Gagan Deep^*, Jyoti Verma

Journal on Artificial Intelligence, Vol.5, pp. 57-73, 2023, DOI:10.32604/jai.2023.043329

Abstract This research explores the increasing importance of Artificial Intelligence (AI) and Machine Learning (ML) with relation to smart cities. It discusses the AI and ML’s ability to revolutionize various aspects of urban environments, including infrastructure, governance, public safety, and sustainability. The research presents the definition and characteristics of smart cities, highlighting the key components and technologies driving initiatives for smart cities. The methodology employed in this study involved a comprehensive review of relevant literature, research papers, and reports on the subject of AI and ML in smart cities. Various sources were consulted to gather information on the integration of AI… More >

Hao Chen¹, Jie Xu¹, Yibo Hu¹, Fuzhou Niu^1,*, Zhiyan Li², Dan Wang², Guizhong Fu¹, Chuanxin Li^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1251-1262, 2023, DOI:10.32604/cmes.2022.022279

Abstract Aiming at the in situ and mobile observation of urban environmental air pollution, a portable instrument using ultraviolet spectrum retrieval algorithm was developed based on the basis of Differential Optical Absorption Spectroscopy (DOAS) and multiple-pass cell technique. Typical trace gas pollutants, NH₃, SO₂, and NO₂, were explored using their optical spectral characteristics in deep ultraviolet wavelength range from 210 to 215 nm. The gas concentration was retrieved by Lambert-Beer's law and nonlinear least square method. With an optimized optical alignment, the detection limits of NH₃, SO₂, NO₂ were estimated to be 2.2, 2.3, and 36.2 ppb, respectively. The system was… More >