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International conference on Future Information Engineering(FIE 2014)

作者： Huan Wang Junhui Deng Guodong Yuan Department of Computer Science and Technology Tsinghua University

Along with the expansion of computer-based climate simulations, efficient visualization and analysis of massive climate data are becoming more important than ever. In this paper, we try to explore the factors behide climate changes by combining window query and time-varying data mining techniques. With constant query time and acceptable storage cost, the algorithms presented support various queries on 3d time-varying datasets, such as average, min, and max value. A new time-varying data analysis algorithm is given, which is especially suitable for analyzing big data. All these algorithms have been implemented on and integrated into a visual analysis system, with tiled-LCD ultra-resolution display. Experimental results on several datasets from practical applications are presented.

关键词： Window Query Visual Analytics Spatio-Temporal data Mining visualization Earth System Model

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The construction of control chart for PM10 functional data

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AIP conference Proceedings 2014年第1期1602卷 1161-1167页

作者： Norshahida Shaadan Abdul Aziz Jemain Sayang Mohd Deni Center for Statistical and Decision Science Studies Faculty of Computer and Mathematical Sciences 40450 UiTM Shah Alam Selangor Malaysia DELTA School of Mathematical Sciences Faculty of Science and Technology Universiti Kebangsaan Malaysia UKM 43600 Bangi Selangor Malaysia

In this paper, a statistical procedure to construct a control chart for monitoring air quality (PM10) using functional data is proposed. A set of daily indices that represent the daily PM10 curves were obtained using Functional Principal Component analysis (FPCA). By means of an iterative charting procedure, a reference data set that represented a stable PM10 process was obtained. The data were then used as a reference for monitoring future data. The application of the procedure was conducted using seven-year (2004–2010) period of recorded data from the Klang air quality monitoring station located in the Klang Valley region of Peninsular Malaysia. The study showed that the control chart provided a useful visualization tool for monitoring air quality and was capable in detecting abnormality in the process system. As in the case of Klang station, the results showed that with reference to 2004–2008, the air quality (PM10) in 2010 was better than that in 2009.

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Visualizing health data using linked micromap plots

Visualizing health data using linked micromap plots

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2014 International conference on Communication Technology and Application(CTA2014)

作者： J.Y.Ahn S.J.Park Department of Statistics (Institute of Applied Statistics) Chonbuk Natinal University

ISBN: (纸本)9781845649302

Statistical graphics and techniques for data visualization are critical elements of modern data analysis. One of the most recognized and convenient ways to provide statistical information on geographically referenced data is to apply micromaps. In this article, we describe how spatial patterns of two cancer incidence rates, age-standardized rate and crude rate, and the health indicators can be examined visually and simultaneously using linked micromap plots. To explore the potential for utilization of linked micromap plots, we analyze and visualize the health data including cancer statistics and community health indicators for the period of 2010 of South Korea. As a result of data analysis, the age-standardized rate has negative correlativity with smoking and drinking, and the crude rate is more influenced by socioeconomic factors than health behaviors.

关键词： age-standardized rate crude rate data visualization health indicators linked micromap plots

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Spatial Autocorrelation analysis of the Total Population in Henan Province

Spatial Autocorrelation Analysis of the Total Population in ...

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2013 International conference on Frontiers of Energy,Environmental Materials and Civil Engineering(FEEMCE 2013)

作者： SI-LIAN SHEN CHUN-WEI WANG JIAN-LING CUI School of Mathematics and Statistics Henan University of Science and Technology Troop 63892

Almost all of the spatial data is spatially dependent. In this paper, we focus on studying the spatial autocorrelation of the population distribution based on the data which is from the statistical yearbook of Henan province. Specifically, the spatial clustering patterns of the population both in 2000 and 2010 years are first investigated throughout the whole province by using the global Moran I statistic. Secondly, the local Moran I statistic is employed to assess and evaluate the spatial autocorrelation degree between the focal location and its surrounding ones. Finally, related results are visualized by applying the visualization technique of the Surfer software.

