39,021 research outputs found
Online monitoring and prediction of complex time series events from nonstationary time series data
Much of the world’s supply of data is in the form of time series. In the last decade, there has been an explosion of interest in time series data mining. Time series prediction has been widely used in engineering, economy, industrial manufacturing, finance, manage- ment and many other fields. Many new algorithms have been developed to classify, cluster, segment, index, discover rules, and detect anomalies/novelties in time series. However, traditional time series analysis methods are limited by the requirement of stationarity of the time series and normality and independence of the residuals. Be- cause they attempt to characterize and predict all time series observations, traditional time series analysis methods are unable to identify complex (nonperiodic, nonlinear, irregular, and chaotic) characteristics. As a result, the prediction of multivariate noisy time series (such as physiological signals) is still very challenging due to high noise, non-stationarity, and non-linearity. The objective of this research is to develop new reliable frameworks for analyzing multivariate noisy time series, and to apply the framework to online monitor noisy time series and predict critical events online. In particular, this research made an extensive study on one important form of multivariate time series: electrocorticogram (EEG) data, based on which two new online monitoring and prediction frameworks for multivariate time series were introduced and evaluated. The new online monitoring and prediction frameworks overcome the limitations of traditional time series analysis techniques, and adapt and innovate data mining concepts to analyzing multivariate time series data. The proposed approaches can be general frameworks to create a set of methods that reveal hidden temporal patterns that are characteristic and predictive of time series events. In second part of this dissertation provide an overview of the state-of-the-art pre- diction approaches. In the third part of this dissertation, we perform an extensive data mining study on multivariate EEG data, which indicates that EEG may be predictable for some events. In chapter 4, a reinforcement learning-based online monitoring and prediction framework is introduced and applied to solve the challenging seizure pre- diction problem from multivariate EEG data. In chapter 5, it first overview of the most popular representation methods for time series data, and then introduce two new robust algorithms for offline and online segmentation of a time series, respectively. Chapter 6 proposes a general online monitoring and prediction framework, which com- bines temporal feature extraction, feature selection, online pattern identification, and adaptive learning theory to achieve online prediction of complex time series events. Two prediction-rule construction schemes are proposed. In chapter 7, the proposed framework is applied to solve two challenging problems including seizure prediction and ’anxiety’ prediction in a simulated driving environment. The significant prediction results demonstrated the superior prediction capability of the proposed framework to predict complex target events from online streams of nonstationary and chaotic time series.Ph. D.Includes bibliographical referencesby Shouyi Wan
A Study of the Classical Landscape at the Wang River Villa of Wang Wei
The landscape of Wang Wei's Wang River Villa is examined by reviewing the essays and papers written about the poetical collaboration, the “Wang River Collection.” The purpose of this paper is to clarify the meaning of villa architecture in China. The author expects that this research will contribute to a mutual understanding between cultures. The villa was a Utopia for Wang. On the other hand, he was a pious Buddhist and Buddhistic concepts are reflected in the landscape. I consider the features of the classical landscape of Xie Lingyun and "Chu Ci," as written in “The Collection,” a reflection of the Buddhistic concept. When considering what the classics meant to Wang Wei, it is apparent that his villa is a representation of the classical landscape. It is not an imitation of the classical landscape, but a unique and original creation of art by Wang.departmental bulletin pape
First person – Yihua Wang
First Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Yihua Wang is the first author on ‘Nuclear entry and export of FIH are mediated by HIF1α and exportin1, respectively’, published in Journal of Cell Science. Yihua is a Lecturer in Biological Sciences at the University of Southampton, studying cell signalling in lung fibrosis and cancer, drug target validation and gene function analysis
Supporting the research process through expanded library data services
Purpose – The purpose of this paper is to describe how the authors gained a better understanding of the variety of library users' data needs, and how gradually some new data services were established based on current capabilities.Design/methodology/approach – This paper uses a case study of the new data services at the John Cotton Dana Library, at Rutgers, The State University of New Jersey, Newark campus, to demonstrate the possible ways to extend data reference services and provide data computing services. A content analysis of services records shows how each user group falls into the multiple data services levels and subcategories.Findings – Library users can be classified into many different categories, and each of these may have different needs. Research centers might have big projects involving data gathering and applications where a librarian can mainly provide consultation; while an individual faculty member or student might need the librarians as research partners, with help for their specific problems. Computing data services can involve group training and statistical analysis assistance, where researchers need emergent help. Data librarians can take various opportunities for data management education, thereby gradually raising awareness and cultivating better research habits among researchers.Originality/value – Library data computing services can make unique contributions to faculty and students' research and study. Institution, library and users' interaction determines the levels and extent of data services and is generalized from the description and analysis of typical data service examples. Classic concept of data services levels is applied to a concrete case of data services program, and sub-categories of each data services level and user types are developed based on the authors' services record.This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here at the RUcore: Rutgers University Community Repository . Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.Peer reviewe
The supporting information for Spatial Changes of Late Quaternary Slip Rates along the Gyaring Co Fault: Implications for Strain Partitioning and Deformation Modes in Central Tibet
Author: Wang Duo, Hong Chang, Gongming Yin, Fei Han, Zebin Mao, Jinhua Du Wenjun Zheng and Xulong Wang
Corresponding author: Xulong Wang ([email protected])
Contents of this file
Text S1
Figures S1 to S3
Table S1
Introduction
The supporting information including sampling, pretreatments, all details of Optically Stimulated Luminescence (OSL) dating and collected rates and ages along strike-slip and normal faults in central Tibet.
