A New Method for Classification of Nano-Structures based on Time Series Analysis and Fuzzy Logic

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

BIGDELI NOOSHIN; JABBARI HAMED

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: SIGNAL AND DATA PROCESSING Year:2017 | Volume:14 | Issue:2 (serial 32) Page(s): 115-129

Download Full-Text

Persian Verion

View:

604

Download:

Cites:

Information Journal Paper

Title

A New Method for Classification of Nano-Structures based on Time Series Analysis and Fuzzy Logic

Author(s)

BIGDELI NOOSHIN | JABBARI HAMED | Issue Writer Certificate

Keywords

SEM image of nanoparticlesQ1

Time series analysesQ1

Statistical featuresQ1

Fuzzy logicQ2

Abstract

The degree of particles dispersion in the nanostructures is of the most important indicators used to verify the performance of the proposed methods in the synthesis of nanomaterials. Scanning electron microscopy (SEM) images of nanoparticles have structural, chemical and morphological information in nano-meters with high resolution. In this paper, classification of nanostructures using time series analysis and Statistical features is presented. To reach this, SEM images were converted to the time series, and their Statistical features were extracted from them. These features were fed to a fuzzy inference system as its inputs to classify the images of nanostructures as good, average and bad structures. The obtained results for 65 SEM images of nanoparticles with the same dimensions (250 × 250 pixels) showed more than 90% accuracy.

Cites

No record.

References

No record.

Cite

APA: Copy

BIGDELI, NOOSHIN, & JABBARI, HAMED. (2017). A New Method for Classification of Nano-Structures based on Time Series Analysis and Fuzzy Logic. SIGNAL AND DATA PROCESSING, 14(2 (serial 32) ), 115-129. SID. https://sid.ir/paper/160754/en

Vancouver: Copy

BIGDELI NOOSHIN, JABBARI HAMED. A New Method for Classification of Nano-Structures based on Time Series Analysis and Fuzzy Logic. SIGNAL AND DATA PROCESSING[Internet]. 2017;14(2 (serial 32) ):115-129. Available from: https://sid.ir/paper/160754/en

IEEE: Copy

NOOSHIN BIGDELI, and HAMED JABBARI, “A New Method for Classification of Nano-Structures based on Time Series Analysis and Fuzzy Logic,” SIGNAL AND DATA PROCESSING, vol. 14, no. 2 (serial 32) , pp. 115–129, 2017, [Online]. Available: https://sid.ir/paper/160754/en

Related Journal Papers