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相关概念视频

Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Random and Systematic Errors01:20

Random and Systematic Errors

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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

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Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
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Accuracy and Precision01:52

Accuracy and Precision

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate...
8.9K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

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When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.6K
Rules for Significant Figures01:44

Rules for Significant Figures

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In any measurement, the precision of the measuring tool is an essential factor. An ordinary ruler, for example, can measure length to the closest millimeter; a caliper, on the other hand, can measure length to the nearest 0.01 mm. As a result, the caliper is a more precise measurement tool because it can measure extremely minute changes in length. The measurements will be more accurate if the measuring tool is more precise.
It should be emphasized that when we represent measured values, the...
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Updated: Jul 7, 2025

Measurement of Spatial Stability in Precision Grip
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在区块链中的传感器测量可靠性方面

Ernesto Gómez-Marín1,2, Luis Parrilla2, Jose L Tejero López2

  • 1Infineon Technologies AG, 85579 Neubiberg, Germany.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了物联网 (IoT) 设备的安全架构,用于向区块链供应链发送数据. 它使用硬件安全模块和基于区块链的新公共钥匙基础设施 (PKI) 提高了数据完整性和可信度.

关键词:
物联网 (IoT) 的物联网 (IoT) 的物联网.区块链区块链区块链区块链区块链硬件预言器 硬件预言器公共关键基础设施 (PKI)智能合约是一个智能合约.可信度 值得信赖 值得信赖

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科学领域:

  • 计算机科学 计算机科学
  • 密码学 密码学 密码学 密码学
  • 分布式系统 分布式系统

背景情况:

  • 区块链提供安全的数据处理,但数据真实性依赖于可信的信息来源 (Oracles).
  • 在不受控制的环境中,物联网设备对区块链应用中的数据可靠性和安全性构成挑战.
  • 现有的解决方案缺乏对物联网神器传输传感器数据到区块链的全面安全性.

研究的目的:

  • 为物联网Oracle向基于区块链的供应链发送数据提供一个整体的,安全的架构.
  • 确保物联网设备数据的真实性,完整性,可信性和新鲜性.
  • 解决安全物联网Oracle实现区块链集成的缺口.

主要方法:

  • 利用硬件安全模块 (HSM) 确保设备的完整性和可靠性.
  • 开发了一种新的公共钥匙基础设施 (PKI),利用区块链来实现真实性,可追溯性和数据新鲜性.
  • 在以太坊区块链上实施和评估解决方案.

主要成果:

  • 拟议的架构成功地解决了物联网Oracle的关键安全要求.
  • 展示了使用HSM和基于区块链的PKI用于安全数据传输的可行性.
  • 在以太坊网络上对安全要求和响应时间的评估性能.

结论:

  • 展示的安全架构为整合物联网设备作为区块链系统中的Oracle提供了强大的解决方案.
  • 高质量管理系统和基于区块链的PKI的结合提高了供应链应用程序中输入数据的可靠性.
  • 未来的工作重点是解决当前设计中发现的灵活性局限性.