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Articles 1 - 15 of 15
Full-Text Articles in Social and Behavioral Sciences
Cost And Time Aware Ant Colony Algorithm For Data Replica In Alpha Magnetic Spectrometer Experiment, Lijuan Wang, Junzhou Luo, Jun Shen, Fang Dong
Cost And Time Aware Ant Colony Algorithm For Data Replica In Alpha Magnetic Spectrometer Experiment, Lijuan Wang, Junzhou Luo, Jun Shen, Fang Dong
Faculty of Engineering and Information Sciences - Papers: Part A
Huge collections of data have been created in recent years. Cloud computing provides a way to enable massive amounts of data to work together as data-intensive services. Considering Big Data and the cloud together, which is a practical and economical way to deal with Big Data, will accelerate the availability and acceptability of analysis of the data. Providing an efficient mechanism for optimized data-intensive services will become critical to meet the expected growth in demand. Because the competition is an extremely important factor in the marketplace, the cost model for data-intensive service provision is the key to provide a sustainable …
A Random Effect Block Bootstrap For Clustered Data, Raymond L. Chambers, Hukum Chandra
A Random Effect Block Bootstrap For Clustered Data, Raymond L. Chambers, Hukum Chandra
Faculty of Engineering and Information Sciences - Papers: Part A
Random effects models for hierarchically dependent data, e.g. clustered data, are widely used. A popular bootstrap method for such data is the parametric bootstrap based on the same random effects model as that used in inference. However, it is hard to justify this type of bootstrap when this model is known to be an approximation. In this paper we describe a random effect block bootstrap approach for clustered data that is simple to implement, free of both the distribution and the dependence assumptions of the parametric bootstrap and is consistent when the mixed model assumptions are valid. Results based on …
Sample Design Using Imperfect Design Data, Robert Graham Clark
Sample Design Using Imperfect Design Data, Robert Graham Clark
Faculty of Engineering and Information Sciences - Papers: Part A
A well-designed sampling plan can greatly enhance the information that can be produced from a survey. Once a broad sample design is identified, specific design parameters such as sample sizes and selection probabilities need to be chosen. This is typically achieved using an optimal sample design, which minimizes the variance of a key statistic or statistics, expressed as a function of design parameters and population characteristics, subject to a cost constraint. In practice, only imprecise estimates of population characteristics are available, but the effects of this variability are usually ignored. A general approach to sample allocation allowing for imprecise design …
Parameter Identification Study Of Frequency Response Data For A Trilayer Conjugated Polymer Actuator Displacement Model, Emmanuel D. Blanchard, Mitchell J. Smith, Chuc H. Nguyen
Parameter Identification Study Of Frequency Response Data For A Trilayer Conjugated Polymer Actuator Displacement Model, Emmanuel D. Blanchard, Mitchell J. Smith, Chuc H. Nguyen
Faculty of Engineering and Information Sciences - Papers: Part A
This article investigates the effect of three uncertain parameters on a model of conjugated polymer actuators. These uncertain parameters are the diffusion coefficient (D), the resistance (R), and the double-layer WKLFNQHVV / 7KH PRGHO VHQVLWLvity to these parameters is analyzed and a parameter estimation study is performed using artificially generated data as well as laboratory yielded experimental measurements. The parameter estimation method used in this article is based on a Bayesian cost function, and gives us an insight on how much the estimation can be trusted, which is useful information for the design of controllers. Results indicate that for stochastic …
An Extension Of The Wilcoxon-Mann-Whitney Test For Analyzing Rt-Qpcr Data, Jan De Neve, Olivier Thas, Jean-Pierre Ottoy, Lieven Clement
An Extension Of The Wilcoxon-Mann-Whitney Test For Analyzing Rt-Qpcr Data, Jan De Neve, Olivier Thas, Jean-Pierre Ottoy, Lieven Clement
Faculty of Engineering and Information Sciences - Papers: Part A
Classical approaches for analyzing reverse transcription quantitative polymerase chain reaction (RT-qPCR) data commonly require normalization before assessing differential expression (DE). Normalization often has a substantial effect on the interpretation and validity of the subsequent analysis steps, but at the same time it causes a reduction in variance and introduces dependence among the normalized outcomes. These effects can be substantial, however, they are typically ignored. Most normalization techniques and methods for DE focus on mean expression and are sensitive to outliers. Moreover, in cancer studies, for example, oncogenes are often only expressed in a subsample of the populations during sampling. This …
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 …
A Personalized Hybrid Recommendation System Oriented To E-Commerce Mass Data In The Cloud, Fang Dong, Junzhou Luo, Xia Zhu, Yuxiang Wang, Jun Shen
