Max Fast Fourier Transform (maxFFT) Clustering Approach for Classifying Indoor Air Quality
Round 1
Reviewer 1 Report
Review
Max Fast Fourier Transform (maxFFT) Clustering Approach for Classifying Indoor Air Quality Ka-Ui Chu and Yao-Hua Ho
Abstract: Lines 1-13
Please structure it as:
Introduction-Aims
Method
Results and interpretation
Introduction lines 15-76
The subchapter should be developed
Literature review should be done, updated to 2022 and internationalized.
Please analyses critically the findings of the articles and the limitations.
Please indicate also at least tree similar article to your research published recently (last 5 years).
Aim of the study is not clear expressed.
Method
Please insert a flowchart of your research methodology steps for bettwer visibility and understanding by the journal readers as well as as large public
line 113 -insert the authors of the eq and explain all the components.
line 126 -insert the authors of the eq and explain all the components.
idem lines 142-142 eq no 3 and 4 and explain all the components.
Fig. 9 line 170 ,, Figure 9. Different domain on the same wave (∑ 5 n=1 n cos(nωt), ω = 10 × 2π)``
Please add the authors of the formula and explain all the components.
Line 183 eq 6 : please insert the authors and explain all the components.
Line 197, eq 7 idem
Line 202, eq 8: please insert the auhors and explain all the components.
Conclusions: this subchapter should be enlarged; the study suggest a clustering method called Max Fast Fourier Transform 363 (maxFFT) to cluster indoor air quality without using any additional information, e.g., environmental conditions, location, or the number of people. Please give details about the validation of the used method.
References: update the references to 2022
We consider useful to improve this paper also the following papers. Please cite also:
A. Oneț, D. C. Ilieș, A. Ilieș, G. V. Herman, L. Burtă, F. Marcu, R. Buhaș, T. Caciora, Ș. Baias, C. Oneț, M. Ilieș, A. Lincu, 2020, Indoor air quality assessment and its perception. Case study - historic wooden church, Romania, in Romanian Biotechnological Letters 3:1547-1551 (https://www.e-repository.org/rbl/vol.25/iss.3/5.pdf).
B. Ilieș, D.C.; Hodor, N.; Indrie, L.; Dejeu, P.; Ilieș, A.; Albu, A.; Caciora, T.; Ilieș, M.; Barbu-Tudoran, L.; Grama, V. Investigations of the Surface of Heritage Objects and Green Bioremediation: Case Study of Artefacts from Maramureş, Romania. Appl. Sci. 2021, 11, 6643. https://doi.org/10.3390/app11146643
Is it relevant and
interesting?
The paper is relevant and synthetizes the actual available literature data, focus mainly on efficiency of tests conducted in laboratory conditions (school in this case). The paper is interesting for devices marketing, too, because the tests results contribute to reflect the real dimensions and conditions in schools’ indoor environments.
How original is the topic?
Is an actual topic even it is not very original; but the subject is important especially in the post pandemic period to save the sick building syndrome and help to improve the public health.
What does it add to the subject
area compared with other published material?
The paper should be better documented (cca 25 scientific published articles in references list), very few updated to 2022.
Is the paper well written?
The paper is well written. The quality of English translation is good.
Is the text clear and easy to read?
The text is well structured, clear and easy to read from the specialists in the field but as well as from the persons from public.
Are the conclusions consistent with the evidence and arguments presented?
The conclusions should be enlarged and better represented in the paper for the large public, too. The authors must underline the potential application of Max Fast Fourier Transform (maxFFT) Clustering Approach for Classifying Indoor Air Quality for tracing the source of indoor pollution, influencing factors, etc effects on the human community.
August 2022
Author Response
We wish to thank the reviewer for all the valuable comments and suggestions, which have helped us improve the quality of our manuscript. Please see the attachment for our response to the comments.Author Response File: 
Author Response.pdf
Reviewer 2 Report
The Review report for atmosphere-1867412, “Max Fast Fourier Transform (maxFFT) Clustering Approach for Classifying Indoor Air Quality”
In the submitted manuscript, the authors propose classifying method for room air ventilation efficiency in real school settings. The authors used only time profile of carbon dioxide (CO2) concentration to achive this. The manuscript is well-written and well-organized. With the issue of COVID-19, monitoring indoor air ventilation is extremely important for prevent wide spread of corona viruses. The reviewer recommend the editor to accept this paper in atmosphere after minor revision. The reviewer had question to the authors.
- Significance of classify. On the view of human health, indoor room CO2 concentration should be less than 1000 ppm. Typical CO2 concentration trends far beyond 1000 ppm (see Figs. 3, 4, 7, 15, and etc.). Simple alert of CO2 concentration did not work for good ventilation practice by using measured CO2 concentration value? People can aware to time for force ventilation by noticing “CO2 concentration is over 1000 ppm.”.
Author Response
We wish to thank the reviewer for all the valuable comments and suggestions, which have helped us improve the quality of our manuscript. Please see the attachment for our response to the comments.
Author Response File: Author Response.pdf
