Automated network for knowledge transfer between resource management agencies: Real-time monitoring/database for household waste management in high-rise residential buildings in Malaysia
Autor: | Peter Charles Woods, Human Esmaeili, Aliza Akmar Omar |
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Rok vydání: | 2016 |
Předmět: |
Sustainable development
Government Process (engineering) 020209 energy 02 engineering and technology 010501 environmental sciences 01 natural sciences Knowledge acquisition Urbanization 0202 electrical engineering electronic engineering information engineering Resource management Business Enforcement Environmental planning Knowledge transfer 0105 earth and related environmental sciences |
Zdroj: | VSMM |
DOI: | 10.1109/vsmm.2016.7863173 |
Popis: | A conceptual network for household waste management in high-rise residential buildings in Malaysia is proposed in this paper. This study is justified based on: (1) the current situation of municipal solid waste management in Malaysia that (hypothetically) has been affected by improper knowledge transfer between resource management agencies due to the lack of technology involvement, and (2) fast urbanization in Malaysia and increasing demand for high-rise residential living lifestyle due to land scarcity, which is more tangible in areas with higher density of population. Additionally, categorization of living quarters has not been considered (by the resource management agencies) in municipal solid waste management planning. This study focuses only on household waste management in high-rise residential buildings. However, possibilities or limitations of implementation of the presented system in other categories of living quarters are discussed at the end. The proposed network aims at facilitating the process of knowledge acquisition, knowledge management, and knowledge transfer in the mentioned area. The outcomes of this study are somehow the current Government's stalled sustainable goals, which were aimed to be achieved through enforcement plan (unsuccessful to date). This study tries to approach the research problem through a more realistic and feasible fashion, considering today's modern lifestyle. This study, however, does not argue over what has (not) been done in the past, but how to use the previous experience(s) towards the future sustainable development. The proposed network presented in this paper is accompanied by a conceptual prototype, which has been developed and visualized based on interpretation of the findings of the study. So, the prototype can be technically tagged data visualization. |
Databáze: | OpenAIRE |
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