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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Deindividuation00:57

Deindividuation

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Deindividuation is a form of social influence on an individual’s behavior such that the individual engages in unusual or non-normal behavior while in a group setting. Why? Because in these group settings, the individual no longer sees themselves as an individual anymore, disinhibiting their behavior and personal restraint.
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Nonconscious Mimicry01:13

Nonconscious Mimicry

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Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
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Aliasing01:18

Aliasing

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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
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Masking and Demasking Agents01:19

Masking and Demasking Agents

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EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
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相关实验视频

Updated: Jun 19, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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在传感器欺骗攻击下的多代理系统的量子化基础的自适应模糊共识:一种新的补偿机制.

Na Zhang, Guoliang Chen, Jianwei Xia

    IEEE transactions on cybernetics
    |July 24, 2024
    PubMed
    概括

    本研究开发了针对面临未知方向和欺骗攻击的非线性多代理系统 (MAS) 的安全自适应控制. 拟议的方法确保了共识跟踪和系统稳定,尽管存在干扰.

    科学领域:

    • 控制理论 控制理论
    • 非线性系统是非线性系统.
    • 多代理系统 (MAS) 是一个多代理系统.

    背景情况:

    • 在非线性MAS中研究了自适应的领导者遵循共识跟踪.
    • 解决包括未知控制方向,外部干扰和传感器欺骗攻击在内的挑战.

    研究的目的:

    • 为非线性MAS设计一个安全的自适应共识跟踪控制方案.
    • 为了有效地处理未知的控制方向和传感器欺骗攻击.

    主要方法:

    • 引入了对具有已知的控制方向的等效MAS的线性状态转换.
    • 设计了一个基于量子化的模糊状态观察器,使用模糊逻辑系统 (FLS) 来进行状态估计.
    • 开发了一种新的补偿机制,并使用Nussbaum类型的功能来管理控制收益和过错误.

    主要成果:

    • 实现了共识追踪错误的汇聚到源地的一个小邻里.
    • 确保闭环系统内的所有信号保持受限.
    • 通过模拟来证明安全控制方案的可行性.

    结论:

    • 拟议的安全控制方案有效地解决了在非线性MAS中的自适应领导者遵循共识跟踪问题.

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  • 该方法提供了对未知的控制方向,干扰和欺骗攻击的稳定性.