title: Milk Powder Deposition in Cross-Flow Heat Exchangers

authors: Englebrecht, R.

abstract: The lack of heat recovery implementation in spray dryer exhausts can be ascribed to difficulties associated with particulate fouling that reduce the thermal performance of these units. The aim of this work is to experimentally characterise the deposition of two brands of skim milk powder (A and B) on a bare tube bank in cross-flow. Results show that the tube powder deposition for powder A reached a maximum at the second row of tubes while for powder B the maximum was at the third row. Analysing the mid diameter of tube deposited particles for powder A showed a separation of particles based on tube row where increasing tube row number into the heat exchanger the deposited particle size was reduced.

text: Milk Powder Deposition in Cross-Flow Heat Exchangers The lack of heat recovery implementation in spray dryer exhausts can be ascribed to difficulties associated with particulate fouling that reduce the thermal performance of these units. The aim of this work is to experimentally characterise the deposition of two brands of skim milk powder (A and B) on a bare tube bank in cross-flow. Results show that the tube powder deposition for powder A reached a maximum at the second row of tubes while for powder B the maximum was at the third row. Analysing the mid diameter of tube deposited particles for powder A showed a separation of particles based on tube row where increasing tube row number into the heat exchanger the deposited particle size was reduced.

year: 2013

title: Experiments in Predicting Biodegradability

authors: Blockeel, Hendrik

subjects: computer science

abstract: This paper is concerned with the use of AI techniques in ecology. More specifically, we present a novel application of inductive logic programming (ILP) in the area of quantitative structure-activity relationships (QSARs). The activity we want to predict is the biodegradability of chemical compounds in water. In particular, the target variable is the half-life for aerobic aqueous biodegradation. Structural descriptions of chemicals in terms of atoms and bonds are derived from the chemicals' SMILES encodings. The definition of substructures is used as background knowledge. Predicting biodegradability is essentially a regression problem, but we also consider a discretized version of the target variable. We thus employ a number of relational classification and regression methods on the relational representation and compare these to propositional methods applied to different propositionalizations of the problem. We also experiment with a prediction technique that consists of merging upper and lower bound predictions into one prediction. Some conclusions are drawn concerning the applicability of machine learning systems and the merging technique in this domain and the evaluation of hypotheses.

text: Experiments in Predicting Biodegradability This paper is concerned with the use of AI techniques in ecology. More specifically, we present a novel application of inductive logic programming (ILP) in the area of quantitative structure-activity relationships (QSARs). The activity we want to predict is the biodegradability of chemical compounds in water. In particular, the target variable is the half-life for aerobic aqueous biodegradation. Structural descriptions of chemicals in terms of atoms and bonds are derived from the chemicals' SMILES encodings. The definition of substructures is used as background knowledge. Predicting biodegradability is essentially a regression problem, but we also consider a discretized version of the target variable. We thus employ a number of relational classification and regression methods on the relational representation and compare these to propositional methods applied to different propositionalizations of the problem. We also experiment with a prediction technique that consists of merging upper and lower bound predictions into one prediction. Some conclusions are drawn concerning the applicability of machine learning systems and the merging technique in this domain and the evaluation of hypotheses.

year: 2004

title: Te Kāuta

authors: Roa, Raukura

subjects: Kōrero paki

abstract: He rite tonu tā mātou hokihoki ki te take o Pirongia maunga, ki te tutungi i te ahi kā i Pūrekireki Marae. Ia wā ka hoki mātou ki tēnei o ngā marae, ka hīkaka taku ngākau, i te mea, ko taku mahi i reira, he tiaki ahi. Ao noa, pō noa, ko au te kaiwhakatutungi i te ahi o te kāuta, kei kewa. Ko te ahi o te kāuta o Pūrekireki marae, he ahi nui, he ahi kaitā. E ono tāngata pea ka uru ki te rua o te ahi nei. Nō reira, ko taku mahi i te rā, he kohi rākau i waho, he tapahi wahie, he whakamaroke anō hoki i te wahie, inā mākū i te ua. I ngā pō, kia hoki rā anō te iwi ki te moe, ko tāku, he noho ki roto i te kāuta me te tutungi ahi, kia wera tonu ai te wai mō āpōpō. Kei pōhēhē mai, he mahi mokemoke tēnei! Ehara! Ia pō, ka noho mai aku kuia ki taku taha ki te pahupahu. He nui ngā akoranga me ngā mātauranga i tuku iho mai ki a au i roto i tērā kāuta, i te taha o tērā ahi. Me uaua ka kitea tēnei momo ahi kaitā i ngā marae i ēnei rā. Kāore e whakaaengia ana e ngā ture Pākehā ngā ahi kaitā, pēnei nei te rahi, i roto i ngā kāuta o ngā marae; ‘Health and Safety Standards’ tā rātou i whakatau ai. Nō reira, i karangangia e taku pāpā tētehi hui ki te marae kia wānangahia te whakahōutanga o tō mātou kāuta. Nō taku rongotanga ake i te kaupapa o tēnei hui, ka tangi taku ngākau ki tō mātou kāuta. Nō reira, i whakarite ahau kia haere i tana taha.

text: Te Kāuta He rite tonu tā mātou hokihoki ki te take o Pirongia maunga, ki te tutungi i te ahi kā i Pūrekireki Marae. Ia wā ka hoki mātou ki tēnei o ngā marae, ka hīkaka taku ngākau, i te mea, ko taku mahi i reira, he tiaki ahi. Ao noa, pō noa, ko au te kaiwhakatutungi i te ahi o te kāuta, kei kewa. Ko te ahi o te kāuta o Pūrekireki marae, he ahi nui, he ahi kaitā. E ono tāngata pea ka uru ki te rua o te ahi nei. Nō reira, ko taku mahi i te rā, he kohi rākau i waho, he tapahi wahie, he whakamaroke anō hoki i te wahie, inā mākū i te ua. I ngā pō, kia hoki rā anō te iwi ki te moe, ko tāku, he noho ki roto i te kāuta me te tutungi ahi, kia wera tonu ai te wai mō āpōpō. Kei pōhēhē mai, he mahi mokemoke tēnei! Ehara! Ia pō, ka noho mai aku kuia ki taku taha ki te pahupahu. He nui ngā akoranga me ngā mātauranga i tuku iho mai ki a au i roto i tērā kāuta, i te taha o tērā ahi. Me uaua ka kitea tēnei momo ahi kaitā i ngā marae i ēnei rā. Kāore e whakaaengia ana e ngā ture Pākehā ngā ahi kaitā, pēnei nei te rahi, i roto i ngā kāuta o ngā marae; ‘Health and Safety Standards’ tā rātou i whakatau ai. Nō reira, i karangangia e taku pāpā tētehi hui ki te marae kia wānangahia te whakahōutanga o tō mātou kāuta. Nō taku rongotanga ake i te kaupapa o tēnei hui, ka tangi taku ngākau ki tō mātou kāuta. Nō reira, i whakarite ahau kia haere i tana taha.

year: 2016