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Design Example: Automobile Ignition System01:14

Design Example: Automobile Ignition System

255
The automobile's ignition system plays a vital role by ensuring the timely ignition of the fuel-air mixture in each cylinder. This ignition is facilitated by a spark plug, which is composed of two electrodes separated by an air gap. A spark forms across this air gap when a substantial voltage is generated between the electrodes, leading to the ignition of the fuel.
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing...
255
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.2K
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...
3.2K
Block Diagram Reduction01:22

Block Diagram Reduction

248
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
248
Design Example: Forces in Sluice Gate01:11

Design Example: Forces in Sluice Gate

865
In hydraulic engineering, sluice gates are essential for managing water flow through channels, reservoirs, and irrigation systems. Sluice gates, acting as vertical barriers, regulate water by adjusting the gate's opening height, which changes the velocity and pressure of water flowing beneath the gate. Understanding the forces involved is crucial to designing sluice gates that can withstand dynamic pressure differences, especially when the gate is closed or partially open.
Key variables in...
865
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

229
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
229
Design Consideration01:22

Design Consideration

212
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
212

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Updated: Jul 24, 2025

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
14:48

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

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在SqueezeSEMAuto上为AutoML案例研究提供微架构设计探索模板.

Chantana Chantrapornchai1, Supasit Kajkamhaeng2, Phattharaphon Romphet2

  • 1Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand. fengcnc@ku.ac.th.

Scientific reports
|June 30, 2023
PubMed
概括

本研究引入了一种AutoML框架,用于自动化卷积神经网络 (CNN) 架构搜索,显著提高图像识别任务的准确性,例如在不需要手动调整的情况下识别面部表情.

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相关实验视频

Last Updated: Jul 24, 2025

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
14:48

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

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科学领域:

  • 深度学习 (Deep Learning) 是一种深度学习.
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 卷积神经网络 (CNN) 模型对于图像识别至关重要,但需要广泛的手动调以获得最佳的架构.
  • 自动机器学习 (AutoML) 提供了一种简化这一过程的解决方案.

研究的目的:

  • 开发和评估一个AutoML框架,用于在CNN中探索微架构块和多输入选项.
  • 通过使用SE块和剩余组合来增强SqueezeNet架构,以获得卓越的性能.

主要方法:

  • 利用了一个AutoML框架,结合了随机,超带和贝叶斯搜索策略.
  • 将框架应用于SqueezeNet,集成SE块和剩余组合.
  • 在CIFAR-10和清华面部表情数据集上评估了性能.

主要成果:

  • 实现了比传统架构更高的精度,无需人工努力.
  • 在CIFAR-10上显示了显著的准确性增长 (在SE区块中高达78%;在传统SqueezeNet中高达50%).
  • 显示了面部表情识别的实质性改进 (高达71%与传统模型的20%以下).

结论:

  • 提出的AutoML方法有效地自动化了CNN架构优化,产生了卓越的准确性和可管理的模型大小.
  • 这种方法显著减少了在深度学习模型设计中需要耗时的手动实验的需要.