关键词： Moran Spatial Autocorrelation analysis of the Total Population in Henan Province

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Visual Exploration for Time Series data U sing Multivariate analysis Method

Visual Exploration for Time Series Data U sing Multivariate ...

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8th International conference on Computer Science and Education (ICCSE)

作者： Wang Xiaohuan Yuan Guodong Wang Huan Hu Wei Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China Beijing Univ Chem Technol Dept Comp Sci & Technol Beijing Peoples R China

ISBN: (纸本)9781467344630;9781467344647

In the online teaching activities, there are various teaching data accumulated as time series and many methods to analyze the quality of teaching. But there are no such methods which can emphasize the status perception of the teaching-learning and the interaction between the teachers and students. In this paper, we adopt multivariate analysis method to help teachers improve their teaching and to promote the students' mastery of knowledge. We add the analysis of student learning status to reflect the students' learning ability clearly. Through statistical analysis, clustering algorithm and visualization, users can distinguish the students of different abilities and use different educational strategies. Our system named as A VOJ, including multivariate visual analysis and data mining methods, is proved usefully both in teaching and learning instruction.

关键词： Visual analysis Information visualization Clustering

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Urban energy information modelling: An interactive platform to communicate simulationbased high fidelity building energy analysis using geographical information Systems (GIS)

Urban energy information modelling: An interactive platform ...

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13th conference of the International Building Performance Simulation Association, BS 2013

作者： Rainesh, Shalini Lam, Kliee Poll Baird, Nina Johnstone, Hemy Center for Building Perfomiance and Diagnostics School of Architecture Carnegie Mellon University Pittsburgh PA United States GLHN Architects and Engineers. Inc United States

This paper presents a novel approach to urban scale energy information modeling that integrates 24x7 high fidelity energy demand data from every building on a 28-acre urban neighborhood located in Pittsburgh, Pennsylvania, USA. The simulation input parameters are in accordance with ASHRAE 90.1- 2010 and DOE reference buildings 2004. The 28-acre site is zoned for mixed use development comprismg residential, commercial and retail land use types. Hie simulated data is represented on an interactive platform using Geographical Information systems (GIS) to provide multi-dimensional visualization of the complex relational *** © 2011 by IPAC'11/EPS-AG. Copyright © 2011 by IPAC'11/EPS-AG.

关键词： Information systems

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Upstream data standards at Saudi Aramco

Upstream data standards at Saudi Aramco

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18th Middle East Oil and Gas Show and conference 2013: Transforming the Energy Future, MEOS 2013

作者： Al Shehry, M.A. Al-Khudiri, M.M. Al-Sanie, F.S. Miyajan, R.A. Al Taiban, A.A. Al-Zawawi, A.S. Khakwani, M.S. Saudi Aramco Saudi Arabia

ISBN: (纸本)9781627482851

This paper describes the upstream data standards that Saudi Aramco has recently implemented for Drilling and is in progress to implement them for other areas such as Production and Reservoir Characterization. These standards enable us to make wider use of our monitoring and collaboration centers through a common approach. It also allows us to leverage the evolving WITSML, PRODML and RESQML standards more effectively in our upstream operations. Saudi Aramco relies on many service organizations to deliver the generated data which requires common and standard data classification when exporting data from source A then importing to destination B. Applying a common approach to information access on a global basis has enabled us to streamline our operations and make wider use of emerging analysis, monitoring and collaboration technologies. Real-time technologies have been utilized to capture, monitor and analyze operational data from well sites so that critical decisions can be made in real-time to reduce and eliminate operational and safety problems, thus reducing non-productive time. That includes high-tech rigs, smart wells, monitoring & collaboration tools and real-time data visualization systems. Our aim has been to implement standard upstream information architecture. Our full implementation of WITSML was the vehicle which allowed this to happen in Drilling & Workover operations. We still believe that over the next years with the advancements of technologies there will be more challenges to support open connectivity between different vendors and services supporting the increasing upstream functions. Copyright 2010, Society of Petroleum Engineers.

关键词： data visualization

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On-line and off-line data analysis for the EUSO-TA and EUSO-BALLOON experiments 33

On-line and off-line data analysis for the EUSO-TA and EUSO-...

