Social and Behavioral Sciences Commons^™

Persona Categories: Highly Sought Places For Aussies To Live, Lachlan Hastings, Katina Michael

Associate Professor Katina Michael

The site has been touted as potentially useful to retailers trying to determine where to locate future outlets.

However, Australian Privacy Foundation vice-chair Katina Michael said companies applying profiles could get it dramatically wrong or right.

Michael said that consumers had a choice to make in light of the "big data" trend, which often mischaracterised people.

"We can continue to believe the rhetoric that says: "We are doing no harm to individuals, it is hardly tracking when profiling small neighbourhoods"... or we can begin to demand an end to the on-selling of personal information,"she said.

Aspiring To Excellence: Maximising Data To Sustain, Shift And Reshape A Library For The Future, Margie H. Jantti

Senior Deputy Vice-Chancellor and Deputy Vice-Chancellor (Education) - Papers

Perhaps more than ever before, libraries face the challenge of excelling during uncertain times. As library leaders, we have a responsibility to ensure our libraries are reputed as relevant, visible, valued and contemporary. It is imperative that we seek out new methods for maximizing the data that we are invested in and make it more readily accessible and comprehensible to key stakeholders: the senior leadership teams of the library and those of the institution. Yet where does the persuasive evidence lay to demonstrate outcomes aligned to the institution's aims? It is unlikely that library data on its own will be …

Health And Development Of Children Born After Assisted Reproductive Technology And Sub-Fertility Compared To Naturally Conceived Children: Data From A National Study, Alastair G. Sutcliffe, Edward Melhuish, Jacqueline Barnes, Julian Gardiner

Faculty of Social Sciences - Papers (Archive)

In a non-matched case-control study using data from two large national cohort studies, we investigated whether indicators of child health and development up to 7 years of age differ between children conceived using assisted reproductive technology (ART), children born after sub-fertility (more than 24 months of trying for conception) and other children. Information on ART use/sub-fertility was available for 23,649 children. There were 227 cases (children conceived through ART) and two control groups: 783 children born to sub-fertile couples, and 22,639 children born to couples with no fertility issues. In models adjusted for social and demographic factors there were significant …

Identity-Based Secure Distributed Data Storage Schemes, Jinguang Han, Willy Susilo, Yi Mu

Faculty of Engineering and Information Sciences - Papers: Part A

Secure distributed data storage can shift the burden of maintaining a large number of files from the owner to proxy servers. Proxy servers can convert encrypted files for the owner to encrypted files for the receiver without the necessity of knowing the content of the original files. In practice, the original files will be removed by the owner for the sake of space efficiency. Hence, the issues on confidentiality and integrity of the outsourced data must be addressed carefully. In this paper, we propose two identity-based secure distributed data storage (IBSDDS) schemes. Our schemes can capture the following properties: (1) …

Reappraisal Of Uranium-Series Isotope Data In Kamchatka Lavas: Implications For Continental Arc Magma Genesis, Anthony Dosseto, Simon Turner

Faculty of Science, Medicine and Health - Papers: part A

Uranium-series isotopes can be used to determine constraints on the timescale of slab dehydration and melt production at subduction zones. However, interpretations of U–Th–Ra data suggest very different timescales of slab dehydration. Here, we present new U–Th–Ra data from Kamchatka along with a number of alternative models for production of radioactive disequilibrium. Variations in (226Ra/230Th) and (231Pa/235U) activity ratios are best explained by crystal fractionation with host rock assimilation for a duration of less than c. 6000 years. The association of the largest 226Ra excesses with high Sr/Th in the most primitive lavas suggests that Ra–Th fractionation is controlled by …

Pliocene To Pleistocene Climate And Environmental History Of Lake El'gygytgyn, Far East Russian Arctic, Based On High-Resolution Inorganic Geochemistry Data, V Wennrich, P S. Minyuk, V Borkhodoev, Alexander Francke, B Ritter, Norbert R. Nowaczyk, M A. Sauerbrey, J Brigham-Grette, Martin Melles

