title: Exploring student perceptions of product-service systems

authors: Lubis, Pierre Yohanes

abstract: It is important that Product Design students understand the scope of sustainable design. The purpose of this study is to pilot the introduction of Product-Service System (PSS) Design to undergraduate students in Industrial Product Design. The study aims to test students' perceptions of how the Product Design field is evolving to embrace sustainable approaches address the needs of less-privileged communities. This chapter highlights how the transformation from product design to PSS Design is understood by students and how it can count towards sustainability and be preferred over product design. The advantages of a PSS over the design of products alone can be backed by the concept of sustainability when contextual issues such as cultural and economic factors are being considered. PSS was received to be an appropriate solution by providing job creation in communities, reducing consumerism, and, at the same time, being perceived to challenge the concept of ownership of products and services.

text: Exploring student perceptions of product-service systems It is important that Product Design students understand the scope of sustainable design. The purpose of this study is to pilot the introduction of Product-Service System (PSS) Design to undergraduate students in Industrial Product Design. The study aims to test students' perceptions of how the Product Design field is evolving to embrace sustainable approaches address the needs of less-privileged communities. This chapter highlights how the transformation from product design to PSS Design is understood by students and how it can count towards sustainability and be preferred over product design. The advantages of a PSS over the design of products alone can be backed by the concept of sustainability when contextual issues such as cultural and economic factors are being considered. PSS was received to be an appropriate solution by providing job creation in communities, reducing consumerism, and, at the same time, being perceived to challenge the concept of ownership of products and services.

year: 2025

title: Predicting Steam Turbine Power Generation: A Comparison of Long Short-Term Memory and Willans Line Model

authors: Pasandideh, Mostafa

abstract: This study focuses on using machine learning techniques to accurately predict the generated power in a two-stage back-pressure steam turbine used in the paper production industry. In order to accurately predict power production by a steam turbine, it is crucial to consider the time dependence of the input data. For this purpose, the long-short-term memory (LSTM) approach is employed. Correlation analysis is performed to select parameters with a correlation coefficient greater than 0.8. Initially, nine inputs are considered, and the study showcases the superior performance of the LSTM method, with an accuracy rate of 0.47. Further refinement is conducted by reducing the inputs to four based on correlation analysis, resulting in an improved accuracy rate of 0.39. The comparison between the LSTM method and the Willans line model evaluates the efficacy of the former in predicting production power. The root mean square error (RMSE) evaluation parameter is used to assess the accuracy of the prediction algorithm used for the generator’s production power. By highlighting the importance of selecting appropriate machine learning techniques, high-quality input data, and utilising correlation analysis for input refinement, this work demonstrates a valuable approach to accurately estimating and predicting power production in the energy industry.

text: Predicting Steam Turbine Power Generation: A Comparison of Long Short-Term Memory and Willans Line Model This study focuses on using machine learning techniques to accurately predict the generated power in a two-stage back-pressure steam turbine used in the paper production industry. In order to accurately predict power production by a steam turbine, it is crucial to consider the time dependence of the input data. For this purpose, the long-short-term memory (LSTM) approach is employed. Correlation analysis is performed to select parameters with a correlation coefficient greater than 0.8. Initially, nine inputs are considered, and the study showcases the superior performance of the LSTM method, with an accuracy rate of 0.47. Further refinement is conducted by reducing the inputs to four based on correlation analysis, resulting in an improved accuracy rate of 0.39. The comparison between the LSTM method and the Willans line model evaluates the efficacy of the former in predicting production power. The root mean square error (RMSE) evaluation parameter is used to assess the accuracy of the prediction algorithm used for the generator’s production power. By highlighting the importance of selecting appropriate machine learning techniques, high-quality input data, and utilising correlation analysis for input refinement, this work demonstrates a valuable approach to accurately estimating and predicting power production in the energy industry.

year: 2024-01-10

title: Who owns native nature? Discourses of rights to land, culture, and knowledge in New Zealand

authors: Goldsmith, Michael

subjects: indigenous cultures

abstract: Michael Brown famously asked ‘Who owns native culture?’ This paper revisits that question by analyzing what happens to culture when the culturally defined boundary between it and nature becomes salient in the context of disputes between indigenous and settler populations. My case study is the dispute between the New Zealand government and Maori tribal groupings concerning ownership of the foreshore and seabed. Having been granted the right to test their claims in court in 2003, Maori groups were enraged when the government legislated the right out of existence in 2004. Though the reasons for doing so were clearly political, contrasting cultural assumptions appeared to set Maori and Pakeha (New Zealanders of European origin) at odds. While couching ownership of part of nature as an IPR issue may seem counter-intuitive, I argue that as soon as a property claim destabilizes the nature/culture boundary, IPR discourse becomes pertinent.

text: Who owns native nature? Discourses of rights to land, culture, and knowledge in New Zealand Michael Brown famously asked ‘Who owns native culture?’ This paper revisits that question by analyzing what happens to culture when the culturally defined boundary between it and nature becomes salient in the context of disputes between indigenous and settler populations. My case study is the dispute between the New Zealand government and Maori tribal groupings concerning ownership of the foreshore and seabed. Having been granted the right to test their claims in court in 2003, Maori groups were enraged when the government legislated the right out of existence in 2004. Though the reasons for doing so were clearly political, contrasting cultural assumptions appeared to set Maori and Pakeha (New Zealanders of European origin) at odds. While couching ownership of part of nature as an IPR issue may seem counter-intuitive, I argue that as soon as a property claim destabilizes the nature/culture boundary, IPR discourse becomes pertinent.

year: 2009