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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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Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists01:30

Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists

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Cognitive enhancers, also known as "smart drugs," are substances used to enhance memory, mental alertness, and concentration. These can be natural or synthetic and improve cognition in conditions like Alzheimer's disease (AD) and other neurodegenerative diseases. Some common examples include caffeine, amphetamines, methylphenidate, modafinil, arecoline, donepezil, vortioxetine, and piracetam. These enhancers work on the principle of synaptic plasticity and altered circuit function.
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Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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相关实验视频

Updated: May 29, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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通过远程基于认知风险控制来加强假冒RFID标签的分类.

Haifeng Wu1,2, Siyuan Wang3, Chongrong Pu3

  • 1School of Electrical and Information Engineering, Yunnan Minzu University, Kunming, 650500, China. whf5469@gmail.com.

Scientific reports
|February 3, 2025
PubMed
概括

这项研究通过使用认知风险控制来增强无线电频率识别 (RFID) 标签认证,以提高信号噪声比 (SNR) 和在低SNR设置中的分类准确性. 该方法将精度提高11%,提供了针对假冒标签的强有力的解决方案.

关键词:
打击假冒和伪造的行为在CRC中,CRC就是CRC.通过PHY身份识别.在这里,我们可以使用RFID RFID.标签 标签 标签 标签 标签

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相关实验视频

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科学领域:

  • 电气工程 电气工程
  • 计算机科学 计算机科学
  • 网络安全 网络安全

背景情况:

  • 物理层识别对于无线电频率识别 (RFID) 系统中具有成本效益的防伪至关重要.
  • 低信号噪声比 (SNR) 的环境大大降低了RFID标签分类的准确性.
  • 现有的方法在具有挑战性的检测条件下难以保持高识别精度.

研究的目的:

  • 引入一种认知风险控制策略,以提高RFID标签在低SNR环境中的分类准确性.
  • 研究微调标签距离对提高SNR和识别精度的影响.
  • 为了评估扩展特征集对分类有效性的好处.

主要方法:

  • 实施了认知风险控制策略,调整标签距离以优化SNR.
  • 提取了一个丰富的特征集,包括104个时间和频率域特征.
  • 使用软件定义无线电设备进行分类实验,使用三家制造商的七种RFID标签类型.

主要成果:

  • 认知风险控制策略将平均标签分类准确度提高了约11%.
  • 使用 104 个特征,与传统的 28 个和 7 个特征相比,提高了 4.3% 和 5.3% 的精度.
  • 提出的方法在低SNR条件下显示出显著的性能增长.

结论:

  • 认知风险控制在提高RFID标签分类准确性方面是有效的,特别是在低SNR场景中.
  • 扩大特征集大小进一步提高了分类性能.
  • 该研究提供了一种可行的方法,通过改进物理层识别来打击假冒RFID标签.