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相关概念视频

Relative Risk01:12

Relative Risk

177
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
177
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

50
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
50
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

698
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
698
Uncertainty: Overview00:59

Uncertainty: Overview

560
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
560
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

528
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
528
Actuarial Approach01:20

Actuarial Approach

79
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
79

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相关实验视频

Updated: Jul 8, 2025

An R-Based Landscape Validation of a Competing Risk Model
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基于第三方风险建模的无人机路径规划.

Haoyang Tang1, Qiang Zhu2, Bo Qin2

  • 1School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, 710121, China. tanghaoyang@xupt.edu.cn.

Scientific reports
|December 14, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的无人机 (无人机) 路径规划方法,该方法考虑城市风险,以最大限度地减少潜在的危害. 这种方法有效地减少了飞行路径风险,提高了城市环境中的无人机安全.

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科学领域:

  • 机器人技术和自主系统
  • 城市规划和风险管理
  • 交通运输中的人工智能

背景情况:

  • 无人机提供了城市便利,但也带来了重大第三方风险,包括潜在故障造成的伤亡和财产损失.
  • 目前的无人机路径规划主要优化最小的飞行距离,忽视关键的第三方风险因素.
  • 无人驾驶飞行器 (UAV) 越来越多地融入城市空域,需要先进的安全和风险减轻策略.

研究的目的:

  • 为在城市环境中运行的无人机提出一个全面的风险成本路径规划方法.
  • 开发第三方风险模型,整合城市飞行中的障碍,死亡和财产损失风险.
  • 通过尽量减少暴露在高风险城市区域,提高无人机操作的安全性和可靠性.

主要方法:

  • 开发第三方风险模型,评估城市危险 (障碍物,死亡事故,财产损失).
  • 实施一个最小成本A*算法,结合整个城市的风险评估来寻找路径.
  • 应用一个改进的Floyd算法来平滑生成的低风险无人机飞行路径.

主要成果:

  • 拟议的方法有效地减少了与城市环境中的无人机飞行路径相关的整体风险.
  • 在复杂的城市景观中,无人机导航的可靠性和安全性得到了明显的改善.
  • 成功解决了规划无人机路线的挑战,从而积极减轻第三方风险.

结论:

  • 新的风险-成本路径规划方法显著提高了城市环境中的无人机安全.
  • 将全面的风险评估整合到路线规划中,对于负责任的无人机部署至关重要.
  • 这种方法提供了一个可行的解决方案,以减轻自主城市空中交通中的第三方风险.