Text S1 shows detailed OSL dating processing and analysis procedures.
Figures S1, S2 and S3 show OSL dating details at Kong Co, Aruo and Nacha site, respectively.
Table S1 shows the rates and ages of strike-slip and normal faults and their corresponding references in central Tibet
The supporting information for Spatial Changes of Late Quaternary Slip Rates along the Gyaring Co Fault: Implications for Strain Partitioning and Deformation Modes in Central Tibet
Author: Wang Duo, Hong Chang, Gongming Yin, Fei Han, Zebin Mao, Jinhua Du Wenjun Zheng and Xulong Wang
Corresponding author: Xulong Wang ([email protected])
Contents of this file
Text S1
Figures S1 to S3
Table S1
Introduction
The supporting information including sampling, pretreatments, all details of Optically Stimulated Luminescence (OSL) dating and collected rates and ages along strike-slip and normal faults in central Tibet.
Text S1 shows detailed OSL dating processing and analysis procedures.
Figures S1, S2 and S3 show OSL dating details at Kong Co, Aruo and Nacha site, respectively.
Table S1 shows the rates and ages of strike-slip and normal faults and their corresponding references in central Tibet
The Supporting Information for Spatial Changes in Late Quaternary Slip Rates along the Gyaring Co Fault: Implications for Strain Partitioning and Deformation Modes in Central Tibet
Author: Wang Duo, Hong Chang, Gongming Yin, Fei Han, Zebin Mao, Jinhua Du Wenjun Zheng and Xulong Wang
Corresponding author: Xulong Wang ([email protected])
Contents of this file
Text S1
Figures S1 to S3
Table S1
Introduction
The supporting information including sampling, pretreatments, all details of Optically Stimulated Luminescence (OSL) dating and collected rates and ages along strike-slip and normal faults in central Tibet.
Text S1 shows detailed OSL dating processing and analysis procedures.
Figures S1, S2 and S3 show OSL dating details at Kong Co, Aruo and Nacha site, respectively.
Table S1 shows the rates and ages of strike-slip and normal faults and their corresponding references in central Tibet
Serving the Future E-Science Researchers: Library Computing Data Services for Graduate Students on the Rutgers Newark Campus
This article was published in Synergy: News from ARL Diversity Programs, Issue 7, and can be accessed at http://www.arl.org/bm~doc/synergy1011.pd
Beyond Technical Instruction
As a data services librarian, I teach workshops on how to use statistical software. In addition to demonstrate step by step techniques and let the students do hands-on exercises, I point them to additional online tutorials and other resources. I also introduce them to principles and best practice of data analysis. Library guides are also set up for students to come back later reviewing the class notes or looking for links to other resources. Based on a feedback survey, this poster will reveal how students think of the usefulness of these different types of contents.Poster Presented in VALE/NJ ACRL/NJLA CUS Fourteenth Annual Users' Conference: Demonstrating Value for Every User, January 2013
Library 2.011 World-wide Virtual Conference, "The Future of Libraries in the Digital Age", November 2-4, 2011
The purpose of this paper is to present a conference report on the unique organizational features and the common themes found among the three keynote speeches of the Library 2.011 World Wide Virtual Conference held on the internet on November 2-4, 2011. This report was generated based on the author’s personal participation and observation of a virtual conference and a descriptive method was used to report on and summarize the major subjects of three keynote presentations. The paper finds that Library 2.0 is still a live practice among libraries, and the concept itself has become an inspiring theoretical starting point for re-examining information profession, information literacy, and information management behaviours. This article sorts out the theoretical directions of Library 2.0’s research, which will provide a reflective and guiding tool for evaluating current library practice and designing future innovative library services.The published version of this article is available at: 10.1108/07419051111202637. This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited
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