Social and Behavioral Sciences Commons^™

Small Area Estimation In Practice An Applocation To Agricultural Business Survey Data, Nikos Tzavidis, Raymond L. Chambers, Nicola Salvati, Hukum Chandra

Faculty of Engineering and Information Sciences - Papers: Part A

This paper describes an application of small area estimation (SAbl to agricultural business survey data. Both well known small area estimators, such as the empirical best linear unbiased predictor (EBLUP), and more recently proposed small area estimators, for example, tile M-quanlile, the robust EBLUP aml!he Model Ansed Direct estimators arc considered. Mean squared error estimation is discussed. Using a real agricultural business survey dataset, we place emphasis on model diagnostics for specifying the small area working model, on diagnostic measures for validating the reliability of direct and indirect (modelbased) small area e.~timators i1nd on providing practical guidelines to the prospective …

Robust Sampled-Data Control Of Structures Subject To Parameter Uncertainties And Actuator Saturation, Haiping Du, Nong Zhang, Bijan Samali, Fazel Naghdy

Faculty of Engineering and Information Sciences - Papers: Part A

"This paper presents a robust sampled-data controller design approach for vibration attenuation of civil structures considering parameter uncertainties and actuator saturation. The parameter uncertainties belong to polytopic form and are assumed to be the variations of the structural stiffness and damping. Regarding the uncertain sampling problem encountered in real world applications, the sampling period designed for the controller is allowed to be variable within a given bound. In order to obtain reduced peak response quantities, the energy-to-peak performance used to describe the peak values of the control output under all possible energy-bounded disturbances is optimised. The robust sampled-data state feedback …

Public Policy Instruments In (Re)Building National Innovation Capabilities: Cases Of Nanotechnology Development In China, Russia And Brazil, Evgeny A. Klochikhin

Evgeny A. Klochikhin

In 2001 Goldman Sachs named Brazil, Russia, India and China (BRICs) the most rapidly-growing countries in the world capable of surpassing the United States, Japan and Europe as leading economies by 2050.

Nevertheless, for the last decade we have learned relatively little about the mechanisms of success and failure in these countries. All of them have huge territory and population as well as fast-growing economies that sometimes show two-digit rates of GDP growth per year and surprise the world by their increasing budgets and public spending. In the meantime, most of these countries are believed to be desperately struggling against …

The Data Conservancy: Science-Driven Information Science, Christine L. Borgman, Carole L. Palmer

Christine L. Borgman

The Data Conservancy –which is a National Science Foundation funded Datanet project with a diverse array of partners – embraces a shared vision: data curation is not an end, but rather a means to collect, organize, validate, and preserve data to address grand research challenges that face society. Key to the data conservancy approach is information science research on the data practices of the science domains. Three teams are conducting social studies of individual science domains. Prof. Carole Palmer of the University of Illinois will report on their comparative studies of multiple biosciences domains. Prof. Christine Borgman of the University …

The Digital Future Is Now: What The Humanities Can Learn From Escience, Christine L. Borgman

Christine L. Borgman

As the digital humanities mature, their scholarship is taking on many characteristics of the sciences, becoming more data-intensive, information-intensive, distributed, multi-disciplinary, and collaborative. While few scholars in the humanities or arts would wish to be characterized as emulating scientists, they do envy the comparatively rich technical and resource infrastructure of the sciences. The interests of all scholars in the university align with respect to access to data, library resources, and computing infrastructure. However, the scholarly interests of the sciences and humanities diverge regarding research practices, sources of evidence, and degrees of control over those sources. This talk will explore the …

The Digital Archive: The Data Deluge Arrives In The Humanities, Christine L. Borgman

Christine L. Borgman

The data deluge has began to overwhelm the sciences, as instruments such as sensor networks and space telescopes are generating far more data than can possibly be inspected manually. Only digital tools can make sense of these vast volumes of data. As the humanities draw more heavily on digital archives, their scholarship is taking on many characteristics of the sciences, becoming more data-intensive, information-intensive, distributed, multi-disciplinary, and collaborative. However, the humanities typically lack the technical infrastructure available to the sciences. The scholarly interests of the sciences and humanities also diverge with respect to research practices, sources of evidence, and degrees …

Spatial And Temporal Interpolation Of Environmental Data, Tom Smith, Phil Jones, Elizabeth Kent, Maurice Cox, Noel A. Cressie, Dick Dee, Richard Smith

Faculty of Engineering and Information Sciences - Papers: Part A

Environmental data analyzed to a regular spatial and temporal grid is often desired for monitoring and climate studies. For example, monitoring of regional to global temperature change and changes in the daily temperature range and extremes may use analyzed temperatures. We use the term 'analyses' in the broadest sense to encompass any form of transformation to a regular grid (so from simple gridding through to dynamical reanalyses). Resolution depends on the period and region of the analysis: typically coarser analysis grids correspond to longer periods and larger areas. Some analyses are updated in near-real time.

Collaborative Management Of Web Ontology Data With Flexible Access Control, Jie Lu, Chao Wang, Guangquan Zhang, Jun Ma

Faculty of Engineering and Information Sciences - Papers: Part A

The creation and management of ontology data on web sites (e.g. instance data that is used to annotate web pages) is important technical support for the growth of the semantic web. This study identifies some key issues for web ontology data management and describes an ontology data management system, called robinet, to perform the management. This paper presents the structure of the system and introduces a Web ontology data management model that enables a flexible access control mechanism. This model adds rules into the robinet system to utilize the semantics of ontology for controlling the access to ontology data. The …

Validation Of Geant4 Electromagnetic And Hadronic Models Against Proton Data, G A. P Cirrone, G Cuttone, F Di Rosa, S Guatelli, B Mascialino, M G. Pia, G Russo

Faculty of Engineering and Information Sciences - Papers: Part A

A comprehensive, rigorous validation of Geant4 electromagnetic and hadronic models pertinent to the simulation of the proton Bragg peak in water is presented. Geant4 simulation results are validated against high precision experimental data taken in the CATANA hadrontherapy facility.