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Articles 61 - 79 of 79
Full-Text Articles in Science and Technology Studies
Choosing An Optimal Model For Failure Data Analysis By Graphical Approach, Tieling Zhang, Richard Dwight
Choosing An Optimal Model For Failure Data Analysis By Graphical Approach, Tieling Zhang, Richard Dwight
Faculty of Engineering and Information Sciences - Papers: Part A
Many models involving combination of multiple Weibull distributions, modification of Weibull distribution or extension of its modified ones, etc. have been developed to model a given set of failure data. The application of these models to modeling a given data set can be based on plotting the data on Weibull probability paper (WPP). Of them, two or more models are appropriate to model one typical shape of the fitting plot, whereas a specific model may be fit for analyzing different shapes of the plots. Hence, a problem arises, that is how to choose an optimal model for a given data …
Do We Have The Reliable Data? An Exploration Of Data Quality For Aids Information System In China, Hong Chen, Ping Yu, Ning Wang
Do We Have The Reliable Data? An Exploration Of Data Quality For Aids Information System In China, Hong Chen, Ping Yu, Ning Wang
Faculty of Engineering and Information Sciences - Papers: Part A
A national AIDS program evaluation system has been applied to the ranking of the performance of involved public health organizations in China since 2007. The system provides quantitative performance comparison information based on automatic mining of the data stored in a unified web-based national information system, China AIDS Comprehensive Response Information Management System (the CRIMS). Hence, the quality of the AIDS program evaluation system is directly related to the data quality in the CRIMS. This study aims to evaluate the performance of the AIDS program evaluation system. The research method is qualitative interview of public health practitioners in Jiangxi Province. …
Ionization Cross Section Data Of Nitrogen, Methane, And Propane For Light Ions And Electrons And Their Suitability For Use In Track Structure Simulations, Marion Bug, Elisabetta Gargioni, Heidi Nettelbeck, Woon Yong Baek, Gerhard Hilgers, Anatoly B. Rosenfeld, Hans Rabus
Ionization Cross Section Data Of Nitrogen, Methane, And Propane For Light Ions And Electrons And Their Suitability For Use In Track Structure Simulations, Marion Bug, Elisabetta Gargioni, Heidi Nettelbeck, Woon Yong Baek, Gerhard Hilgers, Anatoly B. Rosenfeld, Hans Rabus
Faculty of Engineering and Information Sciences - Papers: Part A
Track structure Monte Carlo simulations are frequently applied in micro- and nanodosimetry to calculate the radiation transport in detail. The use of a well-validated set of cross section data in such simulation codes ensures accurate calculations of transport parameters, such as ionization yields. These cross section data are, however, scarce and often discrepant when measured by different groups. This work surveys literature data on ionization and charge-transfer cross sections of nitrogen, methane, and propane for electrons, protons, and helium particles, focusing on the energy range between 100 keV and 20 MeV. Based on the evaluated data, different models for the …
Integrating Building Information Modelling (Bim) Into Engineering Education: An Exploratory Study Of Industry Perceptions Using Social Network Data, Kriengsak Panuwatwanich, Mei Liang Wong, Jeung-Hwan Doh, Rodney A. Stewart, Timothy J. Mccarthy
Integrating Building Information Modelling (Bim) Into Engineering Education: An Exploratory Study Of Industry Perceptions Using Social Network Data, Kriengsak Panuwatwanich, Mei Liang Wong, Jeung-Hwan Doh, Rodney A. Stewart, Timothy J. Mccarthy
Faculty of Engineering and Information Sciences - Papers: Part A
Building Information Modelling (BIM) has been widely acknowledged as an emerging technological and procedural shift within the Architecture, Engineering and Construction (AEC) industry. BIM represents a methodology to manage the building design and project data in digital format throughout a building lifecycle. With the implementation of BIM, the design, construction and operation processes can be better streamlined to improve project efficiency. Because of its far-reaching benefits, there is a current push for BIM by governments worldwide, including Australia. However, a significant lack of the understanding of BIM and industry readiness has been identified as a major hindrance; hence, there is …
A Scalable Unsupervised Feature Merging Approach To Efficient Dimensionality Reduction Of High-Dimensional Visual Data, Lingqiao Liu, Lei Wang
A Scalable Unsupervised Feature Merging Approach To Efficient Dimensionality Reduction Of High-Dimensional Visual Data, Lingqiao Liu, Lei Wang
