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

693.932 People

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Aithal, P. S.

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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

AI Bedroom

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

<jats:p>Purpose: Now, artificial intelligence (AI) is booming. Day by day, AI is introduced into the new field. We have lots of expectations for the advancement of AI. In our modern busy schedule, we all expect our everyday monotonous homework to be executed by AI. We are introducing more and more smart devices to do our work smartly. But at the end of the day, all our smart home devices are operated manually. We are not fully satisfied with smart devices. Knowing this, the smart device manufacturer is adding AI features inside their devices. Here, we demonstrate how to build an AI bedroom for better living.Design/Methodology/Approach: We install three devices inside the bedroom. The first is a surveillance PTZ camera, the second is the CPU, and the third is the action module. The camera will capture the events and is transferred to the central processing unit or CPU. It will process the image and then detect the event. Once the event is detected, then through the action module, we trigger the electrical or electronic equipment. Findings/Result:the performance of the centralized system is better than that of distributed individually operated smart devices. Here, we account for two types of performance: the event detection and the action module on the specific action. The event detection module takes much more time due to the processing overhead of the image. We get the result within a couple of milliseconds. Due to the dedicated CPU, the processing is faster than on a cloud-based server, which depends on the bandwidth of the internet. Originality/Value/ Novelty: We studied several research documents on smart homes and artificial intelligence-integrated homes. Most AI homes are built using several smart home appliances operated manually. And there is no centralized control. Without central control, the system could not deliver the best performance. Here, the complete system is nicely controlled by a centralized CPU, which makes it a unique approach to this project. Type of Paper: Conceptual Research.</jats:p>

Topics
  • impedance spectroscopy