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関連する概念動画

Symmetric Member in Bending01:07

Symmetric Member in Bending

593
In the study of the mechanics of materials, analyzing the behavior of prismatic members under opposing couples is crucial for understanding internal stress distributions, which are essential for structural design. When subjected to couples, a prismatic member experiences internal forces that maintain equilibrium. A couple, characterized by two equal and opposite forces, creates a moment but no resultant force. The internal forces at any section cut of the member must balance these external...
593
Encoding01:19

Encoding

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Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
837
Deformations in a Symmetric Member in Bending01:18

Deformations in a Symmetric Member in Bending

513
When analyzing the deformation of a symmetric prismatic member subjected to bending by equal and opposite couples, it becomes clear that as the member bends, the originally straight lines on its wider faces curve into circular arcs, with a constant radius centered at a point known as Point C. This phenomenon helps to understand the stress and strain distribution within the member more clearly.
When the member is segmented into tiny cubic elements, it is observed that the primary stress...
513
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

409
The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
The M/EI...
409
Gravitation Between Spherically Symmetric Masses01:14

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The gravitational potential energy between two spherically symmetric bodies can be calculated from the masses and the distance between the bodies, assuming that the center of mass is concentrated at the respective centers of the bodies.
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IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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関連する実験動画

Updated: Jan 29, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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特徴エンコーディングと対称準同型暗号に基づく効率的なプライバシー保護顔認識

Limengnan Zhou1, Qinshi Li2, Hui Zhu3

  • 1School of Electronic and Information Engineering, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528402, China.

Entropy (Basel, Switzerland)
|January 28, 2026
PubMed
まとめ

本研究では、顔特徴コーディング法（FFCM）と準同型暗号を用いたプライバシー保護顔認識システムを紹介します。この新しいアプローチは、計算エントロピーを削減して顔プライバシー保護を強化することにより、効率とセキュリティを向上させます。

キーワード:
顔認識準同型暗号プライバシー

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科学分野:

  • コンピュータサイエンス
  • 暗号理論
  • 生体認証

背景:

  • プライバシー保護顔認識システムは、計算の非効率性と高いエントロピーという課題に直面しています。
  • 既存の方法では、セキュリティ、効率、プライバシー保護のバランスをとることがしばしば困難です。

研究 の 目的:

  • 効率的で安全なプライバシー保護顔認識方法を提案すること。
  • 計算エントロピーを削減し、顔データを保護しながらシステム効率を向上させること。

主な方法:

  • 顔特徴コーディング法（FFCM）と対称準同型暗号を利用しました。
  • ニューラルネットワークベースのFFCMを使用してN項特徴ツリーを構築し、マッチングを高速化しました。
  • 軽量対称準同型暗号を採用し、暗号文での安全なコサイン類似度計算を行いました。

主要な成果:

  • 暗号文検索効率の大幅な向上を達成しました。
  • 最先端のソリューションと比較して、4%から6%高い顔認証効率を示しました。
  • セキュリティ分析により、パッシブ攻撃およびアクティブ攻撃に対する耐性が確認されました。

結論:

  • 提案された方法は、プライバシー保護顔認識のための効率的で安全、かつエントロピーを考慮したアプローチを提供します。
  • この技術は、大規模アプリケーションで大幅な改善を示しています。
  • システムのパフォーマンスを損なうことなく、顔のプライバシーが効果的に保護されます。