemosensor for the reversible detection of fluoride ions

Polymer Chemistry ◽

10.1039/c8py01697f ◽

2019 ◽

Vol 10 (11) ◽

pp. 1399-1406 ◽

Cited By ~ 6

Author(s):

Yancheng Wu ◽

Chuqi Shi ◽

Zhigeng Chen ◽

Yubin Zhou ◽

Shumei Liu ◽

...

Keyword(s):

Real Time ◽

High Selectivity ◽

Polyimide Film ◽

Fluoride Ions ◽

The Real ◽

Real Time Visualization

A novel hydroxyl-containing polyimide film has been designed and fabricated as a chemosensor for the real-time visualization of F− with high selectivity and sensitivity.

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Student real-time visualization system in classroom using RFID based on UTAUT model

International Journal of Information and Learning Technology ◽

10.1108/ijilt-03-2017-0018 ◽

2017 ◽

Vol 34 (3) ◽

pp. 274-288 ◽

Cited By ~ 5

Author(s):

Raja Jamilah Raja Yusof ◽

Atika Qazi ◽

Irum Inayat

Keyword(s):

Real Time ◽

Radio Frequency Identification ◽

Content Type ◽

Visualization System ◽

Utaut Model ◽

Use Of Technology ◽

Real Time Visualization ◽

Frequency Identification ◽

Facilitating Conditions ◽

Locating System

Purpose The purpose of this paper is to monitor in-class activities and the performance of the students. Design/methodology/approach A pilot study was conducted to evaluate the proposed system using a questionnaire with 132 participants (teachers and non-teachers) in a presentation style to record the participant’s perception about performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), usability expectancy (UE) and user’s satisfaction (S) based on unified theory of acceptance use of technology (UTAUT) model. Findings The results show that PE, EE, FC had positive and significant influence on the UE of the proposed system. The effect of EE and FC on UE was seen to be more in female compared to male participants. The teacher category considered the PE and EE as important factors in determining their decision to use the proposed system. Originality/value A real-time student(s) visualization system based on the concept of real-time student locating system using radio frequency identification technology is proposed. Concepts can be categorized within the Internet of Things in the education domain.

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Development of the Real-Time Plasma Shape Visualization System in JT60-U

Journal of Plasma and Fusion Research ◽

10.1585/jspf.75.186 ◽

1999 ◽

Vol 75-CD (10_CD) ◽

pp. 186-200

Author(s):

Kenichi KURIHARA ◽

Youichi KAWAMATA ◽

Kenichi AKIBA ◽

Hironori ADACHI ◽

Yoshiyuki HOSHI ◽

...

Keyword(s):

Real Time ◽

Visualization System ◽

The Real

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Real-Time Visualization of Cellulase Activity by Microorganisms on Surface

International Journal of Molecular Sciences ◽

10.3390/ijms21186593 ◽

2020 ◽

Vol 21 (18) ◽

pp. 6593

Author(s):

Pallavi Kumari ◽

Tali Sayas ◽

Patricia Bucki ◽

Sigal Brown-Miyara ◽

Maya Kleiman

Keyword(s):

Real Time ◽

Plant Root ◽

Model Organism ◽

Cellulase Activity ◽

Root Surface ◽

Plant Roots ◽

Root Knot Nematode ◽

The Real ◽

Cellulase Secretion ◽

Real Time Visualization

A variety of methods to detect cellulase secretion by microorganisms has been developed over the years, none of which enables the real-time visualization of cellulase activity on a surface. This visualization is critical to study the interaction between soil-borne cellulase-secreting microorganisms and the surface of plant roots and specifically, the effect of surface features on this interaction. Here, we modified the known carboxymethyl cellulase (CMC) hydrolysis visualization method to enable the real-time tracking of cellulase activity of microorganisms on a surface. A surface was formed using pure CMC with acridine orange dye incorporated in it. The dye disassociated from the film when hydrolysis occurred, forming a halo surrounding the point of hydrolysis. This enabled real-time visualization, since the common need for post hydrolysis dyeing was negated. Using root-knot nematode (RKN) as a model organism that penetrates plant roots, we showed that it was possible to follow microorganism cellulase secretion on the surface. Furthermore, the addition of natural additives was also shown to be an option and resulted in an increased RKN response. This method will be implemented in the future, investigating different microorganisms on a root surface microstructure replica, which can open a new avenue of research in the field of plant root–microorganism interactions.

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SmartCube: An Adaptive Data Management Architecture for the Real-Time Visualization of Spatiotemporal Datasets

IEEE Transactions on Visualization and Computer Graphics ◽

10.1109/tvcg.2019.2934434 ◽

2019 ◽

pp. 1-1

Author(s):

Can Liu ◽

Cong Wu ◽

Hanning Shao ◽

Xiaoru Yuan

Keyword(s):

Data Management ◽

Real Time ◽

The Real ◽

Management Architecture ◽

Real Time Visualization

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A Mobile Augmented Reality System for the Real-Time Visualization of Pipes in Point Cloud Data with a Depth Sensor

Electronics ◽

10.3390/electronics9050836 ◽

2020 ◽

Vol 9 (5) ◽

pp. 836 ◽

Cited By ~ 1

Author(s):

Young-Hoon Jin ◽

In-Tae Hwang ◽

Won-Hyung Lee

Keyword(s):

Augmented Reality ◽

Real Time ◽

Point Cloud ◽

Depth Image ◽

Visualization Method ◽

Point Cloud Data ◽

Matching Method ◽

The Real ◽

Cloud Data ◽

Real Time Visualization

Augmented reality (AR) is a useful visualization technology that displays information by adding virtual images to the real world. In AR systems that require three-dimensional information, point cloud data is easy to use after real-time acquisition, however, it is difficult to measure and visualize real-time objects due to the large amount of data and a matching process. In this paper we explored a method of estimating pipes from point cloud data and visualizing them in real-time through augmented reality devices. In general, pipe estimation in a point cloud uses a Hough transform and is performed through a preprocessing process, such as noise filtering, normal estimation, or segmentation. However, there is a disadvantage in that the execution time is slow due to a large amount of computation. Therefore, for the real-time visualization in augmented reality devices, the fast cylinder matching method using random sample consensus (RANSAC) is required. In this paper, we proposed parallel processing, multiple frames, adjustable scale, and error correction for real-time visualization. The real-time visualization method through the augmented reality device obtained a depth image from the sensor and configured a uniform point cloud using a voxel grid algorithm. The constructed data was analyzed according to the fast cylinder matching method using RANSAC. The real-time visualization method through augmented reality devices is expected to be used to identify problems, such as the sagging of pipes, through real-time measurements at plant sites due to the spread of various AR devices.

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