title: Landform classification of the Mamaku Plateau using a digital elevation model.

authors: Bakker, L.

abstract: The Mamaku Plateau is a large, forest-covered ignimbrite plateau in the North Island of New Zealand. This study was launched to aid inquiries into the evolu-tion of the plateau by classifying its valleys (which con-stitute Mamaku’s main geomorphological feature).An automatic classification of the valley forms in the Mamaku Plateau was made using a Digital Elevation Model (DEM). A new algorithm was created for the Arc/Info Geographic Information System, to extract the valleys from the DEM. Preliminary results from this phase of the inquiry indi-cated that it was difficult to do a computer-aided classi-fication of valleys based only on valley form. Conven-tional classification of the plateau’s valleys had also been done using stereoscopy to assist in the geomorphological interpretation. The results of these classifications were compared, and it was concluded that DEMs are useful in landscape analysis especially if combined with traditional geomorphological analysis.

text: Landform classification of the Mamaku Plateau using a digital elevation model. The Mamaku Plateau is a large, forest-covered ignimbrite plateau in the North Island of New Zealand. This study was launched to aid inquiries into the evolu-tion of the plateau by classifying its valleys (which con-stitute Mamaku’s main geomorphological feature).An automatic classification of the valley forms in the Mamaku Plateau was made using a Digital Elevation Model (DEM). A new algorithm was created for the Arc/Info Geographic Information System, to extract the valleys from the DEM. Preliminary results from this phase of the inquiry indi-cated that it was difficult to do a computer-aided classi-fication of valleys based only on valley form. Conven-tional classification of the plateau’s valleys had also been done using stereoscopy to assist in the geomorphological interpretation. The results of these classifications were compared, and it was concluded that DEMs are useful in landscape analysis especially if combined with traditional geomorphological analysis.

year: 1996

title: Event-based applications and enabling technologies

authors: Hinze, Annika

subjects: computer science

abstract: Event processing has become the paradigm of choice in many monitoring and reactive applications. However, the understanding of events, their composition and level of abstraction, the style of processing and the quality of service requirements vary drastically across application domains. We introduce the basic notions of event processing to create a common understanding, present the enabling technologies that are used for the implementation of event-based systems, survey a wide range of applications identifying their main features, and discuss open research issues.

text: Event-based applications and enabling technologies Event processing has become the paradigm of choice in many monitoring and reactive applications. However, the understanding of events, their composition and level of abstraction, the style of processing and the quality of service requirements vary drastically across application domains. We introduce the basic notions of event processing to create a common understanding, present the enabling technologies that are used for the implementation of event-based systems, survey a wide range of applications identifying their main features, and discuss open research issues.

year: 2009

title: Microsoft Translator Hub for Māori language

authors: Keegan, Te Taka Adrian Gregory

subjects: computer science

abstract: Recent improvements in Machine Translation (MT) software has opened new possibilities for applications of automatic language translation. But can these opportunities exist for the smaller, minority languages of the world? Training data was collected for the language pair of Māori and English which was used to build an MT system using Microsoft’s Translator Hub software. A comparative analysis was undertaken with this system and Google Translate. Various MT metrics and analysis software was considered before deciding to use the Asiya toolkit to undertake the comparative analysis. Māori language experts were also used to provide a human perspective on the output translations. The overall results showed no significant difference in the translation quality produced by the two systems. Despite some misgivings around the accuracy of the translations these results do show promise for MT usage by minority languages.

text: Microsoft Translator Hub for Māori language Recent improvements in Machine Translation (MT) software has opened new possibilities for applications of automatic language translation. But can these opportunities exist for the smaller, minority languages of the world? Training data was collected for the language pair of Māori and English which was used to build an MT system using Microsoft’s Translator Hub software. A comparative analysis was undertaken with this system and Google Translate. Various MT metrics and analysis software was considered before deciding to use the Asiya toolkit to undertake the comparative analysis. Māori language experts were also used to provide a human perspective on the output translations. The overall results showed no significant difference in the translation quality produced by the two systems. Despite some misgivings around the accuracy of the translations these results do show promise for MT usage by minority languages.

year: 2018