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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
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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.
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A Fully Open-Source Approach to Intelligent Edge Computing: AGILE's Lesson.

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  • 1OpenIoT Research Unit, Fondazione Bruno Kessler, 38123 Trento, Italy.

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Summary
This summary is machine-generated.

The AGILE project developed a flexible, low-cost framework for adaptive Internet of Things (IoT) gateways. This modular solution supports rapid prototyping and customization for diverse consumer and industrial IoT applications.

Keywords:
IoTedge computingknowledge-based configurationmodular approachopen hardwareopen sourcerecommender systems

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Embedded Systems

Background:

  • The Internet of Things (IoT) market suffers from fragmentation, particularly in embedded, multi-service, adaptive gateways.
  • Lack of cost-effective, flexible solutions hinders rapid prototyping and market entry for new IoT applications.

Purpose of the Study:

  • To present the outcomes of the AGILE project, which delivered a modular hardware and software framework for adaptive IoT gateways.
  • To provide a low-cost solution for proof-of-concept implementations and rapid prototyping in consumer and industrial IoT markets.

Main Methods:

  • Development of a modular, open-source hardware and software framework named AGILE.
  • Implementation of a multi-service gateway to manage non-IP IoT devices.
  • Demonstration through two distinct showcases: a quantified self application and an industrial air pollution monitoring station.

Main Results:

  • AGILE offers a cost-effective, customizable foundation for developing and deploying complete IoT solutions.
  • The framework simplifies market access for startups and allows end-user customization.
  • Successful configuration, deployment, and assessment of diverse IoT applications were achieved.

Conclusions:

  • The AGILE framework addresses the need for adaptable, affordable IoT gateway solutions.
  • It fosters innovation by enabling rapid prototyping and customization for both consumer and industrial sectors.
  • The project highlights the benefits of open principles in hardware and software for the IoT ecosystem.