Faculty of Engineering and Information Sciences - Papers: Part A
To achieve a good trade-off between recognition accuracy and computational efficiency, it is often needed to reduce high-dimensional visual data to medium-dimensional ones. For this task, even applying a simple full-matrix-based linear projection causes significant computation and memory use. When the number of visual data is large, how to efficiently learn such a projection could even become a problem. The recent feature merging approach offers an efficient way to reduce the dimensionality, which only requires a single scan of features to perform reduction. However, existing merging algorithms do not scale well with high-dimensional data, especially in the unsupervised case. To …
The Problem Of Data, Lori Jahnke, Andrew Asher, Spencer D.C. Keralis
The Problem Of Data, Lori Jahnke, Andrew Asher, Spencer D.C. Keralis
Other Faculty Research and Publications
Jahnke and Asher explore workflows and methodologies at a variety of academic data curation sites, and Keralis delves into the academic milieu of library and information schools that offer instruction in data curation. Their conclusions point to the urgent need for a reliable and increasingly sophisticated professional cohort to support data-intensive research in our colleges, universities, and research centers.
Beyond The Low Hanging Fruit: Archving Complex Data And Data Services At University Of New Mexico, Robert Olendorf, Steve Koch
Beyond The Low Hanging Fruit: Archving Complex Data And Data Services At University Of New Mexico, Robert Olendorf, Steve Koch
DataONE Sociocultural and Usability & Assessment Working Groups
Open data is becoming increasingly important in research. While individual researchers are slowly becoming aware of the value, funding agencies are taking the lead by requiring data be made available, and also by requiring data management plans to ensure the data is available in a useable form. Some journals also require that data be made available. However, in most cases, “available upon request” is considered sufficient. We describe a number of historical examples of data use and discovery, then describe two current test cases at the University of New Mexico. The lessons learned suggest that an instituional data services program …
Double Space-Time Transmit Diversity For Very High Data Rate Mb-Ofdm Uwb Systems, Ngoc P. Le, Le C. Tran, Farzad Safaei
Double Space-Time Transmit Diversity For Very High Data Rate Mb-Ofdm Uwb Systems, Ngoc P. Le, Le C. Tran, Farzad Safaei
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, we investigate a multiband-orthogonal frequency division multiplexing ultra-wideband (MB-OFDM UWB) system with very high data rates (VHDR) of several gigabits per second (Gbps). We propose a DSTTD-based VHDR MB-OFDM UWB system by incorporating a double space-time transmit diversity (DSTTD) scheme into the conventional MB-OFDM UWB system. At the receiver, an efficient soft-demapper that takes into consideration the noise enhancement due to a zero-forcing equalization is developed. Numerical simulations of the proposed system at a very high data rate of 2.Gbps over the IEEE 802.15.3a channel models are implemented. The simulation results show that this system could achieve …
The Algorithm Of Equal Acceptance Region For Detecting Copy Number Alterations: Applications To Next-Generation Sequencing Data, Yan-Xia Lin
Faculty of Engineering and Information Sciences - Papers: Part A
The information of copy number alterations (gains and losses) in tumour genomes can be used to discovery cancer-causing genes. The estimate of copy number can be obtained from the estimate copy number ratio. The higher the depth of underlying sequencing data, the more accurate the estimate of copy number ratio. At the same time, the higher depth of a sequencing data used in copy number analysis, the more cost of data analysis. To develop a method for identifying a necessary depth of sequencing data for copy number analysis before test data are produced is of interest. In this paper, we …
Estimation Of Regression Parameters From Noise Multiplied Data, Yan-Xia Lin, Phillip Wise
Estimation Of Regression Parameters From Noise Multiplied Data, Yan-Xia Lin, Phillip Wise
Faculty of Engineering and Information Sciences - Papers: Part A
This paper considers the scenario that all data entries in a confidentialised unit record file were masked by multiplicative noises, regardless of whether unit records are sensitive or not and regardless of whether the masked variables are dependent or independent variables in the underlying regression analysis. A technique is introduced in this paper to show how to estimate parameters in a regression model, which is originally fitted by unmasked data, based on masked data. Several simulation studies and a real-life data application are presented.
