title: Accounting for stream variability in retrofit problems using Monte Carlo simulation

authors: Lal, Nathan S.

abstract: The aim of this paper is to use Monte Carlo simulation to analyse the effect of stream data variation on the economic performance of retrofit designs. The input stream data is fitted to a distribution which can be sampled from to calculate the outputs of the Heat Exchanger Network model, stochastically. A simple four-stream problem is used to demonstrate the method, comparing two retrofit designs that each reduce the hot utility by 700 kW. Monte Carlo simulation analyses how the similar designs behave differently under the variable conditions and the results show that time-average analysis can not only overestimate the Total Retrofit Profit but can also favour a different design to that favoured by the Monte Carlo results. Of the two compared designs, the Design 2 was selected with an annual Total Retrofit Profit of NZD 215,553, requiring one new exchanger and additional area on an existing one. The Monte Carlo analysis also shed light on controllability and feasibility issues in the Heat Exchanger Network.

text: Accounting for stream variability in retrofit problems using Monte Carlo simulation The aim of this paper is to use Monte Carlo simulation to analyse the effect of stream data variation on the economic performance of retrofit designs. The input stream data is fitted to a distribution which can be sampled from to calculate the outputs of the Heat Exchanger Network model, stochastically. A simple four-stream problem is used to demonstrate the method, comparing two retrofit designs that each reduce the hot utility by 700 kW. Monte Carlo simulation analyses how the similar designs behave differently under the variable conditions and the results show that time-average analysis can not only overestimate the Total Retrofit Profit but can also favour a different design to that favoured by the Monte Carlo results. Of the two compared designs, the Design 2 was selected with an annual Total Retrofit Profit of NZD 215,553, requiring one new exchanger and additional area on an existing one. The Monte Carlo analysis also shed light on controllability and feasibility issues in the Heat Exchanger Network.

year: 2018

title: Mining algorithmic complexity in full-text scholarly documents

authors: Bakar, Abu

abstract: Non-textual document elements (NTDE) like charts, diagrams, algorithms play an important role to present key information in scientific documents [1]. Recent advancements in information retrieval systems tap this information to answer more complex queries by mining text pertaining to non-textual document elements. However, linking between document elements and corresponding text can be non-trivial. For instance, linking text related to algorithmic complexity with consequent root algorithm could be challenging. These elements are sometime placed at the start or at the end of the page instead of following the flow of document text, and the discussion about these elements may or may not be on the same page. In recent years, quite a few attempts have been made to extract NTDE [2-3]. These techniques are actively applied for effective document summarization, to improve the existing IR systems. Generally, asymptotic notations are used to identify the complexity lines in full text. We mine the relevant complexities of algorithms from full text by comparing the metadata of algorithm with context of paragraph in which complexity related discussion is made by authors. In this paper, we presented a mechanism for identification of algorithmic complexity lines using regular expressions, algorithmic metadata compilation of algorithms, and linking complexity related textual lines to algorithmic metadata.

text: Mining algorithmic complexity in full-text scholarly documents Non-textual document elements (NTDE) like charts, diagrams, algorithms play an important role to present key information in scientific documents [1]. Recent advancements in information retrieval systems tap this information to answer more complex queries by mining text pertaining to non-textual document elements. However, linking between document elements and corresponding text can be non-trivial. For instance, linking text related to algorithmic complexity with consequent root algorithm could be challenging. These elements are sometime placed at the start or at the end of the page instead of following the flow of document text, and the discussion about these elements may or may not be on the same page. In recent years, quite a few attempts have been made to extract NTDE [2-3]. These techniques are actively applied for effective document summarization, to improve the existing IR systems. Generally, asymptotic notations are used to identify the complexity lines in full text. We mine the relevant complexities of algorithms from full text by comparing the metadata of algorithm with context of paragraph in which complexity related discussion is made by authors. In this paper, we presented a mechanism for identification of algorithmic complexity lines using regular expressions, algorithmic metadata compilation of algorithms, and linking complexity related textual lines to algorithmic metadata.

year: 2018

title: Te Awa Tupua (Whanganui river claims settlement) Bill – the endless quest for justice

authors: Te Aho, Linda

abstract: Linda Te Aho continues her review of the new legal framework for Te Awa Tupua (the Whanganui River system) as part of the settlement of historical claims by Whanganui iwi about the Whanganui River.

text: Te Awa Tupua (Whanganui river claims settlement) Bill – the endless quest for justice Linda Te Aho continues her review of the new legal framework for Te Awa Tupua (the Whanganui River system) as part of the settlement of historical claims by Whanganui iwi about the Whanganui River.

year: 2016-08