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相关概念视频

Control Systems01:10

Control Systems

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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Distribution Reliability and Automation01:25

Distribution Reliability and Automation

134
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
134
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.2K
Self-Schemas02:16

Self-Schemas

31.2K
In general, 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.
31.2K
Requirements for Human Life01:26

Requirements for Human Life

8.3K
The Earth and its atmosphere have provided humans with air, water, and food, but these are not the only requirements for survival. Humans also require a specific range of temperature and pressure that the Earth and its atmosphere provides.
Oxygen
Atmospheric air is only about 20 percent oxygen, but that oxygen is a key component of the chemical reactions that keep the body alive, including the reactions that produce ATP. Brain cells are susceptible to a lack of oxygen because they require a...
8.3K
Reliability and Validity01:29

Reliability and Validity

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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相关实验视频

Updated: Jul 24, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

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基于来源的信任意识要求 自适应系统的工程框架

Hyo-Cheol Lee1, Seok-Won Lee1,2

  • 1Department of Computer Engineering, Ajou University, Suwon 16499, Republic of Korea.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了自适应系统的信任意识需求工程框架. 它使工程师能够在开发过程中定义和评估信任,确保可靠的系统合作.

关键词:
目标建模目标建模来源来源来源来源来源来源来源来源来源工程要求 工程要求 工程要求自适应系统自适应系统在信任信任信任信任信任信任.

更多相关视频

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

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Interactive and Visualized Online Experimentation System for Engineering Education and Research
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相关实验视频

Last Updated: Jul 24, 2025

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Interactive and Visualized Online Experimentation System for Engineering Education and Research
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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 软件工程 软件工程 软件工程

背景情况:

  • 人工智能系统日益复杂,需要它们之间的有效合作.
  • 信任是成功的系统间合作的关键社会概念,影响预期的结果.
  • 现有的方法缺乏强大的方法来在开发生命周期的早期整合信任考虑.

研究的目的:

  • 提出一种新的方法来定义自适应系统的需求工程阶段的信任.
  • 开发信任证据模型,用于运行时评估对这些系统的信任.
  • 建立一个框架,将信任纳入系统设计的基本方面.

主要方法:

  • 基于来源的信任意识需求工程框架的开发.
  • 使用一种基于信任的目标模型,该模型是从分析需求中的信任概念中得出的.
  • 建议基于来源的信任证据模型用于运行时信任评估.

主要成果:

  • 该框架促进了用户需求的推导,作为一种基于信任的目标模型.
  • 提供了一个标准化的方法来定义特定领域的信任证据模型.
  • 系统工程师可以从需求工程阶段就识别和理解影响信任的因素.

结论:

  • 拟议的框架有效地将信任融入自适应系统的需求工程中.
  • 信任可以被视为在系统开发过程的早期确定的一种新兴属性.
  • 基于来源的方法提供了一个结构化的方法来评估信任及其影响因素.