Robust Sampled-Data Control Of Structures Subject To Parameter Uncertainties And Actuator Saturation, Haiping Du, Nong Zhang, Bijan Samali, Fazel Naghdy
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 …
Data Driven Encoding Of Structures And Link Predictions In Large Xml Document Collections, M Hagenbuchner, A C. Tsoi, M Kc, Shujia Zhang
Data Driven Encoding Of Structures And Link Predictions In Large Xml Document Collections, M Hagenbuchner, A C. Tsoi, M Kc, Shujia Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
In recent years there have been some significant research towards the ability of processing related data, particularly the relatedness among atomic elements in a structure with those in another structure. A number of approaches have been developed with various degrees of success. This chapter provides an overview of machine learning approaches for the encoding of related atomic elements in one structure with those in other structures. The chapter briefly reviews a number of unsupervised approaches for such data structures which can be used for solving generic classification, regression, and clustering problems. We will apply this approach to a particularly interesting …
Analysis Of Voltage Quality Data From Smart Meters, P K. C Wong, R A. Barr, A Kalam
Analysis Of Voltage Quality Data From Smart Meters, P K. C Wong, R A. Barr, A Kalam
Faculty of Engineering and Information Sciences - Papers: Part A
Initial analysis of voltage quality information collected from smart meters at premise level is presented. The information reveals instances of over and under voltage at some consumer premises. This revelation means supply authorities now have an obligation to rectify their supply voltages in accordance with codes and regulations. The analysis provides the foundation for future research work to identify effective solutions to the observed over and under voltage problems in the supply network. © 2012 Institut Teknologi Sepulul.
Very High Data Rate Mb-Ofdm Uwb Systems With Transmit Diversity Techniques, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei
Very High Data Rate Mb-Ofdm Uwb Systems With Transmit Diversity Techniques, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, the application of space time block codes in a very high data rate multiband-OFDM ultra-wideband (VHDR MB-OFDM UWB) system, where the Modified Dual Carrier Modulation (MDCM) scheme and Low Density Parity Check codes are deployed, is investigated. First, we present a new table-based mapping approach and derive soft-demapping expressions for the MDCM scheme. We then propose a space-time-frequency coded VHDR MB-OFDM UWB system by incorporating space time block codes into the conventional VHDR MB-OFDM UWB system. Numerical simulations of the system supporting a data rate of 1Gbps over the IEEE 802.15.3a channel models are implemented. The simulation …
Small Area Estimation In Practice An Applocation To Agricultural Business Survey Data, Nikos Tzavidis, Raymond L. Chambers, Nicola Salvati, Hukum Chandra
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 …
Underground Coal Mine Delay Data Analysis System, Ernest Y. Baafi, Ian Porter
Underground Coal Mine Delay Data Analysis System, Ernest Y. Baafi, Ian Porter
Faculty of Engineering and Information Sciences - Papers: Part A
Due to the high levels of uncertainty in underground coal mining operations, delays occur regularly which inadvertently reduce the utilisation of mining equipment. In most coal mines delay data is primarily sourced from shift reports, machine monitoring and production systems. The recording process is initiated commonly at the end of a shift to ensure the correct information is recorded for the managerial decision process. An issue that the Australian coal industry faces is the lack of a standardised delay recording process and delay classification system. Tools used within the industry to analyse delay data are mostly mine specific and offer …
Spatial And Temporal Interpolation Of Environmental Data, Tom Smith, Phil Jones, Elizabeth Kent, Maurice Cox, Noel A. Cressie, Dick Dee, Richard Smith
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
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
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.