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Related Concept Videos

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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Control Systems: Applications01:25

Control Systems: Applications

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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
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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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Open and closed-loop control systems01:17

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
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Transfer Function in Control Systems01:21

Transfer Function in Control Systems

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The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
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Obesity01:24

Obesity

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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Multidisciplinary Approach to Obesity Management: A Case Report
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Systems and WBANs for Controlling Obesity.

Maali Said Mohammed1, Sandra Sendra2,3, Jaime Lloret2

  • 1University of Gezira, Wad Madani, Sudan.

Journal of Healthcare Engineering
|March 31, 2018
PubMed
Summary

Obesity affects 13% of adults globally, posing significant health risks. This review explores obesity measurement techniques, health impacts, and technological solutions like mobile apps and Wireless Body Area Networks for better obesity management.

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Area of Science:

  • Public Health
  • Biomedical Engineering
  • Health Informatics

Background:

  • Global obesity rates have doubled since 1980, with 1.9 billion adults overweight and 600 million obese in 2014.
  • Overweight and obesity affect 42 million children under five, highlighting a critical public health issue.
  • Obesity is linked to increased morbidity, mortality, reduced quality of life, and substantial healthcare costs.

Purpose of the Study:

  • To review current techniques for measuring obesity and body fat percentage.
  • To explain the health complications and socioeconomic impact of obesity.
  • To explore technological advancements, including mobile applications and Wireless Body Area Networks (WBANs), for obesity control.

Main Methods:

  • Literature review of obesity measurement techniques and health impacts.
  • Analysis of existing mobile applications and WBANs for obesity management.
  • Proposal of an intelligent architecture integrating physiological and cognitive factors.

Main Results:

  • Obesity measurement techniques and their associated health risks were detailed.
  • The potential of mobile and wearable technologies in promoting healthy lifestyles was examined.
  • A comprehensive study of mobile applications and WBANs for obesity control was presented.

Conclusions:

  • Technological integration, including intelligent architecture considering physiological and cognitive aspects, offers promising avenues for reducing obesity and overweight.
  • Promoting healthy eating and physical activity through technology is crucial.
  • Addressing the global obesity epidemic requires a multi-faceted approach involving technological innovation and lifestyle changes.