Software Version Discrepancy: Arduino Spectrum Analyzer for Teaching in Data Acquisition, FFT and Real‐Time System.
Saved in:
| Title: | Software Version Discrepancy: Arduino Spectrum Analyzer for Teaching in Data Acquisition, FFT and Real‐Time System. |
|---|---|
| Authors: | Takefuji, Yoshiyasu1 (AUTHOR) takefuji@keio.jp |
| Source: | Computer Applications in Engineering Education. Mar2026, Vol. 34 Issue 2, p1-7. 7p. |
| Subjects: | Software versioning, Arduino (Microcontroller), Acquisition of data, Fast Fourier transforms, Microcontrollers, Science education, Spectrum analyzers, Real-time computing |
| Abstract: | Educators face significant challenges in delivering comprehensive instruction on Fast Fourier Transform (FFT) due to the scarcity of affordable, hands‐on learning materials that simultaneously integrate hardware components and software applications. This paper presents an inexpensive Arduino‐based real‐time audio spectrum analyzer that serves as an effective educational platform for teaching data acquisition, FFT analysis, and graphical display techniques. Our implementation employs minimal components: an Arduino Nano microcontroller, an OLED 128 × 64 (I2C) display, and a microphone input, creating an accessible standalone system for remote learning environments. Critically, we address the often‐overlooked issue of software version discrepancies in open‐source libraries, demonstrating how these inconsistencies quantifiably impact system functionality and real‐time performance. Our benchmarking reveals that using incompatible library versions resulted in a 50% reduction in processing speed (from 12 fps to 6 fps), introduced a lag of more than 100 ms, and produced significant display artifacts that affected measurement accuracy. These performance differences directly impact the educational utility of the system, particularly when teaching time‐critical applications. The paper provides practical guidance on calibration techniques for accurate measurement and strategies for navigating software compatibility challenges. This approach enables students and novice engineers to construct and experiment with functional spectrum analyzers outside traditional laboratory settings, while simultaneously developing crucial skills in troubleshooting the software version discrepancies that commonly affect real‐world engineering projects. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer Applications in Engineering Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 192558403 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Software Version Discrepancy: Arduino Spectrum Analyzer for Teaching in Data Acquisition, FFT and Real‐Time System. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Takefuji%2C+Yoshiyasu%22">Takefuji, Yoshiyasu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> takefuji@keio.jp</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Applications+in+Engineering+Education%22">Computer Applications in Engineering Education</searchLink>. Mar2026, Vol. 34 Issue 2, p1-7. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Software+versioning%22">Software versioning</searchLink><br /><searchLink fieldCode="DE" term="%22Arduino+%28Microcontroller%29%22">Arduino (Microcontroller)</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Fast+Fourier+transforms%22">Fast Fourier transforms</searchLink><br /><searchLink fieldCode="DE" term="%22Microcontrollers%22">Microcontrollers</searchLink><br /><searchLink fieldCode="DE" term="%22Science+education%22">Science education</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analyzers%22">Spectrum analyzers</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Educators face significant challenges in delivering comprehensive instruction on Fast Fourier Transform (FFT) due to the scarcity of affordable, hands‐on learning materials that simultaneously integrate hardware components and software applications. This paper presents an inexpensive Arduino‐based real‐time audio spectrum analyzer that serves as an effective educational platform for teaching data acquisition, FFT analysis, and graphical display techniques. Our implementation employs minimal components: an Arduino Nano microcontroller, an OLED 128 × 64 (I2C) display, and a microphone input, creating an accessible standalone system for remote learning environments. Critically, we address the often‐overlooked issue of software version discrepancies in open‐source libraries, demonstrating how these inconsistencies quantifiably impact system functionality and real‐time performance. Our benchmarking reveals that using incompatible library versions resulted in a 50% reduction in processing speed (from 12 fps to 6 fps), introduced a lag of more than 100 ms, and produced significant display artifacts that affected measurement accuracy. These performance differences directly impact the educational utility of the system, particularly when teaching time‐critical applications. The paper provides practical guidance on calibration techniques for accurate measurement and strategies for navigating software compatibility challenges. This approach enables students and novice engineers to construct and experiment with functional spectrum analyzers outside traditional laboratory settings, while simultaneously developing crucial skills in troubleshooting the software version discrepancies that commonly affect real‐world engineering projects. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Applications in Engineering Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192558403 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/cae.70174 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 1 Subjects: – SubjectFull: Software versioning Type: general – SubjectFull: Arduino (Microcontroller) Type: general – SubjectFull: Acquisition of data Type: general – SubjectFull: Fast Fourier transforms Type: general – SubjectFull: Microcontrollers Type: general – SubjectFull: Science education Type: general – SubjectFull: Spectrum analyzers Type: general – SubjectFull: Real-time computing Type: general Titles: – TitleFull: Software Version Discrepancy: Arduino Spectrum Analyzer for Teaching in Data Acquisition, FFT and Real‐Time System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Takefuji, Yoshiyasu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10613773 Numbering: – Type: volume Value: 34 – Type: issue Value: 2 Titles: – TitleFull: Computer Applications in Engineering Education Type: main |
| ResultId | 1 |
