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Articles 31 - 37 of 37

Full-Text Articles in Physical Sciences and Mathematics

Analysis Of Economic Data Collected In Farm Surveys, Raymond Chambers, Phillip Kokic, Nhu Che Nov 2012

Analysis Of Economic Data Collected In Farm Surveys, Raymond Chambers, Phillip Kokic, Nhu Che

Dr Raymond Chambers

No abstract provided.


A Data-Fitting Approach For Displacements And Vibration Measurement Using Self-Mixing Interferometers, Yi Zhang, Jiangtao Xi, Joe F. Chicharo, Yanguang Yu Nov 2012

A Data-Fitting Approach For Displacements And Vibration Measurement Using Self-Mixing Interferometers, Yi Zhang, Jiangtao Xi, Joe F. Chicharo, Yanguang Yu

Professor Joe F. Chicharo

This paper presents a signal processing approach for vibration measurement using self-mixing interferometer (SMI). Compared to existing approaches, the proposed approach is able to achieve an accuracy of λ/40 which significantly exceeds the accuracy limit associated with conventional simple SMI systems λ/4.


Semi-Supervised Maximum A Posteriori Probability Segmentation Of Brain Tissues From Dual-Echo Magnetic Resonance Scans Using Incomplete Training Data, Wanqing Li, P Ogunbona, C Desilva, Y Attikiouzel Sep 2012

Semi-Supervised Maximum A Posteriori Probability Segmentation Of Brain Tissues From Dual-Echo Magnetic Resonance Scans Using Incomplete Training Data, Wanqing Li, P Ogunbona, C Desilva, Y Attikiouzel

Professor Philip Ogunbona

This study presents a stochastic framework in which incomplete training data are used to boost the accuracy of segmentation and to optimise segmentation when images under consideration are corrupted by inhomogeneities. The authors propose a semi-supervised maximum a posteriori probability (ssMAP) segmentation method that is able to utilise any amount of training data that are usually insufficient for supervised segmentation. The ssMAP unifies supervised and unsupervised segmentation and takes the two as its special cases. To deal with inhomogeneities, the authors propose to incorporate a bias field into the ssMAP and present an algorithm (referred to as ssMAPe) for simultaneous …


Book Review: The Basics Of Information Security: Understanding The Fundamentals Of Infosec In Theory And Practice, Katina Michael Apr 2012

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.


Natural Xml For Data Binding, Processing, And Persistence, George K. Thiruvathukal, Konstantin Läufer Jan 2012

Natural Xml For Data Binding, Processing, And Persistence, George K. Thiruvathukal, Konstantin Läufer

Konstantin Läufer

The article explains what you need to do to incorporate XML directly into your computational science application. The exploration involves the use of a standard parser to automatically build object trees entirely from application-specific classes. This discussion very much focuses on object-oriented programming languages such as Java and Python, but it can work for non-object-oriented languages as well. The ideas in the article provide a glimpse into the Natural XML research project.


Restfs: Resources And Services Are Filesystems, Too, Joseph P. Kaylor, Konstantin Läufer, George K. Thiruvathukal Jan 2012

Restfs: Resources And Services Are Filesystems, Too, Joseph P. Kaylor, Konstantin Läufer, George K. Thiruvathukal

Konstantin Läufer

We have designed and implemented RestFS, a software frame-work that provides a uniform, configurable connector layerfor mapping remote web-based resources to local filesystem-based resources, recognizing the similarity between thesetwo types of resources. Such mappings enable programmaticaccess to a resource, as well as composition of two or moreresources, through the local operating system’s standardfilesystem application programming interface (API), script-able file-based command-line utilities, and inter-process com-munication (IPC) mechanisms. The framework supports au-tomatic and manual authentication. We include several ex-amples intended to show the utility and practicality of ourframework.


Prescriptive System For Performance Information Management System, Dr. Dipo Theophilus Akomolafe Mbcs, Mncs, Mcpn,, B A. Onyekwelu Mrs, Oniyide Bello Dec 2011

Prescriptive System For Performance Information Management System, Dr. Dipo Theophilus Akomolafe Mbcs, Mncs, Mcpn,, B A. Onyekwelu Mrs, Oniyide Bello

Dr. Dipo Theophilus Akomolafe MBCS, MNCS, MCPN,

Information can be briefly defined as processed data. Information is crucial to the success of any organization because it must be exchanged in one form or the other before activities can be carried out. However, too much information can be overwhelming and lead to poor decision-making. Further, as organizations face an ever-growing wave of digital data, they need to analyze that data and make timely decisions to achieve effective management .Formerly, information was viewed simply as a means of expression, they now serve as the foundation for an organization’s effectiveness and efficiency. Additionally, increased pressures to manage information appropriately, communicate …