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

Manipulation and Analysis01:21

Manipulation and Analysis

23
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
23
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

42
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...
42
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

121
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
121
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

65
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
65

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

Optimising the resilience of shipping networks to climate vulnerability.

Maritime policy and management·2025
Same author

Maritime cybersecurity: are onboard systems ready?

Maritime policy and management·2024
Same author

Use of evidential reasoning and AHP to assess regional industrial safety.

PloS one·2018
查看所有相关文章

相关实验视频

Updated: Jun 20, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K

加强海运安全:对恐怖袭击风险的数据驱动贝叶斯网络分析

Massoud Mohsendokht1, Huanhuan Li1, Christos Kontovas1

  • 1Faculty of Engineering and Technology, Liverpool Logistics, Offshore and Marine (LOOM) Research Institute, Liverpool John Moores University, Liverpool, Merseyside, UK.

Risk analysis : an official publication of the Society for Risk Analysis
|July 21, 2024
PubMed
概括
此摘要是机器生成的。

海上恐怖主义带来了低频率,高后果的风险. 本研究介绍了一种数据驱动的贝叶斯网络 (DDBN) 模型,使用事故数据来分析海上安全风险,并确定导致的因素.

关键词:
贝叶斯网络是一个贝叶斯网络.全球恐怖主义数据库海上恐怖主义 海上恐怖主义安全风险评估安全风险评估

更多相关视频

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

530

相关实验视频

Last Updated: Jun 20, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

530

科学领域:

  • 海上安全 海上安全
  • 风险分析 风险分析
  • 恐怖主义研究 研究 恐怖主义研究

背景情况:

  • 海上恐怖主义事故很少发生,但严重,需要新的分析方法.
  • 现有的关于海上恐怖主义风险的研究是有限的,突出了关键的知识差距.
  • 了解海上安全威胁中的不确定性和相互依存性至关重要.

研究的目的:

  • 开发和验证用于海上安全风险分析的新型数据驱动贝叶斯网络 (DDBN) 模型.
  • 确定导致海上恐怖事件的关键因素及其相互关系.
  • 评估各种海上恐怖主义情景的可能性和影响.

主要方法:

  • 利用过去二十年的历史海上恐怖袭击事故数据.
  • 开发了一个数据驱动的贝叶斯网络 (DDBN) 模型用于风险评估.
  • 用于模型验证和验证的敏感度,指标和比较分析.
  • 测试模型与最近的现实世界案例进行回顾性和前性分析.

主要成果:

  • DDBN模型有效地识别了关键的贡献因素及其复杂的相互依赖关系.
  • 确定了不同恐怖情景的可能性及其对海上作战的影响.
  • 该模型在风险传播方面表现出强大的诊断和预测能力.
  • 对现实事件的验证证实了该模型的有效性.

结论:

  • 开发的DDBN模型为了解和管理海上恐怖主义风险提供了一个强大的框架.
  • 调查结果为公司和政府机构提供了可操作的见解,以加强海上安全.
  • 这项研究有助于加强防范措施和应急管理战略,打击海上恐怖主义.