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Article
Peer-Review Record

Lawn Lamp Design Based on Fuzzy Control and Secondary Optical Optimization

Appl. Sci. 2023, 13(3), 1631; https://doi.org/10.3390/app13031631
by Xinjing Qin, Zhisheng Wang *, Manqun Zhang, Yue Feng and Kexian Li
Reviewer 1:
Reviewer 2: Anonymous
Appl. Sci. 2023, 13(3), 1631; https://doi.org/10.3390/app13031631
Submission received: 5 November 2022 / Revised: 3 January 2023 / Accepted: 11 January 2023 / Published: 27 January 2023
(This article belongs to the Special Issue Smart Lighting and Visual Safety)

Round 1

Reviewer 1 Report

The manuscript is well written and well organized and the results are interesting notably.

 I recommend publishing it in its present form.

 

 

 

 

Author Response

Thank you very much for reviewing and giving us positive comments on the article!

Author Response File: Author Response.docx

Reviewer 2 Report

In the present form, the manuscript lacks coherency, as it is not clearly stated the connection between the design of the fuzzy controller and the lens. Some comments that can be helpful are stated.

1. Please define the term "lack of intelligence", described in line 76.

2. It is not clearly stated why it is necessary to introduce an adaptive system in the lawn lamps.

3. The procedure to develop the fuzzy classifier is not clearly described. For instance, do the authors use a Sugeno or mandami inference machine? 

4. The experimental setup and the physical prototype description are not presented. 

5. The presented results and their discussion can be improved. Does the lens mitigate the necessity of employing the designed controller? What are the advantages of employing an "intelligent lamp"? Do the electricity composition generates a saving for the users?

Author Response

Thank you very much for your revision! Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

I have noted several minor comments to improve the work:

1) References 8 and 9 present an error in the document in the introduction section

2) More than 50% of references are outdated or more than 5 years old. Please I recommend updating them.

3) Table 3 is hard to understand, please explain it better in one paragraph and restructure or split it into two parts.

Author Response

Thank you very much for your revision! Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

The authors have addressed the reviewer's concern. 

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