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相关概念视频

Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

574
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
574
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

62
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
62
State Space Representation01:27

State Space Representation

162
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
162
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

26
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
26
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

38
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
38
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.0K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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相关实验视频

Updated: Jun 1, 2025

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

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Published on: July 17, 2021

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基于属性的动态访问控制系统的队列理论分析.

Gaurav Madkaikar1, Shamik Sural1, Jaideep Vaidya2

  • 1Indian Institute of Technology Kharagpur, Kharagpur, India.

IFIP advances in information and communication technology
|January 17, 2025
PubMed
概括
此摘要是机器生成的。

基于属性的访问控制 (ABAC) 的效率随着用户授权的增加而下降. 模拟访问调解作为一个M / G / 1队列与假期余额请求解决方案和政策重建,以提高系统性能.

关键词:
一个ABAC一个ABAC政策采矿 政策采矿排队与假期的排队

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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
  • 系统工程 系统工程

背景情况:

  • 基于属性的访问控制 (ABAC) 依赖于政策执行.
  • 增加的特定用户授权可能会降低 ABAC 的性能.
  • 重建 ABAC 策略在计算上是昂贵的,并导致系统停机时间.

研究的目的:

  • 为了应对平衡访问解决方案,动态更新和ABAC政策重建的挑战.
  • 通过辅助授权来提高ABAC系统的效率.
  • 在政策更新期间尽量减少系统不可用性.

主要方法:

  • 模拟访问调解作为一个M / G / 1队列与假期使用队列理论.
  • 分析了请求到达率,解决时间,假期持续时间和间隔的影响.
  • 进行了广泛的实验,以评估拟议的模型.

主要成果:

  • 带有假期模式的M/G/1队列有效平衡了访问请求处理和政策重构.
  • 关键参数显著影响系统性能和可用性.
  • 实验结果提供了对优化ABAC实施的见解.

结论:

  • 排队理论方法为有效的ABAC管理提供了一个可行的解决方案.
  • 对假期参数的动态调整可以提高系统响应能力.
  • 这项研究指导着开发更强大,更有效的ABAC系统.