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Full-Text Articles in Social and Behavioral Sciences
Cloud Computing Data Breaches: A Socio-Technical Review Of Literature, David Kolevski, Katina Michael
Cloud Computing Data Breaches: A Socio-Technical Review Of Literature, David Kolevski, Katina Michael
Professor Katina Michael
As more and more personal, enterprise and government data, services and infrastructure moves to the cloud for storage and processing, the potential for data breaches increases. Already major corporations that have outsourced some of their IT requirements to the cloud have become victims of cyber attacks. Who is responsible and how to respond to these data breaches are just two pertinent questions facing cloud computing stakeholders who have entered an agreement on cloud services. This paper reviews literature in the domain of cloud computing data breaches using a socio-technical approach. Socio-technical theory encapsulates three major dimensions- the social, the technical, …
Tour-Based Travel Mode Choice Estimation Based On Data Mining And Fuzzy Techniques, Nagesh Shukla, Jun Ma, Rohan Wickramasuriya, Nam N. Huynh, Pascal Perez
Tour-Based Travel Mode Choice Estimation Based On Data Mining And Fuzzy Techniques, Nagesh Shukla, Jun Ma, Rohan Wickramasuriya, Nam N. Huynh, Pascal Perez
Nagesh Shukla
No abstract provided.
Identity Awareness And Re-Use Of Research Data In Veillance And Social Computing, Alexander Hayes, Stephen Mann, Amir Aryani, Susannah Sabine, Leigh Blackall, Pia Waugh, Stephan Ridgway
Identity Awareness And Re-Use Of Research Data In Veillance And Social Computing, Alexander Hayes, Stephen Mann, Amir Aryani, Susannah Sabine, Leigh Blackall, Pia Waugh, Stephan Ridgway
Alexander Hayes Mr.
Identity awareness of research data has been introduced as a requirement for open research, transparency and reusability of research data in the context of eScience. This requirement includes the capability of linking research data to researchers, research projects and publications, and identifying the license for the data. This connectivity between research data and other elements in research ecosystems is required in order to make the data available and reusable beyond the initial research. In this paper, we examine these capabilities in the domains of veillance and social computing. The dataset cases presented in this paper articulate the challenges that researchers …
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
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
Anthony A Espinoza Mr
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 …
Sample Design Using Imperfect Design Data, Robert Clark
Sample Design Using Imperfect Design Data, Robert Clark
Robert Clark
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 …
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
Ah Chung Tsoi
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 …
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
Professor Farzad Safaei
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 …
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
Professor Farzad Safaei
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 …
Ignoring A Level In A Multilevel Model: Evidence From Uk Census Data, Mark Tramner, David Steel
Ignoring A Level In A Multilevel Model: Evidence From Uk Census Data, Mark Tramner, David Steel
Professor David Steel
Because of the inherent multilevel nature of census data, it is often appropriate to use multilevel models to investigate relationships between census variables. For a local population, the data available from the census allow a three-level nested model to be assumed, with an individual level (level 1), an enumeration district (ED) level (level 2), and a ward level (level 3). The consequences of ignoring one of the three levels in this model are assessed here theoretically. Empirical results, based on 1991 UK Census data, are also provided, comparing the variance components estimated from the three-level model with analyses based on …
Analysis Combining Survey And Geographically Aggregated Data, David Steel, Mark Tranmer, D Holt
Analysis Combining Survey And Geographically Aggregated Data, David Steel, Mark Tranmer, D Holt
Professor David Steel
This chapter contains sections titled: Introduction and Overview Aggregate and Survey Data Availability Bias and Variance of Variance Component Estimators Based on Aggregate and Survey Data Simulation Studies Using Auxiliary Variables to Reduce Aggregation Effects Conclusions Acknowledgements
Restricted Quasi-Score Estimating Functions For Sample Survey Data, Yan Lin, David Steel, Raymond Chambers
Restricted Quasi-Score Estimating Functions For Sample Survey Data, Yan Lin, David Steel, Raymond Chambers
Professor David Steel
This paper applies the theory of the quasi-likelihood method to model-based inference for sample surveys. Currently, much of the theory related to sample surveys is based on the theory of maximum likelihood. The maximum likelihood approach is available only when the full probability structure of the survey data is known. However, this knowledge is rarely available in practice. Based on central limit theory, statisticians are often willing to accept the assumption that data have, say, a normal probability structure. However, such an assumption may not be reasonable in many situations in which sample surveys are used. We establish a framework …
The Information In Aggregate Data, David Steel, Eric Beh, Raymond Chambers
The Information In Aggregate Data, David Steel, Eric Beh, Raymond Chambers
Professor David Steel
Ecological inference attempts to draw conclusions concerning individual-level relationships using data in the form of aggregates for groups in the population. The groups are often geographically defined. A fundamental statistical issue is how much information aggregate data contain concerning the relationships and parameters that we are trying to estimate. The information affects the standard errors of estimates as well as the power of any tests of hypothesis. It also affects the ability to tell, from the aggregate data, which different models under consideration are supported by the data. In this chapter likelihood-based methods are considered. We show in general how …
The Smart Way To Manage Research Data, Craig Napier, Despina Clancy, Tim Davies, Katie Elcombe
The Smart Way To Manage Research Data, Craig Napier, Despina Clancy, Tim Davies, Katie Elcombe
Craig Napier
The University of Wollongongs' $62 million SMART (Simulation, Modelling, Analysis, Research, Teaching) Infrastructure Facility will become a research and development powerhouse with an unprecedented level of impact within the broader infrastructure sector nationally and overseas [1]. With a vision to be a world class intellectual leader and educator in 'integrated' infrastructure planning and management and the capacity to host 200 PhD students, comprising 30 integrated research laboratories, data demands and volume are increasing exponetially.
Book Review: The Basics Of Information Security: Understanding The Fundamentals Of Infosec In Theory And Practice, Katina Michael
Book Review: The Basics Of Information Security: Understanding The Fundamentals Of Infosec In Theory And Practice, Katina Michael
Professor Katina Michael
Dr Jason Andress (ISSAP, CISSP, GPEN, CEH) has written a timely book on Information Security. Andress who is a seasoned security professional with experience in both the academic and business worlds, categorically demonstrates through his book that underlying the operation of any successful business today is how to protect your most valuable asset- “information”. Andress completed his doctorate in computer science in the area of data protection, and presently works for a major software company, providing global information security oversight and performing penetration testing and risks assessment.
Is Data To Knowledge As The Wasp Is To The Fig Tree? Reconsidering Licklider’S Intergalactic Network In The Days Of Data Deluge., Christine L. Borgman
Is Data To Knowledge As The Wasp Is To The Fig Tree? Reconsidering Licklider’S Intergalactic Network In The Days Of Data Deluge., Christine L. Borgman
Christine L. Borgman
No abstract provided.