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High-speed tracking of rupture and clustering in freely falling granular streams

John R. Royer, Daniel J. Evans, Loreto Oyarte, Qiti Guo, Eliot Kapit, Matthias E. Möbius, Scott R. Waitukaitis, Heinrich M. Jaeger
2009 Nature  
Witten and W. Zhang for discussions and J. Jureller for AFM training and assistance.  ...  Author Information Reprints and permissions information is available at Correspondence and requests for materials should be addressed to J.R.R. (  ...  At early times the data seem much more in line with inviscid break-up (exponent 2/3) of macroscopic liquid streams 2 , although there the neck shapes are quite different 1 .  ... 
doi:10.1038/nature08115 pmid:19553995 fatcat:rziwlug3frcuhpw47f3anu6spe

Granular Model Of Multidimensional Spatial Sonification

Muhammad Hafiz Wan Rosli, Andrés Cabrera, Matthew Wright, Curtis Roads
2015 Proceedings of the SMC Conferences  
ACKNOWLEDGMENTS We would like to thank CREATE and the Allosphere Research Group for the use of facilities.  ...  This work was supported in part by the Graduate Program in Media, Arts and Technology at the University of California, Santa Barbara.  ...  If a granular stream does not change through time, then the number of occurrence for that data point does not fluctuate.  ... 
doi:10.5281/zenodo.851089 fatcat:c2qhnkvcj5gbvhmjkbdqr7ixsa

NewsLab: Exploratory Broadcast News Video Analysis

Mohammad Ghoniem, Dongning Luo, Jing Yang, William Ribarsky
2007 2007 IEEE Symposium on Visual Analytics Science and Technology  
A rich set of interactions such as filtering, drill-down/roll-up navigation, history animation, and keyword based search are also provided.  ...  Our case studies show how this set of tools can be used to find emerging topics in the news, compare different broadcasters, or mine the news for topics of interest.  ...  We would like to thank Hangzai Luo for useful discussions and providing the data.  ... 
doi:10.1109/vast.2007.4389005 dblp:conf/ieeevast/GhoniemLYR07 fatcat:ft5ay3av6jgdvhzmj2r7flbdjq

MSSG: A Framework for Massive-Scale Semantic Graphs

Timothy Hartley, Umit Catalyurek, Fusun Ozguner, Andy Yoo, Scott Kohn, Keith Henderson
2006 2006 IEEE International Conference on Cluster Computing  
This paper presents a middleware framework for storing, accessing and analyzing massive-scale semantic graphs.  ...  Here, we present the overall architectural design of the framework, as well as a prototype implementation for cluster architectures.  ...  If vertex granularity is selected at the storage side, it would largely dictate the clustering and declustering of streaming updates.  ... 
doi:10.1109/clustr.2006.311857 dblp:conf/cluster/HartleyCOYKH06 fatcat:nnd5f7hrxrhihah6yfm22nii4u

Scalable Visual Data Exploration of Large Data Sets via MultiResolution

Daniel A. Keim, Jörn Schneidewind
2005 Journal of universal computer science (Online)  
The basic idea is to provide relevance driven compact representations of the underlying data set that present the data at different granularities.  ...  Most existing visualization metaphors and concepts do not scale well on such large data sets as interaction capabilities and visual representations suffer from the massive number of data points.  ...  multiple views at different levels of detail for representation of large data sets.  ... 
doi:10.3217/jucs-011-11-1766 dblp:journals/jucs/KeimS05 fatcat:ude4aey3dre4tabkumqtdjepli

Big Data Analytics: A Perspective View

Suman Pandey
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Big data is a term coined for massive data sets with more varied and complex structure and also having the difficulties of storing, analysing and visualizing it for further usages.  ...  This work will be quite useful for the future researchers in this domain and facilitate the development of optimal techniques to address Big data.  ...  data size into different level of granularity [13] .  ... 
doi:10.23956/ijarcsse/sv7i5/0237 fatcat:mq75vo3n4rbihnc43mtpktzrru

A Survey on Visual Analytics of Social Media Data

Yingcai Wu, Nan Cao, David Gotz, Yap-Peng Tan, Daniel A. Keim
2016 IEEE transactions on multimedia  
The unprecedented availability of social media data offers substantial opportunities for data owners, system operators, solution providers and end users to explore and understand social dynamics.  ...  We then explore the design space and identify the research trends. Finally, we discuss challenges and open questions for future studies.  ...  TopicPanorama is highly interactive and assists users in interacting with matched topic graphs at different granularity levels.  ... 
doi:10.1109/tmm.2016.2614220 fatcat:o4nc5eutpfhrplo4joa45dxbnq

