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相关概念视频

Vector Algebra: Method of Components01:08

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It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
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Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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数据组件方法基于双因素所有权识别与多模式特征融合.

Shenghao Nie1, Jin Shi1, Xiaoyang Zhou2

  • 1School of Information Management, Nanjing University, 163#XianLin Dadao, Nanjing 210023, China.

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概括

本研究引入了一种双重因素系统,用于确认物联网 (IoT) 生态系统中的数据所有权和可追溯性. 它通过解决所有权模糊性,并确保安全,可验证的数据流来增强数据的市场化.

关键词:
跨领域的数据可追溯性.数据元素的市场化数据元素的市场化.双重因素的所有权确认多式联络功能融合是多式联络的功能.

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科学领域:

  • 计算机科学 计算机科学
  • 数据科学数据科学数据科学
  • 网络安全 网络安全

背景情况:

  • 来自物联网传感器网络的大量多式联网数据在所有权和可追溯性方面带来了挑战.
  • 传统的财产权对于数据的非竞争性质是不够的,造成了市场化障碍.
  • 现有系统在跨组织数据流中与所有权模糊性和可追溯性差距作斗争.

研究的目的:

  • 在可信的物联网驱动数据生态系统中建立本地所有权确认能力.
  • 解决多源数据融合和跨域可追溯性的瓶问题.
  • 支持标准化数据组件,并促进物联网中的数据市场化.

主要方法:

  • 一个双因素系统,将从提取的特征 (文本,数值,视觉,时空) 和RSA/ECDSA私钥签名中结合SHA-256指纹.
  • 使用区块链 (联盟链+IPFS) 和优化的跨域协议集成功能和元数据.
  • 使用传感器生成的检查报告,工业测量,3D扫描,GPS和物联网设备日志.

主要成果:

  • 在所有权识别和反改强度方面表现出强的表现.
  • 在跨域数据流中实现了全链接可追溯性.
  • 验证有效的加密性能和解决所有权确认瓶的问题.

结论:

  • 拟议的方案有效地证实了数据所有权,并提高了物联网环境中的可追溯性.
  • 它为标准化数据组件和数据市场化提供了一个强大的框架.
  • 该系统为数字经济中安全和可核查的数据流通提供技术和理论支持.