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相关概念视频

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

280
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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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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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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...
398
Manipulation and Analysis01:21

Manipulation and Analysis

304
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...
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Thematic Layering in GIS01:30

Thematic Layering in GIS

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In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
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Introduction to GIS01:28

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Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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相关实验视频

Updated: Feb 17, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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使用区块链和智能合约共享地理空间数据的基于属性的访问控制.

Song Li1,2, Wenfen Liu3,4, Yan Wu5

  • 1Joint International Research Laboratory of Spatio-temporal Information and Intelligent Location Services, Guilin, 541004, China. 21031102007@mails.guet.edu.cn.

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本研究引入了一种新的框架,将基于属性的访问控制 (ABAC) 与区块链和智能合约相结合,用于安全的空间数据共享. 新系统在分散的环境中提高了效率和安全性.

关键词:
基于属性的访问控制.区块链 区块链 区块链 区块链分享地理空间数据的共享.超启发式优化优化方法智能合约是一种智能合约.升级了黑翼风算法.

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科学领域:

  • 计算机科学 计算机科学
  • 信息安全 信息安全
  • 地理信息系统 (GIS) 是一个地理信息系统.

背景情况:

  • 传统的访问控制系统在分布式环境中难以实现可扩展性,安全性和透明度,以实现地理空间数据共享.
  • 安全和有效的数据共享对于城市规划,灾害管理和环境监测至关重要.

研究的目的:

  • 为细粒度,分散和防改的地理空间数据共享提出一个新的框架.
  • 将基于属性的访问控制 (ABAC) 与区块链技术和智能合约集成.

主要方法:

  • 该框架结合了ABAC,区块链,智能合约和升级的黑翼 (UBK) 算法.
  • 访问策略和审计日志存储在私有区块链上,使用权威证明共识机制.
  • 一个升级的黑翼 (UBK) 算法被用于增强的访问控制.

主要成果:

  • 与传统的ABAC相比,拟议的方法可减少70%的政策评估时间和52%的存储开销.
  • 在访问决策中实现了98.2%的准确性.
  • 性能测试表明评估时间和存储的线性缩放,适合大规模部署.

结论:

  • 区块链和智能合约的整合确保了安全可审计和自动执行访问政策.
  • 该框架为共享地理空间数据提供了分散和防改的解决方案.
  • 拟议的系统克服了分布式设置中的传统访问控制的局限性.