Faculty of Science, Medicine and Health - Papers: part A

The 3.6 Ma sediment record of Lake El'gygytgyn/NE Russia, Far East Russian Arctic, represents the longest continuous climate archive of the terrestrial Arctic. Its elemental composition as determined by X-ray fluorescence scanning exhibits significant changes since the mid-Pliocene caused by climate-driven variations in primary production, postdepositional diagenetic processes, and lake circulation as well as weathering processes in its catchment. During the mid- to late Pliocene, warmer and wetter climatic conditions are reflected by elevated Si / Ti ratios, indicating enhanced diatom production in the lake. Prior to 3.3 Ma, this signal is overprinted by intensified detrital input from the catchment, …

Data Scientists As Game Changers In Big Data Environments, Akemi T. Chatfield, Vivian N. Shlemoon, Wilbur Redublado, Faizur Rahman

Faculty of Engineering and Information Sciences - Papers: Part A

The potential power of big data to generate insights and create new forms of value in the ways which transform organizations and society has been observed by big data-driven organizations and big data experts. Despite the recent sensational declaration of a data scientist as "the sexiest job of the 21st century", however, there has been the lack of rigorous studies of what a data scientist is, and what job skill requirements this hottest job title may need. In order to address this gap, we systematically examine relevant source material to extract definitions and categorize them with a classification scheme developed …

Roles Of Social Media In Open Data Environments: A Case Study Of The 2014 Indonesian Presidential Election Voting Results, Uuf Brajawidagda, Akemi T. Chatfield

Faculty of Engineering and Information Sciences - Papers: Part A

Open data initiatives are critical to open government policies which promote transparency, citizen engagement and collaboration. However, they face challenges in realizing their potential benefits through citizens' active engagement. Despite the sharp rise of social media use by governments or quasi-governmental organizations to engage citizens in transforming public service quality and offers, very little has been written on enabling roles of social media in influencing the outcome of open data initiatives. This research examines the potential enabling roles of social media in motivating and having citizens' engagement easier in open data environments. Specifically, we present social media use in supporting …

Multi-Objective Ant Colony System For Data-Intensive Service Provision, Lijuan Wang, Jun Shen, Junzhou Luo

Faculty of Engineering and Information Sciences - Papers: Part A

Data-intensive services have become one of the most challenging applications in cloud computing. The classical service composition problem will face new challenges as the services and correspondent data grow. A typical environment is the large scale scientific project AMS, which we are processing huge amount of data streams. In this paper, we will resolve service composition problem by considering the multi-objective data-intensive features. We propose to apply ant colony optimization algorithms and implemented them with simulated workflows in different scenarios. To evaluate the proposed algorithm, we compared it with a multi-objective genetic algorithm with respect to five performance metrics

A Structure Optimization Algorithm Of Neural Networks For Large-Scale Data Sets, Jie Yang, Jun Ma, Matthew J. Berryman, Pascal Perez

Faculty of Engineering and Information Sciences - Papers: Part A

Over the past several decades, neural networks have evolved into powerful computation systems, which are able to learn complex nonlinear input-output relationship from data. However, the structure optimization problem of neural network is a big challenge for processing huge-volumed, diversified and uncertain data. This paper focuses on this problem and introduces a network pruning algorithm based on sparse representation, termed SRP. The proposed approach starts with a large network, then selects important hidden neurons from the original structure using a forward selection criterion that minimizes the residual output error. Furthermore, the presented algorithm has no constraints on the network type. …

Multi-Phase Ant Colony System For Multi-Party Data-Intensive Service Provision, Lijuan Wang, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part A

The rapid proliferation of enormous sources of digital data has led to greater dependence on data-intensive services. Each service may actually request or create a large amount of data sets. To compose these services will be more challenging. Issues such as autonomy, scalability, adaptability, and robustness, become difficult to resolve. In order to automate the process of reaching an agreement among service composers, service providers, and data providers, an ant-inspired negotiation mechanism is considered in this paper. We exploit a group of agents automatically negotiating to establish agreeable service contracts. Twostage negotiation procedures are used in our data-intensive service provision …

