AIoTベースのアイリッシュ拡張の耐久性評価は,LabVIEWデータ分析を使用しています

Sumei Chiang¹, Shao-Hsun Chang¹, Kai-Chao Yao¹

¹Department of Electrical and Mechanical Technology, College of Technology, National Changhua University of Education, Bao-Shan Campus, No. 2, Shi-Da Rd., Changhua City 500208, Taiwan.

Sensors (Basel, Switzerland)

|August 28, 2025

まとめ

この研究は高温と強い風が眉毛の伸縮の耐久性を低下させることを示していますしかし,物事の人工知能実験デバイスプラットフォーム (AIoTEDP) は,眉毛の長寿のための効果的な美容検査を実証しています.

科学分野:

化粧品科学
材料科学
エンジニアリング

背景:

消費者の満足度には耐久性が重要です
環境要因は化粧品の性能に大きく影響します
眉毛の長寿を測る標準化された検査方法がない

研究の目的:

アイリッシュ拡張の耐久性を評価するための新しいプラットフォーム,物事の人工知能実験デバイスプラットフォーム (AIoTEDP) を導入します.
温度,風速,圧縮周波数の影響を評価する.
AIoTEDPの実用性と正確さを化粧品のテストで検証する.

主な方法:

データ収集と分析のためにLabVIEWで3要素のフルファクトリアルデザインを使用した.
AIoTEDPを使用して環境条件 (温度,風,圧縮) をシミュレートしました.
視覚的評価と画像認識技術を用いて定量分析を行った.

主要な成果:

高い気温と強い風により眉毛の伸びの耐久性が著しく低下しました
適度な屈曲 (3000回) は保持率を損ねなかった.
AIoTEDPは現実の条件を正確にシミュレートし,信頼性の高い耐久性データを提供しました.

結論:

AIoTEDPはアイリッシュ拡張の耐久性をテストするための実践的で正確なシステムです
熱や風などの環境要因はの長寿を決定します
AIoTEDPは革新的な化粧品検査システムの可能性を秘めています

キーワード:

AIoT について LabVIEW について化粧品検査耐久性について眉毛の延長

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