Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2024AI Bedroomcitations
  • 2023Advances and New Research Opportunities in Quantum Computing Technology by Integrating it with Other ICCT Underlying Technologies67citations
  • 2023Association Between Delay, Project Size and Low Bid Percentage1citations
  • 2023Let Us Create an Alexa Skill for Our IoT Device Inside the AWS Cloud20citations
  • 2017Literature Review On Organic Materials For Third Harmonic Optical And Photonic Applicationscitations
  • 2017Research Opportunities For Use Of Organic Dye-Doped Polymers And Nanomaterials-Doped Polymers In Optoelectronics And Photonicscitations
  • 2016Type 1 & Type 2 Optical Limiting Studies In Disperse Orange-25 Dye-Doped Pmma-Ma Polymer Films Using Cw Lasercitations
  • 2016Study Of Low Power Degenerate Four-Wave Mixing In Disperse Yellow Dye-Doped Polymer Filmcitations

Places of action

Chart of shared publication
Chakraborty, Sudip
2 / 20 shared
Maharjan, Subhadra
1 / 1 shared
Mishra, A. K.
1 / 9 shared
Aithal, Shubhrajyotsna
1 / 10 shared
Bhat, G. K.
3 / 3 shared
Aithal, Shubrajyotsna
3 / 5 shared
Chart of publication period
2024
2023
2017
2016

Co-Authors (by relevance)

  • Chakraborty, Sudip
  • Maharjan, Subhadra
  • Mishra, A. K.
  • Aithal, Shubhrajyotsna
  • Bhat, G. K.
  • Aithal, Shubrajyotsna
OrganizationsLocationPeople

article

Let Us Create an Alexa Skill for Our IoT Device Inside the AWS Cloud

  • Aithal, P. S.
  • Chakraborty, Sudip
Abstract

<jats:p>Purpose: The Internet of Things (IoT) has changed how we interact with technology, allowing us to control and monitor devices remotely from our smartphones or other devices. One of the most popular ways of interacting with IoT devices is through voice assistants like Amazon Alexa. To integrate an IoT device with Alexa, developers must create a custom Alexa skill to understand voice commands and communicate with the IoT device. This research paper presents a practical guide for developers interested in creating custom Alexa skills for their IoT devices. It covers the essential steps in setting up the AWS IoT platform, designing the Alexa skill's interaction model, and testing the Skill. Design/Methodology/Approach: We decided which load or equipment would be operated using the Alexa voice command. Then we thought about quickly consuming minimal words for each device operation. We prepared the command list in the Excel sheet and a command prototype for Alexa utterances. We created an AWS account in the AWS cloud server and started to create the new Skill. Finally, we must add the AWS lambda function ARN to the Alexa default Endpoint to update the IoT Device shadow for connected devices.Findings/Result:This research demonstrates that the development of an Alexa skill for IoT devices in the AWS Cloud is a reliable, efficient, and flexible approach that has the potential to revolutionize the way we interact with IoT devices in our daily lives. Originality/value: The novelty of this research lies in the fact that it provides a step-by-step guide to developing an Alexa skill for IoT devices in the AWS Cloud. It will also help researchers and developers understand the complexities of developing Alexa skills for IoT devices in the AWS Cloud and how these skills can be used to control IoT devices anywhere. This research will add value to the field by providing developers with the necessary tools and techniques to develop sophisticated and reliable Alexa skills for IoT devices in the AWS Cloud. Paper Type: Experimental-based Research.</jats:p>

Topics
  • impedance spectroscopy