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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2021A Symmetrically Diminished Interconnected Database Segmentation Framework Using Data Mining8citations
  • 2021Edge Computer-Enabled Internet of Vehicle Applications with Secure Computing and Load Balancing7citations

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Chart of shared publication
Majumder, Darpan
2 / 2 shared
Ashoka, D. V.
2 / 2 shared
Kumar, S. Mohan
2 / 5 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Majumder, Darpan
  • Ashoka, D. V.
  • Kumar, S. Mohan
OrganizationsLocationPeople

article

Edge Computer-Enabled Internet of Vehicle Applications with Secure Computing and Load Balancing

  • Naragunam, A. Shajin
  • Majumder, Darpan
  • Ashoka, D. V.
  • Kumar, S. Mohan
Abstract

<jats:title>Abstract</jats:title><jats:p>In recent years, the Network of Automobiles has attracted great interests. Several IoV applications have been developed to improve road safety, performance and comfort. A virtualization is a common tool for disruption streaming video. However, cloud computing can cause undue delays in applications sensitive to progressive delays, such as auto/assisted driving and emergency error handling. The beneficial technology is edge computed, which expands processing and storage capacities to the network’s periphery. Throughout this report, we merge mobile agent networks or fixed-point processing domains into defined road networks to establish collaboration for all these machine and intensity implementations in IoVs. IoV is designed to optimize the use of these stratified boundary computation strengths in the idea of technology communication and communication technologies. Moreover, the loss of all nodes and communications, which can have life-threatening implications, is possible in an IoV system that is complicated and dynamic. We are integrating both partial computing offloading and consistent job assignments with a reprocessing system for EC-SDIoV to ensure the IoV services’ fulfilment with high reliability. Since the problem of optimization is built to optimize latency durability by the faulty tolerant particulate swarm protocol. The performance appraisal findings validate that both latency reduction and stability are still feasible under the current scheme.</jats:p>

Topics
  • impedance spectroscopy
  • strength
  • durability