An Improved Genetic Algorithm For Cost-Effective Data-Intensive Service Composition, Lijuan Wang, Jun Shen, Junzhou Luo, Fang Dong

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 IT trends in the current decade. Designing workflow of data-intensive services requires data analysis from multiple sources to get required composite services. Composing such services requires effective transfer of large data. Thus many new challenges are posed to control the cost and revenue of the whole composition. This paper addresses the data-intensive service composition and presents an innovative data-intensive service selection algorithm based on a modified genetic algorithm. The performance of this new algorithm is also tested by simulations and …

Linear Regression With Nested Errors Using Probability-Linked Data, Klairung Samart, Raymond Chambers

Faculty of Engineering and Information Sciences - Papers: Part A

Probabilistic matching of records is widely used to create linked data sets for use in health science, epidemiological, economic, demographic and sociological research. Clearly, this type of matching can lead to linkage errors, which in turn can lead to bias and increased variability when standard statistical estimation techniques are used with the linked data. In this paper we develop unbiased regression parameter estimates to be used when fitting a linear model with nested errors to probabilistically linked data. Since estimation of variance components is typically an important objective when fitting such a model, we also develop appropriate modifications to standard …

Ant-Inspired Multi-Phase And Multi-Party Negotiations In The Data-Intensive Service Provision, Lijuan Wang, Jun Shen, Qingguo Zhou, Ghassan Beydoun

Faculty of Engineering and Information Sciences - Papers: Part A

The rapid proliferation of enormous sources of digital data and the development of cloud computing have led to greater dependence on data-intensive services. Each service may actually request or create a large amount of data sets. To compose these services will be more challenging. Issues of autonomy, scalability, adaptability, and robustness, become difficult to resolve. In order to automate the process of reaching an agreement in data-intensive service provision, the ant-inspired negotiation mechanism is considered in this paper. There are twostage negotiation procedures in our model, which will provide effective and efficient service selection for service composers. We also present …

An Adaptively Cca-Secure Ciphertext-Policy Attribute-Based Proxy Re-Encryption For Cloud Data Sharing, Kaitai Liang, Man Ho Au, Willy Susilo, Duncan Wong, Guomin Yang, Yong Yu

Faculty of Engineering and Information Sciences - Papers: Part A

A Ciphertext-Policy Attribute-Based Proxy Re-Encryption (CP-ABPRE) employs the PRE technology in the attribute-based en- cryption cryptographic setting, in which the proxy is allowed to convert an encryption under an access policy to another encryption under a new access policy. CP-ABPRE is applicable to many real world applications, such as network data sharing. The existing CP-ABPRE systems, how- ever, leave how to achieve adaptive CCA security as an interesting open problem. This paper, for the rst time, proposes a new CP-ABPRE to tackle the problem by integrating the dual system encryption technology with selective proof technique. The new scheme supports any …

A Comparative Analysis Of Multichannel Data Acquisition Systems For Quality Assurance In External Beam Radiation Therapy, Iolanda Fuduli, Claudiu Porumb, Anthony Espinoza, Abdullah Aldosari, Martin Carolan, Michael Lf Lerch, Peter E. Metcalfe, Anatoly Rosenfeld, Marco Petasecca

Faculty of Engineering and Information Sciences - Papers: Part A

The paper presents a comparative study performed by the Centre of Medical Radiation Physics (CMRP) on three multichannel Data Acquisition Systems (DAQ) based on different analogue front-ends to suit a wide range of radiotherapy applications. The three front-ends are: a charge-to-frequency converter developed by INFN Torino, an electrometer and a charge-to-digital converter (both commercial devices from Texas Instruments). For the first two (named DAQ A and B), the CMRP has designed the read-out systems whilst the third one (DAQ C) comes with its own evaluation board. For the purpose of the characterization DAQ A and DAQ B have been equipped …

Enhanced Privacy Of A Remote Data Integrity-Checking Protocol For Secure Cloud Storage, Yong Yu, Man Ho Au, Yi Mu, S Tang, J Ren, Willy Susilo, Liju Dong

