A Web-Based Visualization Tool for 3D Spatial Coverage Measurement of Aerial Images

2019 ◽  
pp. 715-721
Author(s):  
Abdullah Alfarrarjeh ◽  
Zeyu Ma ◽  
Seon Ho Kim ◽  
Yeonsoo Park ◽  
Cyrus Shahabi
Keyword(s):  
Aerial Images ◽  
Visualization Tool ◽  
Web Based ◽  
Spatial Coverage ◽  
Coverage Measurement

3D Spatial Coverage Measurement of Aerial Images

2019 ◽  
pp. 365-377
Author(s):  
Abdullah Alfarrarjeh ◽  
Zeyu Ma ◽  
Seon Ho Kim ◽  
Cyrus Shahabi
Keyword(s):  
Aerial Images ◽  
Spatial Coverage ◽  
Coverage Measurement

scholarly journals Web-based Prostate Visualization Tool

2020 ◽  
Vol 6 (3) ◽  
pp. 563-566
Author(s):  
Cristina Laura Oyarzun ◽  
Katrin Hartwig ◽  
Anna-Sophie Hertlein ◽  
Florian Jung ◽  
Jan Burmeister ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Relevant Information ◽  
Visualization Tool ◽  
Proper Treatment ◽  
Communication Tool ◽  
Web Based ◽  
Tumor Length ◽  
Survival Chance

AbstractProper treatment of prostate cancer is essential to increase the survival chance. In this sense, numerous studies show how important the communication between all stakeholders in the clinic is. This communication is difficult because of the lack of conventions while referring to the location where a biopsy for diagnosis was taken. This becomes even more challenging taking into account that experts of different fields work on the data and have different requirements. In this paper a web-based communication tool is proposed that incorporates a visualization of the prostate divided into 27 segments according to the PI-RADS protocol. The tool provides 2 working modes that consider the requirements of radiologist and pathologist while keeping it consistent. The tool comprises all relevant information given by pathologists and radiologists, such as, severity grades of the disease or tumor length. Everything is visualized using a colour code for better undestanding.

scholarly journals CrosstalkNet: mining large-scale bipartite co-expression networks to characterize epi-stroma crosstalk

2017 ◽  
Author(s):  
Venkata Manem ◽  
George Adam ◽  
Tina Gruosso ◽  
Mathieu Gigoux ◽  
Nicholas Bertos ◽  
...  
Keyword(s):  
Stromal Cells ◽  
Large Scale ◽  
Network Visualization ◽  
Visualization Tool ◽  
Biological Processes ◽  
Web Based ◽  
Link Type ◽  
A Cell ◽  
Large Scale Networks ◽  
User Friendly

ABSTRACTBackground:Over the last several years, we have witnessed the metamorphosis of network biology from being a mere representation of molecular interactions to models enabling inference of complex biological processes. Networks provide promising tools to elucidate intercellular interactions that contribute to the functioning of key biological pathways in a cell. However, the exploration of these large-scale networks remains a challenge due to their high-dimensionality.Results:CrosstalkNet is a user friendly, web-based network visualization tool to retrieve and mine interactions in large-scale bipartite co-expression networks. In this study, we discuss the use of gene co-expression networks to explore the rewiring of interactions between tumor epithelial and stromal cells. We show how CrosstalkNet can be used to efficiently visualize, mine, and interpret large co-expression networks representing the crosstalk occurring between the tumour and its microenvironment.Conclusion:CrosstalkNet serves as a tool to assist biologists and clinicians in exploring complex, large interaction graphs to obtain insights into the biological processes that govern the tumor epithelial-stromal crosstalk. A comprehensive tutorial along with case studies are provided with the application.Availability:The web-based application is available at the following location: http://epistroma.pmgenomics.ca/app/. The code is open-source and freely available from http://github.com/bhklab/EpiStroma-webapp.Contact:[email protected]

Mobile Robot Navigation Utilizing the WEB Based Aerial Images Without Prior Teaching Run

2017 ◽  
Vol 29 (4) ◽  
pp. 697-705 ◽  
Author(s):  
Satoshi Muramatsu ◽  
Tetsuo Tomizawa ◽  
Shunsuke Kudoh ◽  
Takashi Suehiro ◽  
◽  
...  
Keyword(s):  
Image Data ◽  
Aerial Images ◽  
Mobile Robot Navigation ◽  
Aerial Image ◽  
Map Matching ◽  
Robot Localization ◽  
Web Based ◽  
Map Data ◽  
Component Map ◽  
Robot Position

In order to realize the work of goods conveyance etc. by robot, localization of robot position is fundamental technology component. Map matching methods is one of the localization technique. In map matching method, usually, to create the map data for localization, we have to operate the robot and measure the environment (teaching run). This operation requires a lot of time and work. In recent years, due to improved Internet services, aerial image data is easily obtained from Google Maps etc. Therefore, we utilize the aerial images as a map data to for mobile robots localization and navigation without teaching run. In this paper, we proposed the robot localization and navigation technique using aerial images. We verified the proposed technique by the localization and autonomous running experiment.

scholarly journals Assessment of Human Modification of Landscapes: Human Perceptions vs. Analytical Indices

2021 ◽  
Author(s):  
Stephen Trombulak ◽  
William Hegman
Keyword(s):  
Geographic Location ◽  
Human Perception ◽  
Aerial Images ◽  
Remotely Sensed Data ◽  
Web Based ◽  
Landscape Modification ◽  
Human Footprint ◽  
Human Modification ◽  
Human Perceptions ◽  
Analytical Index

We assessed how close human perceptions of landscape modification matched a multivariate index based on remotely sensed data of the same locations. Using a Human Footprint (HF) map of the continental U.S. (scaled 0-100), we created three series of aerial images, each with ten images distributed evenly across the 10 deciles of HF score. Using a web-based survey, 290 members of the global public ranked the images in one series based on their perception of the degree of human modification. Respondents also reported age, sex, and country. The degree of correspondence between rankings by respondents and by HF score was high, an average of 1.29 units of difference out of a maximum possible of 5.0. Differences among respondents were not explained by age, sex, or general geographic location. These results suggest that human perception of relative landscape modification conforms closely with the relative ranking made by a multivariate, analytical index.

scholarly journals Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation

2020 ◽  
Author(s):  
David Saffo ◽  
Aristotelis Leventidis ◽  
Twinkle Jain ◽  
Michelle Borkin ◽  
Cody Dunne
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Process Model ◽  
User Involvement ◽  
Visualization Tool ◽  
Web Based ◽  
Visualization System ◽  
System A ◽  
Target User ◽  
In The Wild ◽  
Aerial Vehicle

Autonomous unmanned aerial vehicles are complex systems of hardware, software, and human input. Understanding this complexity is key to their development and operation. Information visualizations already exist for exploring flight logs but comprehensive analyses currently require several disparate and custom tools. This design study helps address the pain points faced by autonomous unmanned aerial vehicle developers and operators. We contribute: a spiral development process model for grounded evaluation visualization development focused on progressively broadening target user involvement and refining user goals; a demonstration of the model as part of developing a deployed and adopted visualization system; a data and task abstraction for developers and operators performing post-flight analysis of autonomous unmanned aerial vehicle logs; the design and implementation of DATA COMETS, an open-source and web-based interactive visualization tool for post-flight log analysis incorporating temporal, geospatial, and multivariate data; and the results of a summative evaluation of the visualization system and our abstractions based on in-the-wild usage. A free copy of this paper and source code are available at osf.io/h4p7g

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