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相关概念视频

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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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Short-distance Transport of Resources02:12

Short-distance Transport of Resources

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Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
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Distributed Loads01:19

Distributed Loads

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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
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Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Block Diagram Reduction01:22

Block Diagram Reduction

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The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
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相关实验视频

Updated: Jan 18, 2026

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

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通过区块链实现智能运输的分散和网络意识的任务卸载.

Fan Liang1

  • 1Department of Computer Science, Sam Houston State University, Huntsville, TX 77341, USA.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

本研究介绍了一个区块链框架,用于智能运输系统 (ITS) 中的分散任务卸载. 拟议的解决方案通过使用网络意识的资源分配和代币化的激励措施来提高效率和安全性,大大减少任务完成时间.

科学领域:

  • 计算机科学 计算机科学
  • 运输工程 运输工程
  • 网络安全 网络安全

背景情况:

  • 智能运输系统 (ITS) 面临着互联汽车日益增长的计算需求.
  • 集中式任务卸载方法在动态的ITS环境中难以实现可扩展性,安全性和适应性.

研究的目的:

  • 为ITS提出基于区块链的去中心化任务卸载框架.
  • 通过网络意识的分配和经济激励来加强计算资源管理.

主要方法:

  • 开发了一个使用区块链进行安全任务分配的去中心化框架.
  • 实施网络意识的资源配置,考虑计算能力,带宽,延迟和数据包丢失.
  • 集成的权益证明 (PoS) 共识和智能合约,用于动态定价和工作负载平衡.

主要成果:

  • 总任务完成时间缩短了12.5-24.3%.
  • 实现了84.2-88.5%的任务成功率,并将资源利用率提高到88.9-92.7%.
  • 持续超过每秒480笔交易 (TPS),区间间为10秒.

结论:

  • 区块链集成的方法提供了一个安全,可扩展和高效的解决方案,用于管理ITS中的计算资源.
关键词:
区块链区块链区块链区块链区块链边缘计算是一种边缘计算.智能运输是一种智能运输.任务卸载 任务卸载

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Last Updated: Jan 18, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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  • 网络意识的卸载与区块链激励相结合,有效地解决了集中式系统的局限性.