Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Arithmetic Mean01:08

Arithmetic Mean

17.1K
The arithmetic mean is the most commonly used measure of the central tendency of a data set. It is defined as the sum of all the elements constituting the data set, divided by the total number of elements. It is sometimes loosely referred to as the “average.”
When all the values in a data set are not unique, the sum in the numerator can be calculated by multiplying each distinct value by its frequency.
Sometimes, the arithmetic mean of a sample can be affected by a few data points...
17.1K
Arithmetic Sequences01:30

Arithmetic Sequences

174
An arithmetic sequence is a structured arrangement of numbers where each term is derived by adding a constant value, known as the common difference, to the previous term. This consistent pattern allows for the efficient computation of any term within the sequence as well as the cumulative sum of multiple terms. The formula for finding the nth term of an arithmetic sequence is:Here, aₙ represents the nth term of the sequence, a is the first term, d is the common difference, and n is the...
174
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

1.0K
Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
1.0K
Phasor Arithmetics01:13

Phasor Arithmetics

707
Phasors and their corresponding sinusoids are interrelated, offering unique insights into the behavior of alternating current (AC) circuits. One way to understand this relationship is through the operations of differentiation and integration in both the time and phasor domains.
When the derivative of a sinusoid is taken in the time domain, it transforms into its corresponding phasor multiplied by j-omega (jω) in the phasor domain, where j is the imaginary unit, and ω is the angular...
707
Application of Nonlinear Inequalities01:29

Application of Nonlinear Inequalities

191
A nonlinear inequality describes a comparison involving an expression that curves or behaves more complexly than a straight line. These inequalities often appear in forms that include squares, products, or variables in the denominator.To solve such an inequality, one starts by rewriting it so that zero appears on one side. For example, the inequality:  can be factored as: This form makes it easier to identify the values that cause the expression to equal zero. In this case, the...
191
Binomial Expansion Using Pascal's Triangle01:30

Binomial Expansion Using Pascal's Triangle

190
Expanding a binomial expression such as (a + b)n results in a predictable sequence of terms that can be systematically derived using Pascal’s Triangle. This triangular array of numbers plays a central role in understanding and computing the coefficients of binomial expansions.Pascal’s Triangle is constructed such that each row corresponds to the coefficients of a binomial raised to a power. The topmost row, known as the zeroth row, corresponds to (a + b)0, and each successive row...
190

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A Robust Extended Kalman Filter Algorithm Based on a Sliding Window Fractional-Order Grey Prediction Model and Its Application in MINS/GNSS.

Sensors (Basel, Switzerland)·2026
Same author

Lightweight monocular depth estimation using a fusion-improved transformer.

Scientific reports·2024
Same author

LiDAR Dynamic Target Detection Based on Multidimensional Features.

Sensors (Basel, Switzerland)·2024
Same author

A Comparative Study of BDS Triple-Frequency Ambiguity Fixing Approaches for RTK Positioning.

Sensors (Basel, Switzerland)·2021
Same author

A Modified Extended Kalman Filter for a Two-Antenna GPS/INS Vehicular Navigation System.

Sensors (Basel, Switzerland)·2018
Same author

Estimating zenith tropospheric delays from BeiDou navigation satellite system observations.

Sensors (Basel, Switzerland)·2013

相关实验视频

Updated: Jan 9, 2026

Measuring the Switch Cost of Smartphone Use While Walking
07:00

Measuring the Switch Cost of Smartphone Use While Walking

Published on: April 30, 2020

2.2K

一个新的算术优化PDR算法用于智能手机.

Mingze Zhang1, Aigong Xu1

  • 1School of Geomatics, Liaoning Technical University, Fuxin 123000, China.

Sensors (Basel, Switzerland)
|December 11, 2025
PubMed
概括
此摘要是机器生成的。

一个新的行人死亡计算算法 (PDR) 的算术优化算法有效地优化了智能手机的系统参数. 这个AO-PDR算法实现了准确的行人定位,平均误差为0.2893m.

关键词:
这是AO-PDR.健身功能 健身功能 健身功能标题纠正机制 标题纠正机制基于位置的位置服务.最佳的系统参数最佳的系统参数智能手机就是智能手机.

更多相关视频

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
06:00

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection

Published on: January 26, 2024

2.0K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

5.1K

相关实验视频

Last Updated: Jan 9, 2026

Measuring the Switch Cost of Smartphone Use While Walking
07:00

Measuring the Switch Cost of Smartphone Use While Walking

Published on: April 30, 2020

2.2K
Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
06:00

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection

Published on: January 26, 2024

2.0K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

5.1K

科学领域:

  • 计算机科学 计算机科学
  • 导航系统 导航系统
  • 算法优化的算法优化

背景情况:

  • 步行者死亡计算 (PDR) 系统需要准确的参数设置以获得可靠的性能.
  • 现有的PDR算法在参数优化方面面临挑战,影响定位准确性.

研究的目的:

  • 为智能手机提出一种新的算术优化PDR (AO-PDR) 算法.
  • 优化PDR系统参数以提高准确性和效率.

主要方法:

  • 开发了一个使用算术优化算法 (AOA) 的AO-PDR算法.
  • 建立了一个基于定位错误,步骤偏差和步骤长度偏差的健身功能.
  • 应用AOA来搜索步骤检测,长度估计和航向校正的最佳参数.

主要成果:

  • AO-PDR算法高效准确地获得了最佳系统参数.
  • 达到1.352的平均最佳健身,平均运行时间为164.85秒.
  • 在不同的用户和设备中表现出高度的适应性,效率和稳定性,平均定位误差为0.2893m.

结论:

  • AO-PDR算法有效地优化了PDR参数,从而提高了行人定位的准确性.
  • 拟议的方法满足了基于行人位置的服务的准确性要求.
  • AO-PDR为基于智能手机的行人导航提供了强大而高效的解决方案.