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相关概念视频

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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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...
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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Selected Data About Geographic Locations01:25

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Health Information Technology and Healthcare Information System01:30

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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Updated: Sep 18, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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通过协作移动,区域和云计算进行社会大数据管理.

Afzal Badshah1, Ameen Banjar2, Safa Habibullah2

  • 1Department of Software Engineering, University of Sargodha, Sargodha, Punjab, Pakistan.

PeerJ. Computer science
|June 26, 2025
PubMed
概括
此摘要是机器生成的。

这项研究提出了一个协作移动,区域和云计算结构,用于从智能设备管理社会大数据 (SBD). 该方法减少了网络压力,提高了性能,降低了社交媒体平台的成本.

关键词:
大数据就是大数据.云计算是一种云计算.计算机网络是计算机网络.边缘计算是一种边缘计算.移动计算 移动计算区域计算 区域计算

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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
  • 网络工程 网络工程

背景情况:

  • 智能设备产生大量的社会大数据 (SBD),压倒主流网络并降低性能.
  • 目前的网络基础设施与SBD的大量和本地化性质作斗争,导致成本和延迟增加.
  • 很大一部分SBD来自本地地区,不需要立即远程服务器迁移.

研究的目的:

  • 提出一个集成移动边缘计算 (MEC),区域计算 (RC) 和云计算 (CC) 的协作计算框架.
  • 解决SBD在社交媒体平台 (SMP) 造成的性能下降和成本问题.
  • 为SBD优化数据访问和传输策略.

主要方法:

  • 开发了一种混合计算模型,将MEC,RC和CC结合起来,用于SBD管理.
  • 实施了分层数据存储和访问策略,优先考虑最近的可用资源.
  • 计划大数据传输到非高峰时段,以缓解高峰时段的网络拥堵.

主要成果:

  • 在社交网络平台上显著减少网络延迟和响应时间.
  • 通过优化数据处理和减少对远程云服务器的依赖,实现了巨大的成本节约.
  • 有效地缓解了SBD对主流和社交网络基础设施的绩效影响.

结论:

  • 拟议的协作MEC,RC和CC结构有效地管理SBD挑战.
  • 这种混合方法提高了社交媒体平台的性能,并降低了运营成本.
  • 优化数据位置和传输时间表对于处理智能设备生态系统的需求至关重要.