muView: A Visual Analysis System for Exploring Uncertainty in Myocardial Ischemia Simulations

Author(s):  
Paul Rosen ◽  
Brett Burton ◽  
Kristin Potter ◽  
Chris R. Johnson
Polymers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 2098
Author(s):  
Tomas Kalous ◽  
Pavel Holec ◽  
Jakub Erben ◽  
Martin Bilek ◽  
Ondrej Batka ◽  
...  

The electrospinning process that produces fine nanofibrous materials have a major disadvantage in the area of productivity. However, alternating current (AC) electrospinning might help to solve the problem via the modification of high voltage signal. The aforementioned productivity aspect can be observed via a camera system that focuses on the jet creation area and that measures the average lifespan. The paper describes the optimization of polyamide 6 (PA 6) solutions and demonstrates the change in the behavior of the process following the addition of a minor dose of oxoacid. This addition served to convert the previously unspinnable (using AC) solution to a high-quality electrospinning solution. The visual analysis of the AC electrospinning of polymeric solutions using a high-speed camera and a programmable power source was chosen as the method for the evaluation of the quality of the process. The solutions were exposed to high voltage applying two types of AC signal, i.e., the sine wave and the step change. All the recordings presented in the paper contained two sets of data: firstly, camera recordings that showed the visual expression of electrospinning and, secondly, signal recordings that provided information on the data position in the signal function.


Smart Cities ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 345-358 ◽  
Author(s):  
Jiang ◽  
Cao ◽  
Liu ◽  
Fan

Mining the mobile pattern of the urban population plays an important role in city construction, and visual analysis is a powerful technique in studying mobile patterns. In this paper, based on the taxi trajectory data in Hangzhou, we share our design for an interactive visual analytic system, which helps analyzers leverage their domain knowledge to gain insight into travel patterns, including travel time rules of tourists and the distribution rules of pick-up and drop-off locations. Besides, our system can present the dynamic travel process and the Point of Interest (POIs) information of the origin and the destination. A case study has been conducted, which verifies that our system can provide tools for urban managers or urban experts on the design of scenic spot open entrances and exits and travel route planning.


2018 ◽  
Vol 11 (5) ◽  
pp. 711-718 ◽  
Author(s):  
John D. Biglands ◽  
Montasir Ibraheem ◽  
Derek R. Magee ◽  
Aleksandra Radjenovic ◽  
Sven Plein ◽  
...  

Author(s):  
Shidong Yu ◽  
Dongsheng Yang ◽  
Ying Hao ◽  
Mengjia Lian ◽  
Ying Zang

Online transaction log records the relevant information of the users, commodities and transactions, as well as changes over time, which can help analysts understand commodities’ sales. The existing visualization methods mainly analyze the purchase behavior from the perspective of users, while analyzing the sales trend of commodities can better help merchants to make business decisions. Based on the transaction log, this paper puts forward the visual analysis framework of commodity sales trend and the corresponding data processing algorithm. The concepts of volatility and dynamic performance of sales trend are proposed, through which the multi-dimensional sales data of time-oriented are displayed in two-dimensional space. The “Feature Ring” is designed to display the detailed sales information of the products. Based on the above methods, a visual analysis system is designed and implemented. The usability and validity of the visualization methods are verified by using JD online transaction data. The visualization methods enable manufacturers to formulate production plans and carry out product research and develop better.


2011 ◽  
Vol 2 (0) ◽  
pp. 280-283 ◽  
Author(s):  
Pengcheng LONG ◽  
Qin ZENG ◽  
Tao HE ◽  
Junjun ZHANG ◽  
Dongchuan YING ◽  
...  

2002 ◽  
Vol 78 (1) ◽  
pp. 59-69 ◽  
Author(s):  
Yoshio SUZUKI ◽  
Yasuaki KISHIMOTO ◽  
NEXT group

2021 ◽  
Vol 33 (4) ◽  
pp. 508-517
Author(s):  
Da Cheng ◽  
Yunhai Wang

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