Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Federico Cangialosi"'
Autor:
Giuseppina Oliva, Federico Cangialosi, Michele Grimaldi, Isidoro Fasolino, Vincenzo Belgiorno, Vincenzo Naddeo, Tiziano Zarra
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 9, Iss , Pp 100712- (2024)
Odour annoyance in urban contexts is of particular concerns and requires effective monitoring in order to avoid complaints from citizens.The research presents an advanced and integrated odour monitoring system, which combines analytical, senso-instru
Externí odkaz:
https://doaj.org/article/6abdfb8cfe874ae59ba0797ab3c3eebc
Publikováno v:
Chemical Engineering Transactions, Vol 95 (2022)
Odour nuisance is an increasingly topical problem, especially in newly developed urban areas. The use of machine learning algorithms for the classification and quantification of odour sources is becoming more and more widespread using instrumental od
Externí odkaz:
https://doaj.org/article/40a50958d5ac4d628df2a42023ef192a
Autor:
Giuseppina Oliva, Federico Cangialosi, Edoardo Bruno, Vincenzo Naddeo, Vincenzo Belgiorno, Tiziano Zarra
Publikováno v:
Chemical Engineering Transactions, Vol 95 (2022)
Odours emissions sources are always closer to residential areas since their increasing expansion towards industrial contexts. The need of an effective solution to characterize the real odour annoyance perceived by the exposed population is thus of fu
Externí odkaz:
https://doaj.org/article/93f93df53abb4b19acb5625a4f7d6bcb
Autor:
Federico Cangialosi
Publikováno v:
Chemical Engineering Transactions, Vol 85 (2021)
A landfill for non-hazardous waste and a composting plant were equipped with an integrated odour management system made up of instrumental Odour monitoring systems and automated air samplers. Collected data by the instrumental system cover a time spa
Externí odkaz:
https://doaj.org/article/c808ba5214404db79cce62a50f6cbe57
Publikováno v:
Sensors, Vol 21, Iss 14, p 4716 (2021)
The development of low-cost sensors, the introduction of technical performance specifications, and increasingly effective machine learning algorithms for managing big data have led to a growing interest in the use of instrumental odor monitoring syst
Externí odkaz:
https://doaj.org/article/83f9311d2ee04fc9a5aa8cfd785c3920
Publikováno v:
Chemical Engineering Transactions, Vol 68 (2018)
A field study was carried out to assess the possibility of monitoring online malodours from a sanitary landfill for non-hazardous waste. To that aim, the performance of a multisensory electronic nose and a H2S continuous analyser used in situ was eva
Externí odkaz:
https://doaj.org/article/c40549dbe4d94066aae85a0a1ef4d468
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 14
Sensors, Vol 21, Iss 4716, p 4716 (2021)
Sensors
Volume 21
Issue 14
Sensors, Vol 21, Iss 4716, p 4716 (2021)
The development of low-cost sensors, the introduction of technical performance specifications, and increasingly effective machine learning algorithms for managing big data have led to a growing interest in the use of instrumental odor monitoring syst
Publikováno v:
Cement and Concrete Research. 39:362-370
The use of a new automated foam index test (AFIT) instrument is discussed as a quantitative approach to observe air entraining agent (AEA) interactions with and to measure proper AEA dosage into cement-fly ash mixtures. Based on measuring acoustic em
Autor:
Pompilio Caramuscio, Michele Notarnicola, Tapiwa Zabron Gurupira, John M. Stencel, Lorenzo Liberti, Giulio Belz, Federico Cangialosi
Publikováno v:
Fuel. 85:2286-2293
The gas transport, triboelectrostatic beneficiation of coal combustion fly ash into carbon-rich and ash-rich products was studied relative to the effect of ash surface moisture. Increasing the humidity to which the ashes from American and Italian coa
Publikováno v:
Powder Technology. 165:39-51
Pneumatic transport, triboelectrostatic experimentation studying the removal of carbon from fly ash has shown the importance of particle charging on process performance. To further elucidate the influence of particle charging, a tribo-electrification