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33rd International Cosmic Rays conference, ICRC 2013

作者： Piotrowski, Lech Wiktor Pesoli, Alessandro RIKEN Wako-shi Saitama Japan INFN and University Rome Tor Vergata Rome Italy

ISBN: (纸本)9788589064293

JEM-EUSO, with EUSO-TA and BALLOON-EUSO prototypes, is an orbital detector of extremely energetic cosmic rays, which will be attached to a Japanese Experiment Module of International Space Station. It detects cosmic ray induced showers in the atmosphere by detecting the emitted fluorescence and Cherenkov UV radiation with 2.5 µs time resolution. We show here the basics of communication protocol used to exchange the commands and data between the subsystems of the detector and the software used for on-line and off-line analysis. The data acquisition starts with calibration, in which we acquire data necessary to obtain the position of the single photoelectron peak. The calibration is an iterative procedure of changing the gain and threshold to obtain similar detection efficiency for each pixel. Then, in a standard acquisition mode, each exposure is quickly analyzed by a multi-level trigger and appropriate packets with all the hardware information are being stored into a file. The file is then transmitted to the Earth for off-line analysis. The off-line analysis and visualization involves two steps. First, the binary packets included in the file received from space have to be converted to a human readable format. Then for specific, most common tasks a designated software can be used. We chose ROOT TTree as the format for storing off-line data. The software for visualization and analysis serves the role of controlling the performance of the system. Its functionality includes among others: visualizing the photoelectron counts for the whole focal surface, analysis of photon counts over time (lightcurves), drawing pixel and exposition statistics, analysis of calibration S-curves. Additionally, the flow of commands exchanged internally in the system can be visualized, to allow tracing the possible errors and improving the system capabilities. © 2013 Sociedade Brasileira de Fisica. All Rights Reserved.

关键词： Calibration

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Advances and innovations at the multi-axial full-scale substructure testing and simulation (MUST-SIM) facility 5

Advances and innovations at the multi-axial full-scale subst...

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5th International conference on Advances in Experimental Structural Engineering, AESE 2013

作者： Spencer, B.F. Kuchma, Daniel A. Elnashai, Amr S. Chang, Chia-Ming Department of Civil and Environmental Engineering University of Illinois IL United States Earthquake Engineering Research and Test Center Guangzhou University Guangzhou China

The Multi-axial Full-scale Substructure Testing and Simulation (MUST-SIM) facility at the University of Illinois at Urbana-Champaign is part of the National Science Foundation’s (NSF) George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES). In this facility, full-scale structures or structural subassemblages can be subjected to complex loading and deformation states at multiple connection points on the test specimen, including the connection between the test structure and its foundation. The MUST-SIM facility has the following unique features: (i) 6-DOF load and position control capabilities at multiple connection points, (ii) multiple dense arrays of non-contact measurement devices, and (iii) advanced nonlinear analysis, visualization, and data archiving and manipulation capabilities to enable integrated data exchange and manipulation, hybrid simulation (UI-SimCor), remote control and observation, and multi-site collaboration within a networked environment. This paper will present several successful implementations that illustrate recent advances and innovations at the MUST-SIM facility. © 2013 Earthquake Engineering Research Institute. All rights reserved.

关键词： data visualization

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Template analysis of the collaborations on a social visualization website

Template analysis of the collaborations on a social visualiz...

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2012 IEEE International conference on Information Science and Technology, ICIST 2012

作者： Karmakar, Saurav Zhu, Ying Department of Computer Science Georgia State University Atlanta GA United States

ISBN: (纸本)9781457703454

In recent years, online social data visualization has captured attention from the users as a new platform for constructing and sharing data visualizations as well as collaboration through user comments. Many Eyes and Tableau are the most popular among them. In this paper, we present a statistical analysis of the data retrieved from Many Eyes - an IBM research project. By analyzing all the data visualizations constructed by users from 2007 to 2010, we provide an insight into the online user behavior as well as the patterns and trends in social data visualization. © 2012 IEEE.

关键词： data visualization

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