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相关概念视频

Storage01:23

Storage

57
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
57
Schemas01:42

Schemas

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

49
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...
49
State Space Representation01:27

State Space Representation

154
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...
154
Molecular Models02:00

Molecular Models

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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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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相关实验视频

Updated: May 17, 2025

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
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什么是数据空间-逻辑架构模型

Juha-Pekka Soininen1, Gabriella Laatikainen2

  • 1VTT Technical Research Centre of Finland, Kaitoväylä 1, PO. Box 1100, FI-90571 Oulu, Finland.

Data in brief
|May 15, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了数据空间系统的模型,重点关注协作网络和基于合同的数据共享. 这些模型为开发创新的数据空间解决方案提供了基础性的,技术独立的介绍.

关键词:
数据共享数据的共享.逻辑模型是一个逻辑模型.系统架构 系统架构使用案例模型模型.

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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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科学领域:

  • 计算机科学 计算机科学
  • 信息系统信息系统信息系统

背景情况:

  • 数据空间系统对于安全和高效的数据交换至关重要.
  • 现有的参考模型提供了一个基础,但需要明确的,入门概念化.

研究的目的:

  • 介绍数据空间系统的用例和逻辑架构模型.
  • 为数据空间实施规范提供技术独立的基础.
  • 为数据空间系统提供简单可解释的介绍.

主要方法:

  • 开发一个用例模型和一个逻辑架构模型.
  • 从用户和操作员的角度进行分析,详细说明功能和抽象连接.
  • 与已建立的数据空间参考模型 (IDSA,GAIA-X,数据空间支持中心) 进行验证.

主要成果:

  • 拟议的模型清楚地定义了核心特征,如协作网络和基于合同的数据共享.
  • 模拟的核心特征与现有数据空间系统的技术规格保持一致.
  • 这些模型作为一个可访问的介绍,促进创新解决方案.

结论:

  • 提出的模型为数据空间系统提供了一个经过验证的,技术独立的框架.
  • 这项工作促进了更深入的理解,并鼓励数据空间技术的新开发.
  • 这些模型支持开发人员创建创新的数据空间解决方案.