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相关概念视频

Electro-mechanical Systems01:19

Electro-mechanical Systems

954
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
954
Design Example01:23

Design Example

329
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
329
Semiconductors01:22

Semiconductors

701
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
701
MOSFET01:16

MOSFET

471
The Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) plays a pivotal role in modern electronics thanks to its versatility and efficiency in controlling electrical currents. This device, also known as IGFET, MISFET, and MOSFET, has three main terminals: the Source, Drain, and Gate. MOSFETs are classified into n-channel or p-channel types based on the doping characteristics of their substrate and the source or drain regions.
In an n-MOSFET, the structure includes n-type source and drain...
471
MOSFET: Enhancement Mode01:22

MOSFET: Enhancement Mode

336
Enhancement-mode MOSFETs are pivotal components in electronics, distinguished by their capacity to act as highly efficient switches. They are part of the larger family of metal-oxide Semiconductor Field-Effect Transistors (MOSFETs). They are available in two types: p-channel and n-channel, each tailored to specific polarity operations.
In their basic form, enhancement-mode MOSFETs are typically non-conductive when the gate-source voltage (Vgs) is zero. This default 'off' state means no...
336
Types of Semiconductors01:20

Types of Semiconductors

598
Intrinsic semiconductors are highly pure materials with no impurities. At absolute zero, these semiconductors behave as perfect insulators because all the valence electrons are bound, and the conduction band is empty, disallowing electrical conduction. The Fermi level is a concept used to describe the probability of occupancy of energy levels by electrons at thermal equilibrium. In intrinsic semiconductors, the Fermi level is positioned at the midpoint of the energy gap at absolute zero. When...
598

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Updated: Jul 2, 2025

Fabrication and Validation of an Organ-on-chip System with Integrated Electrodes to Directly Quantify Transendothelial Electrical Resistance
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数字电子系统芯片设计:方法,工具,演变和趋势

Marcian Cirstea1, Khaled Benkrid2, Andrei Dinu3

  • 1School of Computing and Information Science, Anglia Ruskin University, East Road, Cambridge CB1 1PT, UK.

Micromachines
|February 24, 2024
PubMed
概括
此摘要是机器生成的。

本综述探讨了系统上芯片 (SoC) 设计的演变,突出了知识产权 (IP) 产业的影响和自动化工具. 未来的趋势包括机器学习 (ML) 和人工智能 (AI) 以提高性能,功率,面积和成本 (PPAC) 优化.

关键词:
人工智能 (AI) 是一种人工智能.设计方法的设计方法.电子设计自动化 (EDA)电子系统水平 (ESL) 设计设计现场可编程门阵列 (FPGA)生产性设计是一种创造性设计.高级合成 (HLS) 是一种高级合成技术.机器学习 (ML) 是指机器学习.快速的工程提示提示工程芯片上的系统 (SoC)

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科学领域:

  • 电气工程和计算机科学
  • 微电子学微电子学
  • 数字系统设计设计 数字系统设计

背景情况:

  • 系统在芯片 (SoC) 设计已经迅速发展,由技术,经济和地缘政治因素驱动.
  • 工业电子应用需要在性能,功率,面积和成本 (PPAC) 上不断改进.

研究的目的:

  • 审查SoC设计方法和工具的历史发展.
  • 分析知识产权 (IP) 行业在SoC发展中的作用.
  • 确定当前和未来的趋势,包括AI和ML的影响.

主要方法:

  • 审查SoC设计中现有的文献和行业实践.
  • 设计流的分析从抽象到实物实现.
  • 来自航空航天和汽车行业的案例研究.

主要成果:

  • SoC设计主要依赖于IP核心和越来越多的自动化工具来进行验证,合成和路由.
  • 高抽象水平和先进的自动化显著改善了PPAC属性.
  • 机器学习 (ML) 和人工智能 (AI) 正在成为未来SoC优化的关键驱动力.

结论:

  • SoC 设计格局是由知识产权创新和先进的自动化塑造的.
  • 未来的SoC开发将受到AI和ML的显著影响,以获得前所未有的PPAC收益.
  • 人工智能/机器学习的整合有望彻底改变工业电子和其他高科技领域.