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Related Concept Videos

Machines01:19

Machines

378
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
378
Machines: Problem Solving II01:30

Machines: Problem Solving II

434
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
434
Machines: Problem Solving I01:22

Machines: Problem Solving I

461
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
461
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

923
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
923
Control Systems: Applications01:25

Control Systems: Applications

848
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...
848
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

363
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
363

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Operation of the Collaborative Composite Manufacturing CCM System
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[What can machines do?]

Alexander Piotrowski1, Fabian Siegel2

  • 1Urologie, Oberösterreichische Gesundheitsholding GmbH, PEK Klinikum Steyr, Sierningerstraße 170, 4400 Steyr, Österreich.

Journal Fur Urologie Und Urogynakologie : Zeitschrift Fur Urologie Und Urogynakologie in Klinik Und Praxis
|November 3, 2021
PubMed
Summary
This summary is machine-generated.

Big data and artificial intelligence (AI) are revolutionizing medicine, aiding diagnostics in fields like radiology and pathology. Future applications promise enhanced patient care and discovery of new medical insights.

Keywords:
Artificial intelligenceBig dataImage analysisMachine learningResearch

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Big Data Analytics

Context:

  • Advancements in computing and storage capacity are driving the integration of big data and artificial intelligence (AI) into medical practices.
  • Current applications are prominent in radiology, pathology, genome sequencing, and psychiatry.
  • Patient-generated health data from wearables presents new opportunities and challenges.

Purpose:

  • To explore the expanding applications of big data and AI in medicine.
  • To identify patterns in large datasets for physician decision support and preselection.
  • To uncover novel connections and insights within medical data.

Summary:

  • Big data and AI are revolutionizing medicine by analyzing vast datasets to assist physicians and discover new patterns.
  • Applications span diagnostics, treatment optimization (e.g., urology for infections and kidney stones), and personalized medicine.
  • The use of patient-generated data from wearables is a key area for future development.

Impact:

  • AI and big data are poised to significantly improve diagnostic accuracy and treatment efficacy.
  • These technologies offer the potential to streamline clinical workflows and enhance patient outcomes.
  • The ongoing development signifies a transformative era in healthcare, with broad future applications expected.