title: iDCC - Hardware, Software and Marketing of a Usable Digital Command Controller

authors: Chang, Benson

subjects: DCC

abstract: iDCC is the new implement of Digital Command Control (DCC) with a better user interface and a much better user experience compared to the existing DCC controllers on the market. The iDCC project was carried out firstly at 2009 and the proof-of-concept prototype was available at the beginning of this project. The goal of this project is to prepare this prototype for a commercialization through the real-world industry arrangement. This is also a new framework of a Master degree project. The author of this thesis has acted as a project manager and a hardware engineer to work with a 4-member software team and a 2-member marketing team whom all are the students of the University of Waikato. As hardware engineers, the duties were to test the previous prototype and develop a brand new hardware which has more functionality and stability. With the unique scanning technology developed in this project it eliminates the complexity of the model train operation and simplifies the technical format of DCC controllers. The enclosure case also has been designed by the author to meet the market need. The software team developed and tested the firmware to fulfill the concept of iDCC with the author. The market team prepared logos, product names, and advertising materials to achieve the market promotion requirement. The author also acts as the project manager to lead the teams together to achieve the goal. The final product is ready to be released to the market as an entry level DCC controller, and the result of this project also shows that this type of framework is sustainable so that it can be applied in any Master or even Phd level project.

text: iDCC - Hardware, Software and Marketing of a Usable Digital Command Controller iDCC is the new implement of Digital Command Control (DCC) with a better user interface and a much better user experience compared to the existing DCC controllers on the market. The iDCC project was carried out firstly at 2009 and the proof-of-concept prototype was available at the beginning of this project. The goal of this project is to prepare this prototype for a commercialization through the real-world industry arrangement. This is also a new framework of a Master degree project. The author of this thesis has acted as a project manager and a hardware engineer to work with a 4-member software team and a 2-member marketing team whom all are the students of the University of Waikato. As hardware engineers, the duties were to test the previous prototype and develop a brand new hardware which has more functionality and stability. With the unique scanning technology developed in this project it eliminates the complexity of the model train operation and simplifies the technical format of DCC controllers. The enclosure case also has been designed by the author to meet the market need. The software team developed and tested the firmware to fulfill the concept of iDCC with the author. The market team prepared logos, product names, and advertising materials to achieve the market promotion requirement. The author also acts as the project manager to lead the teams together to achieve the goal. The final product is ready to be released to the market as an entry level DCC controller, and the result of this project also shows that this type of framework is sustainable so that it can be applied in any Master or even Phd level project.

year: 2013

title: A diagnostic tool for tree based supervised classification learning algorithms

authors: Holmes, Geoffrey

subjects: computer science

abstract: The process of developing applications of machine learning and data mining that employ supervised classification algorithms includes the important step of knowledge verification. Interpretable output is presented to a user so that they can verify that the knowledge contained in the output makes sense for the given application. As the development of an application is an iterative process it is quite likely that a user would wish to compare models constructed at various times or stages. 
One crucial stage where comparison of models is important is when the accuracy of a model is being estimated, typically using some form of cross-validation. This stage is used to establish an estimate of how well a model will perform on unseen data. This is vital information to present to a user, but it is also important to show the degree of variation between models obtained from the entire dataset and models obtained during cross-validation. In this way it can be verified that the cross-validation models are at least structurally aligned with the model garnered from the entire dataset. 
This paper presents a diagnostic tool for the comparison of tree-based supervised classification models. The method is adapted from work on approximate tree matching and applied to decision trees. The tool is described together with experimental results on standard datasets.

text: A diagnostic tool for tree based supervised classification learning algorithms The process of developing applications of machine learning and data mining that employ supervised classification algorithms includes the important step of knowledge verification. Interpretable output is presented to a user so that they can verify that the knowledge contained in the output makes sense for the given application. As the development of an application is an iterative process it is quite likely that a user would wish to compare models constructed at various times or stages. 
One crucial stage where comparison of models is important is when the accuracy of a model is being estimated, typically using some form of cross-validation. This stage is used to establish an estimate of how well a model will perform on unseen data. This is vital information to present to a user, but it is also important to show the degree of variation between models obtained from the entire dataset and models obtained during cross-validation. In this way it can be verified that the cross-validation models are at least structurally aligned with the model garnered from the entire dataset. 
This paper presents a diagnostic tool for the comparison of tree-based supervised classification models. The method is adapted from work on approximate tree matching and applied to decision trees. The tool is described together with experimental results on standard datasets.

year: 1999-03

title: Kei moenga - Tārā i te ārero. Lest it be severed from the tongue

authors: Bailey, Iraia Thompson

subjects: te reo Māori

abstract: Tūwharetoa are a distinctive tribal group who are located within the central North Island. With a proud and celebrated history, Tūwharetoa evolved through out time to become a complex and unique tribe, containing a number of sub tribes, each with its own authority, structure and land holdings. However, like all Māori, Tūwharetoa were greatly affected by the impact of European colonisation. In particular the unique language and customs of Tūwharetoa where savaged by the policy of assimilation and the introduction of a new language and its cultural beliefs. Presently the traditional language of Tūwharetoa is in a perilous state, and regardless of the many Māori language initiatives that have been established over the past few decades, the special language of Tūwharetoa is declining. This thesis is concerned with understanding the reasons why the traditional language of Tūwharetoa finds itself in this position, while also assessing the initatives implemented by Tūwharetoa to rectify this situation. Furthermore this study will look to create a possible pathway forward for Tūwharetoa to support the regeneration and revitalisation of the language. Ultimately this thesis will propose a framework bedded within language planning theory, supported by a kaupapa Māori research methodology and founded within the beliefs of Tūwharetoa, to see the return of te reo Māori as the main form of communication for the people of Tūwharetoa, and as a clear marker of our identity and uniqueness.

text: Kei moenga - Tārā i te ārero. Lest it be severed from the tongue Tūwharetoa are a distinctive tribal group who are located within the central North Island. With a proud and celebrated history, Tūwharetoa evolved through out time to become a complex and unique tribe, containing a number of sub tribes, each with its own authority, structure and land holdings. However, like all Māori, Tūwharetoa were greatly affected by the impact of European colonisation. In particular the unique language and customs of Tūwharetoa where savaged by the policy of assimilation and the introduction of a new language and its cultural beliefs. Presently the traditional language of Tūwharetoa is in a perilous state, and regardless of the many Māori language initiatives that have been established over the past few decades, the special language of Tūwharetoa is declining. This thesis is concerned with understanding the reasons why the traditional language of Tūwharetoa finds itself in this position, while also assessing the initatives implemented by Tūwharetoa to rectify this situation. Furthermore this study will look to create a possible pathway forward for Tūwharetoa to support the regeneration and revitalisation of the language. Ultimately this thesis will propose a framework bedded within language planning theory, supported by a kaupapa Māori research methodology and founded within the beliefs of Tūwharetoa, to see the return of te reo Māori as the main form of communication for the people of Tūwharetoa, and as a clear marker of our identity and uniqueness.

year: 2013