Faculty of Engineering and Information Sciences - Papers: Part A

Remote data integrity checking (RDIC) enables a server to prove to an auditor the integrity of a stored file. It is a useful technology for remote storage such as cloud storage. The auditor could be a party other than the data owner; hence, an RDIC proof is based usually on publicly available information. To capture the need of data privacy against an untrusted auditor, Hao et al. formally defined "privacy against third party verifiers" as one of the security requirements and proposed a protocol satisfying this definition. However, we observe that all existing protocols with public verifiability supporting data update, …

Attribute-Based Data Transfer With Filtering Scheme In Cloud Computing, Jinguang Han, Willy Susilo, Yi Mu, Jun Yan

Faculty of Engineering and Information Sciences - Papers: Part A

Data transfer is a transmission of data over a point-to-point or point-to-multipoint communication channel. To protect the confidentiality of the transferred data, public-key cryptography has been introduced in data transfer schemes (DTSs). Data transfer is a transmission of data over a point-to-point or point-to-multipoint communication channel. To protect the confidentiality of the transferred data, public-key cryptography has been introduced in data transfer schemes (DTSs). Unfortunately, there exist some drawbacks in the current DTSs. First, the sender must know who the real receivers are. This is undesirable in a system where the number of the users is very large, such as …

A Review Of Data Quality Assessment Methods For Public Health Information Systems, Hong Chen, David Hailey, Ning Wang, Ping Yu

Faculty of Engineering and Information Sciences - Papers: Part A

High quality data and effective data quality assessment are required for accurately evaluating the impact of public health interventions and measuring public health outcomes. Data, data use, and data collection process, as the three dimensions of data quality, all need to be assessed for overall data quality assessment. We reviewed current data quality assessment methods. The relevant study was identified in major databases and well-known institutional websites. We found the dimension of data was most frequently assessed. Completeness, accuracy, and timeliness were the three most-used attributes among a total of 49 attributes of data quality. The major quantitative assessment methods …

Impacts Of Pheromone Modification Strategies In Ant Colony For Data-Intensive Service Provision, Lijuan Wang, Jun Shen, Junzhou Luo

Faculty of Engineering and Information Sciences - Papers: Part A

In the provision of dynamic data-intensive services, the cost and response time of data sets as well as the states of services may change over time. An ant colony system for this problem is studied in this paper. Specifically, we consider changing the QoS attributes of services and replacing a certain number of services with new ones at different frequencies. In order to adapt the ant colony system to handle the dynamic scenarios, several pheromone modification strategies in reaction to changes of the optimization scenarios are investigated. The aim of the strategies is to find a balance between preserving enough …

New Insight To Preserve Online Survey Accuracy And Privacy In Big Data Era, Joseph K. Liu, Man Ho Au, Xinyi Huang, Willy Susilo, Jianying Zhou, Yong Yu

Faculty of Engineering and Information Sciences - Papers: Part A

An online survey system provides a convenient way for people to conduct surveys. It removes the necessity of human resources to hold paper surveys or telephone interviews and hence reduces the cost significantly. Nevertheless, accuracy and privacy remain as the major obstacles that need additional attention. To conduct an accurate survey, privacy maybe lost, and vice versa. In this paper, we provide new insight to preserve these two seeming contradictory issues in online survey systems especially suitable in big data era. We propose a secure system, which is shown to be efficient and practical by simulation data. Our analysis further …

Learning Diagnostic Diagrams In Transport-Based Data-Collection Systems, Vu Tran, Peter W. Eklund, Christopher David Cook

Faculty of Engineering and Information Sciences - Papers: Part A

Insights about service improvement in a transit network can be gained by studying transit service reliability. In this paper, a general procedure for constructing a transit service reliability diagnostic (Tsrd) diagram based on a Bayesian network is proposed to automatically build a behavioural model from Automatic Vehicle Location (AVL) and Automatic Passenger Counters (APC) data. Our purpose is to discover the variability of transit service attributes and their effects on traveller behaviour. A Tsrd diagram describes and helps to analyse factors affecting public transport by combining domain knowledge with statistical data.