1
|
Emvoliadis A, Vryzas N, Stamatiadou ME, Vrysis L, Dimoulas C. Multimodal Environmental Sensing Using AI & IoT Solutions: A Cognitive Sound Analysis Perspective. SENSORS (BASEL, SWITZERLAND) 2024; 24:2755. [PMID: 38732864 PMCID: PMC11086100 DOI: 10.3390/s24092755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/08/2024] [Accepted: 04/22/2024] [Indexed: 05/13/2024]
Abstract
This study presents a novel audio compression technique, tailored for environmental monitoring within multi-modal data processing pipelines. Considering the crucial role that audio data play in environmental evaluations, particularly in contexts with extreme resource limitations, our strategy substantially decreases bit rates to facilitate efficient data transfer and storage. This is accomplished without undermining the accuracy necessary for trustworthy air pollution analysis while simultaneously minimizing processing expenses. More specifically, our approach fuses a Deep-Learning-based model, optimized for edge devices, along with a conventional coding schema for audio compression. Once transmitted to the cloud, the compressed data undergo a decoding process, leveraging vast cloud computing resources for accurate reconstruction and classification. The experimental results indicate that our approach leads to a relatively minor decrease in accuracy, even at notably low bit rates, and demonstrates strong robustness in identifying data from labels not included in our training dataset.
Collapse
Affiliation(s)
- Alexandros Emvoliadis
- Multidisciplinary Media & Mediated Communication Research Group (M3C), Aristotle University, 54636 Thessaloniki, Greece; (N.V.); (M.-E.S.); (L.V.); (C.D.)
| | | | | | | | | |
Collapse
|
2
|
Amador-Castro F, González-López ME, Lopez-Gonzalez G, Garcia-Gonzalez A, Díaz-Torres O, Carbajal-Espinosa O, Gradilla-Hernández MS. Internet of Things and citizen science as alternative water quality monitoring approaches and the importance of effective water quality communication. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 352:119959. [PMID: 38194871 DOI: 10.1016/j.jenvman.2023.119959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/20/2023] [Accepted: 12/23/2023] [Indexed: 01/11/2024]
Abstract
The increasing demand for water and worsening climate change place significant pressure on this vital resource, making its preservation a global priority. Water quality monitoring programs are essential for effectively managing this resource. Current programs rely on traditional monitoring approaches, leading to limitations such as low spatiotemporal resolution and high operational costs. Despite the adoption of novel monitoring approaches that enable better data resolution, the public's comprehension of water quality matters remains low, primarily due to communication process deficiencies. This study explores the advantages and challenges of using Internet of Things (IoT) and citizen science as alternative monitoring approaches, emphasizing the need for enhancing public communication of water quality data. Through a systematic review of studies implemented on-field, we identify and propose strategies to address five key challenges that IoT and citizen science monitoring approaches must overcome to mature into robust sources of water quality information. Additionally, we highlight three fundamental problems affecting the water quality communication process and outline strategies to convey this topic effectively to the public.
Collapse
Affiliation(s)
- Fernando Amador-Castro
- Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Av. General Ramon Corona No. 2514, 45201, Zapopan, Jal., Mexico
| | - Martín Esteban González-López
- Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Av. General Ramon Corona No. 2514, 45201, Zapopan, Jal., Mexico
| | - Gabriela Lopez-Gonzalez
- Water@leeds, School of Geography, University of Leeds, Leeds, LS2 9JT, UK; School of Geography, University of Leeds, Leeds, LS2 9JT, UK
| | - Alejandro Garcia-Gonzalez
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de La Salud, Av. General Ramon Corona No. 2514, 45201, Zapopan, Jal., Mexico
| | - Osiris Díaz-Torres
- Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Av. General Ramon Corona No. 2514, 45201, Zapopan, Jal., Mexico
| | - Oscar Carbajal-Espinosa
- Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Av. General Ramon Corona No. 2514, 45201, Zapopan, Jal., Mexico
| | | |
Collapse
|