A Review on Evolving Interval and Fuzzy Granular Systems

Daniel Leite, Pyramo Costa Jr., Fernando Gomide
2016 Learning and Nonlinear Models  
The aim of the evolution of granular systems is to fit the information carried by data streams from time-varying processes into rule-based models and, at the same time, provide granular approximation of  ...  This article provides definitions and principles of granular computing and discusses the generation and online adaptation of rule-based models from data streams.  ...  Event streams are examples of streams that usually come about at different time granularities.  ... 
doi:10.21528/lnlm-vol14-no2-art3 fatcat:mw4xwirbsbg3ln2fciuovvlg6u

Diverse Visualization Techniques and Methods of Moving-Object-Trajectory Data: A Review

Jing He, Haonan Chen, Yijin Chen, Xinming Tang, Yebin Zou
2019 ISPRS International Journal of Geo-Information  
) with large data amounts and high dimensions.  ...  of visualizing trajectory data and mining hidden information.  ...  Figure 18b shows six perceptual heatmap results at different levels of detail. Interactive Visualization Time-oriented data are typically defined as streaming data.  ... 
doi:10.3390/ijgi8020063 fatcat:fjd5jjfrhncfpowutovxxiyhpe

A Data Model and Task Space for Data of Interest (DOI) Eye-Tracking Analyses

Radu Jianu, Sayeed Safayet Alam
2018 IEEE Transactions on Visualization and Computer Graphics  
Our paper contributes to establishing a foundation of DOI analyses by defining a DOI data model and highlighting its differences to AOI data in structure and scale; by defining and exemplifying a space  ...  for DOI experimentation and analysis.  ...  Exploring data at multiple time scales relies on the ability of visualizations to aggregate data over times longer than a single fixation (semantic zooming), or to show data in ways that allow different  ... 
doi:10.1109/tvcg.2017.2665498 pmid:28186899 fatcat:fkoiljgfy5c7pfvmt2nrwqesbq


Pedro Pedreira, Chris Croswhite, Luis Bona
2016 Proceedings of the VLDB Endowment  
This paper describes the architecture and design of Cubrick, a distributed multidimensional in-memory DBMS suited for interactive analytics over highly dynamic datasets.  ...  Cubrick has a strictly multidimensional data model composed of cubes, dimensions and metrics, supporting sub-second OLAP operations such as slice and dice, roll-up and drill-down over terabytes of data  ...  Finally, this operation is particularly useful for real time stream data sources, where data is generated at the lowest granularity level (e.g. user level) and the aggregations are generated partially  ... 
doi:10.14778/3007263.3007269 fatcat:krf5qjcnjrg47m34gvb53apum4

Visualization of Urban Mobility Data from Intelligent Transportation Systems

Thiago Sobral, Teresa Galvão, José Borges
2019 Sensors  
Data visualization provides multiple perspectives on data and supports the analytical tasks of domain experts.  ...  To address the multivariate nature of spatiotemporal urban mobility data, researchers and practitioners have developed an extensive body of research and interactive visualization tools.  ...  [24] highlights the importance of the semantic zoom interaction for analyzing phenomena at different levels.  ... 
doi:10.3390/s19020332 fatcat:degl2umu6nfk3i43zgxn7zpirq

Scalable Pixel Based Visual Data Exploration [chapter]

Daniel A. Keim, Jörn Schneidewind, Mike Sips
2007 Lecture Notes in Computer Science  
Pixel based visualization techniques have proven to be of high value in visual data exploration.  ...  The paper presents different application scenarios from the fields of financial analysis, geo-visualization, and network data analysis that clearly show the practical benefit of the multi-resolution approach  ...  multiple views at different levels of detail for representation of large data sets.  ... 
doi:10.1007/978-3-540-71027-1_2 fatcat:up6mgpjn2za6dmktl2anknwxzy

Sharing and exploring sensor streams over geocentric interfaces

Liqian Luo, Aman Kansal, Suman Nath, Feng Zhao
2008 Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems - GIS '08  
We present SenseWeb, an open and scalable infrastructure for sharing and geocentric exploration of sensor data streams.  ...  We enable interactive geocentric data exploration in the mapbased front-end using techniques for rapidly changing map overlaid visualizations of numerous data streams.  ...  near real time for interactive use.  ... 
doi:10.1145/1463434.1463439 dblp:conf/gis/LuoKNZ08 fatcat:vd2jmqd74nc2bc62h5quiytudi

CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems [article]

Ke Xu, Yun Wang, Leni Yang, Yifang Wang, Bo Qiao, Si Qin, Yong Xu, Haidong Zhang, Huamin Qu
2019 arXiv   pre-print
Rich visualization and interaction designs are used to help understand the anomalies in the spatial and temporal context.  ...  Detecting and analyzing potential anomalous performances in cloud computing systems is essential for avoiding losses to customers and ensuring the efficient operation of the systems.  ...  ACKNOWLEDGEMENTS We would like to thank all the reviewers and domain experts for their comments. This work is partially supported by a grant from MSRA (code: MRA19EG02).  ... 
arXiv:1907.13187v1 fatcat:fai2vqpxrfdb7gahlovxiwivsi
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