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相关概念视频

Manipulation and Analysis01:21

Manipulation and Analysis

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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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Issues And Trends In Healthcare Delivery System01:29

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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
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Feedback control systems01:26

Feedback control systems

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
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Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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Levels of Use of a GIS01:29

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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...
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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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分析智能城市的大型移动系统:通过人工智能赋能反范式的宏观微观集成.

Zelin Wang1, Qixiu Cheng2, Ziyuan Gu1

  • 1Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China.

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本综述介绍了带有反的宏微集成 (MMIF) 以分析复杂的大型移动系统. 这种由人工智能驱动的方法增强了对城市动态的理解,以建立更智能,以人为中心的城市.

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科学领域:

  • 复杂系统科学 复杂系统科学
  • 城市规划 城市规划
  • 网络科学 网络科学

背景情况:

  • 巨型移动系统对于智慧城市至关重要,集成运输,通信和能源网络.
  • 这些系统表现出"有组织的复杂性",具有诸如非线性和新兴性质等特征.
  • 传统分析与这些系统中宏观和微观层次之间的相互依赖性作斗争.

研究的目的:

  • 系统地推进宏微整合与反 (MMIF) 作为分析城市大流动性系统的范式.
  • 使用MMIF视角,综合构成子系统中的最新发展情况.
  • 探索人工智能驱动的方法,使MMIF成为可能,并确定未来的研究方向.

主要方法:

  • 对大型移动系统和复杂性科学现有的文献进行系统审查.
  • 用反 (MMIF) 来实现宏微整合的概念框架开发.
  • 对人工智能应用进行分析,以使MMIF能够实现城市大流动性.

主要成果:

  • 该MMIF范式提供了一个统一的视角,以弥合巨型移动分析中的理论和经验差距.
  • 人工智能技术被确定为实施MMIF的关键推动因素.
  • 该审查强调了人工智能驱动的MMIF面临的挑战和未来研究途径.

结论:

  • MMIF为城市发展提供了科学合理的方法,将新兴模式与颗粒动态协调一致.
  • 人工智能赋权的MMIF可以重塑复杂性科学中的跨学科合作.
  • 这个范式为开发智能,适应性和以人为中心的智慧城市提供了一个蓝图.