https://scholars.lib.ntu.edu.tw/handle/123456789/505957
標題: | Evaluation and selection of materials for particulate matter MEMS sensors by using hybrid MCDM methods | 作者: | Huang, C.-Y. Chung, P.-H. Shyu, J.Z. Ho, Y.-H. Wu, C.-H. Lee, M.-C. Wu, M.-J. CHAO-HSIN WU |
關鍵字: | Micro electro mechanic systems (MEMS); Multiple criteria decision making (MCDM); Particulate matter (PM); PM2.5; Sensors | 公開日期: | 2018 | 卷: | 10 | 期: | 10 | 來源出版物: | Sustainability (Switzerland) | 摘要: | Air pollution poses serious problems as global industrialization continues to thrive. Since air pollution has grave impacts on human health, industry experts are starting to fathom how to integrate particulate matter (PM) sensors into portable devices; however, traditional micro-electro-mechanical systems (MEMS) gas sensors are too large. To overcome this challenge, experts from industry and academia have recently begun to investigate replacing the traditional etching techniques used on MEMS with semiconductor-based manufacturing processes and materials, such as gallium nitride (GaN), gallium arsenide (GaAs), and silicon. However, studies showing how to systematically evaluate and select suitable materials are rare in the literature. Therefore, this study aims to propose an analytic framework based on multiple criteria decision making (MCDM) to evaluate and select the most suitable materials for fabricating PM sensors. An empirical study based on recent research was conducted to demonstrate the feasibility of our analytic framework. The results provide an invaluable future reference for research institutes and providers. ? 2018 by the authors. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/505957 | DOI: | 10.3390/su10103451 | SDG/關鍵字: | analytical framework; atmospheric pollution; construction material; decision making; electronic equipment; empirical analysis; feasibility study; multicriteria analysis; particle size; particulate matter; sensor; valuation |
顯示於: | 電機工程學系 |
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