Performance testing of web-based data visualization

Lee, Sungchul; Jo, Ju-Yeon; Kim, Yoohwan

doi:10.1109/smc.2014.6974152

Cited by 13 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The threshold point to set an action on the server can be replaced. Research Application . Sensor data can be downloaded from the server to produce visualization graphs (Lee, Jo, & Kim, 2014) via the cloud server. The data can also be analyzed with the tools available on the server, or with other relevant tools, such as MATLAB.…”

Section: Methodsmentioning

confidence: 99%

Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries

Lee

Salado

et al. 2018

Asian Pac Isl Nurs J

Self Cite

View full text Add to dashboard Cite

Background: Most individuals with mild traumatic brain injury (mTBI) experience post-injury deficits in postural control. Currently available measures of postural control are lab-based or supervised, which may hinder timely symptom assessment for individuals with mTBI, including Asian populations, who do not seek initial screening post-injury. In this proof-of-concept testing study, we introduce a real-time mobile health (mHealth) system to measure postural control during walking. The proposed mHealth system can be used for home-based symptom assessment and management of mTBI. Methods: In our proposed mHealth system, a smartwatch, a smartphone, and a cloud server communicate to measure, collect, and store body balance data in real time. Specifically, we focus on the rotation vector data that have been reported to be the most effective in terms of differentiating balance control during walking across different participants. Results: Constant motion change in four participants (two females and two males; three healthy participants, and one individual with reduced physical mobility) was collected and analyzed. The results of our data analysis show that, compared to healthy participants, the individual was reduced physical mobility had a wider range of motion between right and left, up and down, and forward and backward while walking. We also found that female participants had narrower ranges of right-to-left and up-and-down motions than their male counterparts. Conclusions: Our results highlight the potential of the proposed real-time mHealth system for home-based symptom assessment and management of mTBI, which may benefit Asian and other nonwhite racial minority groups that appear to be more reluctant to access post-acute rehabilitation services.

show abstract

Section: Methodsmentioning

confidence: 99%

Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries

Lee

Salado

et al. 2018

Asian Pac Isl Nurs J

Self Cite

View full text Add to dashboard Cite

show abstract

“…Lee et al [39] surveyed and tested web-based data visualization tools and libraries, e.g., Google Charts, Flex, OFC, d3.js and, JfreeChart. They used 100,000 static data points for performance analysis.…”

Section: Web Visualization Performance Evaluationmentioning

confidence: 99%

Web Performance Evaluation of High Volume Streaming Data Visualization

et al. 2023

View full text Add to dashboard Cite

Many applications such as, software, and hardware generate an increasing volume of data and logs in realtime. Visual analytics is essential to support system monitoring and analysis of such data. For example, the world's largest radio telescope, the Square Kilometer Array (SKA), is expected to generate an estimated 160 TB a second of raw data captured from different sources. Transporting large amounts of data from distributed sources to a web browser for visualization is time-consuming due to data transport latencies. In addition, visualizing real-time data in the browser is challenging and limited by the data rates which a web browser can handle. We propose a novel low latency data streaming architecture, which uses a messaging system for real-time data transport to the web browser. Based on this architecture, we propose techniques and provide a tool for analyzing the performance of serialization protocols and the web-visualization rendering pipeline. We empirically evaluate the performance of our architecture using three visualizations use cases relevant to the SKA. Our system proved extremely useful in streaming high-volume data in real-time with low latency and greatly enhanced the web-visualization performance by enabling streaming an optimal number of data points for different visualizations.INDEX TERMS Visualization system, real-time systems, streaming and messaging system, web services, performance evaluation, and applications.

show abstract

“…When the user clicks on the table a new webpage will be activated presenting the chart and other functionalities. The charts themselves created using C3.js a D3 charting library, recognised for its fast performance, compatibility with Google Chrome and data transformation time [11].…”

Section: User Interfacementioning

confidence: 99%

Visualization of Online Datasets

Downie¹,

Peng²

2018

IJNDC

View full text Add to dashboard Cite

As computing technology advances, computers are being used to orchestrate and advance wide spectrums of commercial and personal life, information visualization becomes even more significant as we immerse ourselves into the era of big data, leading to an economy heavily reliant on data mining and precise, meaningful visualizations. However, accuracy of information visualization techniques is heavily dependent on the knowledge and capabilities of users, leaving novices in many fields at a disadvantage. This is a challenging problem that has been inadequately addressed regardless of the influx in visualization tools. Therefore, this paper proposes a novel approach with a focus on online datasets, allowing users to automatically and accurately visualize datasets. Experiment results show that using a browser extension and specially created HTML tables containing custom attributes-stating the data attribute type-the approach is able to detect and present the most suitable visualizations at the click of a mouse. This proposed approach provides a means for novices to quickly and accurately visualize online datasets.

show abstract

Performance testing of web-based data visualization

Cited by 13 publications

References 16 publications

Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries

Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries

Web Performance Evaluation of High Volume Streaming Data Visualization

Visualization of Online Datasets

Contact Info

Product

Resources

About