A Personalized Hybrid Recommendation System Oriented To E-Commerce Mass Data In The Cloud, Fang Dong, Junzhou Luo, Xia Zhu, Yuxiang Wang, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
Personalized recommendation technology in Ecommerce is widespread to solve the problem of product information overload. However, with the further growth of the number of E-commerce users and products, the original recommendation algorithms and systems will face several new challenges: (1) to model user’s interests more accurately; (2) to provide more diverse recommendation modes; and (3) to support large-scale expansion. To address these challenges, from the actual demands of E-commerce applications (as Made-in-China website), a personalized hybrid recommendation system, which can support massive data set, is designed and implemented in this paper by using Cloud technology. Hereinto, the recommendation algorithms are …
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. …
Approximation Algorithm For Data Broadcasting In Duty Cycled Multi-Hop Wireless Networks, Dianbo Zhao, Kwan-Wu Chin
Approximation Algorithm For Data Broadcasting In Duty Cycled Multi-Hop Wireless Networks, Dianbo Zhao, Kwan-Wu Chin
Faculty of Engineering and Information Sciences - Papers: Part A
Broadcast is a fundamental operation in wireless networks. To this end, many past studies have studied the NP-hard, broadcast problem for always-on multi-hop networks. However, in wireless sensor networks, nodes are powered by batteries, meaning, they have finite energy. Consequently, nodes are required to have a low duty cycle, whereby they switch between active and sleep state periodically. This means that a transmission from a node may not reach all of its neighbors simultaneously. Consequently, any developed broadcast protocols must consider collisions and the wake-up times of neighboring nodes. Henceforth, this paper studies the minimum latency broadcast scheduling problem in …
Transmit Antenna Subset Selection With Power Balancing For High Data Rate Mimo-Ofdm Uwb Systems, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei
Transmit Antenna Subset Selection With Power Balancing For High Data Rate Mimo-Ofdm Uwb Systems, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei
Faculty of Engineering and Information Sciences - Papers: Part A
This paper proposes per-subcarrier transmit antenna subset selection with power balancing for MIMO-OFDM UWB systems to simultaneously improve the system error performance and increase data rates. The deployment of the per-subcarrier antenna subset selection may result in a power unbalance across antennas, which could cause power amplifiers (PAs) to operate in their non-linear regions. To overcome this disadvantage, we formulate a linear optimization problem for the optimal allocation of data subcarriers under a constraint that all antennas have the same number of assigned data symbols. This optimization problem could be applied to systems with an arbitrary number of multiplexed data …
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 …
Towards Minimizing Cost For Composite Data-Intensive Services, Lijuan Wang, Changyan Di, Yan Li, Jun Shen, Qingguo Zhou
Towards Minimizing Cost For Composite Data-Intensive Services, Lijuan Wang, Changyan Di, Yan Li, Jun Shen, Qingguo Zhou
Faculty of Engineering and Information Sciences - Papers: Part A
Service-oriented architecture provides a scalable and flexible framework to implement loosely-coupled, standardsbased, and protocol-independent distribute computing. One of its goals is to make use of the distributed services with different functions to build powerful composite services. Service composition is an active research area in service computing. Existing research is endeavoring to achieve desirable quality levels of composite services and improve customer satisfaction. The service-oriented approach using Web services is also of great interest for the implementation of data-intensive processes such as data mining, image processing and so on. The applications based on data-intensive services have become the most challenging type …
Economical Data-Intensive Service Provision Supported With A Modified Genetic Algorithm, Lijuan Wang, Jun Shen
Economical Data-Intensive Service Provision Supported With A Modified Genetic Algorithm, Lijuan Wang, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
The explosion of digital data and the dependence on data-intensive services have been recognized as the most significant characteristics of the decade. Providing efficient mechanisms for optimized data-intensive services will become critical to meet the expected growing demand. In order to create a cost minimizing data-intensive service composition solution, we design two steps and two negotiation processes over the lifetime of a data-intensive service composition. The solution for the first step is presented in this paper. The proposed service selection algorithm is based on a modified genetic algorithm, which some modifications of crossover and mutation operators are adopted in order …