title: Scientific workflow management with ADAMS: building and data mining a database of crop protection and related data

authors: Reutemann, Peter

subjects: Machine learning

abstract: Data mining is said to be a field that encourages data to speak for itself rather than “forcing” data to conform to a pre-specified model, but we have to acknowledge that what is spoken by the data may well be gibberish. To obtain meaning from data it is important to use techniques systematically, to follow sound experimental procedure and to examine results expertly. This paper presents a framework for scientific discovery from data with two examples from the biological sciences. The first case is a re-investigation of previously published work on aphid trap data to predict aphid phenology and the second is a commercial application for identifying and counting insects captured on sticky plates in greenhouses. Using support vector machines rather than neural networks or linear regression gives better results in case of the aphid trap data. For both cases, we use the open source machine learning workbench WEKA for predictive modelling and the open source ADAMS workflow system for automating data collection, preparation, feature generation, application of predictive models and output generation.

text: Scientific workflow management with ADAMS: building and data mining a database of crop protection and related data Data mining is said to be a field that encourages data to speak for itself rather than “forcing” data to conform to a pre-specified model, but we have to acknowledge that what is spoken by the data may well be gibberish. To obtain meaning from data it is important to use techniques systematically, to follow sound experimental procedure and to examine results expertly. This paper presents a framework for scientific discovery from data with two examples from the biological sciences. The first case is a re-investigation of previously published work on aphid trap data to predict aphid phenology and the second is a commercial application for identifying and counting insects captured on sticky plates in greenhouses. Using support vector machines rather than neural networks or linear regression gives better results in case of the aphid trap data. For both cases, we use the open source machine learning workbench WEKA for predictive modelling and the open source ADAMS workflow system for automating data collection, preparation, feature generation, application of predictive models and output generation.

year: 2015

title: Ozone Depletion and Global Warming

authors: Fow, Alista John

subjects: Ozone Depletion

abstract: Abstract
This thesis examines global warming and the possible contribution that ozone
depletion provides to this warming. An examination is performed to determine
the extent of any warming/cooling events within the Earth-atmosphere
system. The change in energy corresponding to this warning of the Earth-
atmosphere system is estimated as being equivilent to an increase of mean
solar input of 0.22W/m2. This is compared to the predicted changes of solar
input for the two most common global warming scenarios: greenhouse gases
and solar irradiance variance; and for a less well explored scenario, snow-ice
albedo change. Examination of ozone depletion data shows that an absence of
ozone in the stratosphere produces an increase in UV-B radiation at the surface
of the Earth. This increase in UV-B light has not previously been thourougly
examined in any of the global warming scenarios. This is presented as a fourth
scenario for global warming.
An analytical three layer model of the Earth-atmosphere, based on an earlier
two layer model, is developed. Using this model it is determined that
greenhouse gases, solar irradiance, snow-ice albedo feedback and ozone depletion
can cause warming of the Earth's atmosphere. After comparison with
other models, a snow-ice albedo mechanism is incorporated into the three layer
model. This produces an amplification effect of any warming that occurs.
Compared to the observed increase of surface temperature between 1975-2000
of 0.55 K, the model using a snow-ice albedo feedback, produced an increase
of temperature of 1.4 K for greenhouse gases, 0.294 K for a solar irradiance increase
and 0.119 K caused by a decrease in the ozone layer. Of the greenhouse
gas, solar irradiance and ozone depletion scenarios, ozone depletion demonstrates
the most realistic relative changes with a cooling of the stratosphere
and a warming of the troposphere and Earth's surface as has been observed.
It is concluded that ozone depletion is likely for a reasonable part of observed
global warming.

text: Ozone Depletion and Global Warming Abstract
This thesis examines global warming and the possible contribution that ozone
depletion provides to this warming. An examination is performed to determine
the extent of any warming/cooling events within the Earth-atmosphere
system. The change in energy corresponding to this warning of the Earth-
atmosphere system is estimated as being equivilent to an increase of mean
solar input of 0.22W/m2. This is compared to the predicted changes of solar
input for the two most common global warming scenarios: greenhouse gases
and solar irradiance variance; and for a less well explored scenario, snow-ice
albedo change. Examination of ozone depletion data shows that an absence of
ozone in the stratosphere produces an increase in UV-B radiation at the surface
of the Earth. This increase in UV-B light has not previously been thourougly
examined in any of the global warming scenarios. This is presented as a fourth
scenario for global warming.
An analytical three layer model of the Earth-atmosphere, based on an earlier
two layer model, is developed. Using this model it is determined that
greenhouse gases, solar irradiance, snow-ice albedo feedback and ozone depletion
can cause warming of the Earth's atmosphere. After comparison with
other models, a snow-ice albedo mechanism is incorporated into the three layer
model. This produces an amplification effect of any warming that occurs.
Compared to the observed increase of surface temperature between 1975-2000
of 0.55 K, the model using a snow-ice albedo feedback, produced an increase
of temperature of 1.4 K for greenhouse gases, 0.294 K for a solar irradiance increase
and 0.119 K caused by a decrease in the ozone layer. Of the greenhouse
gas, solar irradiance and ozone depletion scenarios, ozone depletion demonstrates
the most realistic relative changes with a cooling of the stratosphere
and a warming of the troposphere and Earth's surface as has been observed.
It is concluded that ozone depletion is likely for a reasonable part of observed
global warming.

year: 2006

title: Sweet as – the [ADJ + as] intensifier construction in Māori English/ Aotearoa English.

authors: Calude, Andreea S.

abstract: We introduce the Waikato Māori English Conversation (MEC) corpus, which consists of 43 dyadic conversations between 49 young adults who self-recorded informal conversations with close friends, in their own homes, with no topic of conversation specified (83 hours of dialogue; nearly 800,000 words). The resulting materials are colloquial and unstructured, capturing a wider range of pragmatic and stylistic modes than is possible in a standard sociolinguistic interview. Here, we report on one such feature, the [ADJ + as] construction, for example: ‘sorry some of the questions are like awkward as’ and ‘that caused a big as drama eh’. This intensifier construction has been identified as a distinctive New Zealand English (NZE) innovation, yet little has been written about this it. However, the Waikato MEC corpus presents the opportunity to analyse the construction in a more systematic manner and to fill existing gaps in analyses of Māori English grammar.

text: Sweet as – the [ADJ + as] intensifier construction in Māori English/ Aotearoa English. We introduce the Waikato Māori English Conversation (MEC) corpus, which consists of 43 dyadic conversations between 49 young adults who self-recorded informal conversations with close friends, in their own homes, with no topic of conversation specified (83 hours of dialogue; nearly 800,000 words). The resulting materials are colloquial and unstructured, capturing a wider range of pragmatic and stylistic modes than is possible in a standard sociolinguistic interview. Here, we report on one such feature, the [ADJ + as] construction, for example: ‘sorry some of the questions are like awkward as’ and ‘that caused a big as drama eh’. This intensifier construction has been identified as a distinctive New Zealand English (NZE) innovation, yet little has been written about this it. However, the Waikato MEC corpus presents the opportunity to analyse the construction in a more systematic manner and to fill existing gaps in analyses of Māori English grammar.

year: 2025