title: The Denominator problem: Energy demand in a sustainable energy policy

authors: Barton, Barry

abstract: Often when people think of policy for long-term sustainability they think of energy supply and not energy demand. What comes to mind often are new sources of supply on the very edge of technology, such as shale gas and deep-sea oil resources; or it may be renewable energy sources, such as hydro, wind, solar, geothermal and biofuels. But if people focus exclusively or excessively on supply, they are overlooking the demand side. How much energy must we produce in order to meet our human and economic needs? What assumptions are we making about future energy demand? In regard to a particular energy project going through an environmental impact assessment process, how do we evaluate whether the project is necessary?

text: The Denominator problem: Energy demand in a sustainable energy policy Often when people think of policy for long-term sustainability they think of energy supply and not energy demand. What comes to mind often are new sources of supply on the very edge of technology, such as shale gas and deep-sea oil resources; or it may be renewable energy sources, such as hydro, wind, solar, geothermal and biofuels. But if people focus exclusively or excessively on supply, they are overlooking the demand side. How much energy must we produce in order to meet our human and economic needs? What assumptions are we making about future energy demand? In regard to a particular energy project going through an environmental impact assessment process, how do we evaluate whether the project is necessary?

year: 2013

title: A Predictive Model for the Parallel Processing of Digital Libraries

authors: Thompson, John Matthew

subjects: Digital Library

abstract: The computing world is facing the problem of a seemingly exponential increase in the amount of raw digital data, and the speed at which it is being collected, is eclipsing our ability to manage it manually. Combine this with the increasing expectations of a growing number of experienced computer users—including real-time access and a demand for expensive-to-process file types such as multimedia—and it is not hard to understand why managing data of this scale and providing timely access to useful information requires specialized algorithms, techniques, and software.

Digital libraries are being used to help address these challenges. Drawing upon knowledge learned through traditional library science, digital libraries excel in providing structured user access to a wide variety of documents. They increasingly include tools for managing, moderating, and marking up these documents. Furthermore, they often feature phases where documents are independently processed and so can benefit from the application of parallel processing techniques—the focus of this thesis. Whether a digital library collection can benefit from parallel processing depends on considerations such as document type, processing cost per document, number of documents, and file-system input/output.

To aid in deciding when to apply parallel processing techniques to digital libraries, this thesis explores the creation a model for predicting key outcomes of leveraging such techniques. It does so by implementing parallel processing in three distinct open-source digital library tools, undertaking experiments designed to measure key processing features (such as processing time versus number of compute nodes), and applying machine learning techniques to these features in order to derive a predictive model.

The model created predicts parallel processing performance at 96% accuracy (adjusted r-squared) for a number of exemplar collection types. The result is a generally applicable tool for estimating the benefits of applying parallel processing to a wide range of digital collections.

text: A Predictive Model for the Parallel Processing of Digital Libraries The computing world is facing the problem of a seemingly exponential increase in the amount of raw digital data, and the speed at which it is being collected, is eclipsing our ability to manage it manually. Combine this with the increasing expectations of a growing number of experienced computer users—including real-time access and a demand for expensive-to-process file types such as multimedia—and it is not hard to understand why managing data of this scale and providing timely access to useful information requires specialized algorithms, techniques, and software.

Digital libraries are being used to help address these challenges. Drawing upon knowledge learned through traditional library science, digital libraries excel in providing structured user access to a wide variety of documents. They increasingly include tools for managing, moderating, and marking up these documents. Furthermore, they often feature phases where documents are independently processed and so can benefit from the application of parallel processing techniques—the focus of this thesis. Whether a digital library collection can benefit from parallel processing depends on considerations such as document type, processing cost per document, number of documents, and file-system input/output.

To aid in deciding when to apply parallel processing techniques to digital libraries, this thesis explores the creation a model for predicting key outcomes of leveraging such techniques. It does so by implementing parallel processing in three distinct open-source digital library tools, undertaking experiments designed to measure key processing features (such as processing time versus number of compute nodes), and applying machine learning techniques to these features in order to derive a predictive model.

The model created predicts parallel processing performance at 96% accuracy (adjusted r-squared) for a number of exemplar collection types. The result is a generally applicable tool for estimating the benefits of applying parallel processing to a wide range of digital collections.

year: 2015

title: Are You Listening? The Voice of Waitaha, A Forgotten People.

authors: Reese, Alistair William

subjects: maori

abstract: This thesis is a study of Waitaha, a Bay of Plenty iwi that has been marginalized through
the loss of most of its land, much of its language, tikanga, and mana. The purpose of the
work is to communicate, through the 'voice' and the history of the people, a chronicle, of
their alienation to a Pākehā audience that remains in large part ignorant and distant from
their plight.
The thesis is motivated by an academic responsibility to the Treaty of Waitangi and the
lack of understanding to the present needs of Māori as evidenced for example, by the
support for the January 2004 Orewa speech, by the leader of the National Party, Don
Brash. It is predicated upon the understanding that this response, which minimalises the
impact of colonization upon Māori, is constructed by many, through a convenience of
distance. It is motivated also on the understanding that most Pākehā who now inhabit the rohe of Waitaha, are completely ignorant of the identity of tangata whenua. It is hoped
that the presentation of the Waitaha story, will provoke a greater empathy from Pākehā,
and thereby facilitate an environment, whereby grievances can be addressed in an
environment of greater understanding.
The thesis is a qualitative based research exercise, carried out in consultation with
kaumātua and other Waitaha members, and attempts to acknowledge and integrate current kaupapa Māori epistemologies with traditional Western academic methodology.
The study uses interviews, Waitangi Tribunal evidence, and other historical references to
construct a narrative that conveys something of the 'voice' of Waitaha. Specifically, it
outlines a chronology of Waitaha settlement, followed by a description of their encounter
with Pākehā, the consequent alienation of the majority of their lands by the Crown, and
concludes, with a glimpse into the current circumstance of Manoeka, the papakainga of
Waitaha.

text: Are You Listening? The Voice of Waitaha, A Forgotten People. This thesis is a study of Waitaha, a Bay of Plenty iwi that has been marginalized through
the loss of most of its land, much of its language, tikanga, and mana. The purpose of the
work is to communicate, through the 'voice' and the history of the people, a chronicle, of
their alienation to a Pākehā audience that remains in large part ignorant and distant from
their plight.
The thesis is motivated by an academic responsibility to the Treaty of Waitangi and the
lack of understanding to the present needs of Māori as evidenced for example, by the
support for the January 2004 Orewa speech, by the leader of the National Party, Don
Brash. It is predicated upon the understanding that this response, which minimalises the
impact of colonization upon Māori, is constructed by many, through a convenience of
distance. It is motivated also on the understanding that most Pākehā who now inhabit the rohe of Waitaha, are completely ignorant of the identity of tangata whenua. It is hoped
that the presentation of the Waitaha story, will provoke a greater empathy from Pākehā,
and thereby facilitate an environment, whereby grievances can be addressed in an
environment of greater understanding.
The thesis is a qualitative based research exercise, carried out in consultation with
kaumātua and other Waitaha members, and attempts to acknowledge and integrate current kaupapa Māori epistemologies with traditional Western academic methodology.
The study uses interviews, Waitangi Tribunal evidence, and other historical references to
construct a narrative that conveys something of the 'voice' of Waitaha. Specifically, it
outlines a chronology of Waitaha settlement, followed by a description of their encounter
with Pākehā, the consequent alienation of the majority of their lands by the Crown, and
concludes, with a glimpse into the current circumstance of Manoeka, the papakainga of
Waitaha.

year: 2006