Titlebook: Advances in Micro-Electronics, Embedded Systems and IoT; Proceedings of Sixth V. V. S. S. S. Chakravarthy,Wendy Flores-Fuentes,B Conference

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https://doi.org/10.1007/978-3-031-14844-6e manual interruption and reduce time. In this paper, the focus is on automation of a robustness testing tool at container level on Linux server. This robustness scanning tool finds the defects in the microservices of service enablement platform, which are tested protocols in system under test, and

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https://doi.org/10.1007/978-3-031-14844-6 plus time delay (CDSOPTD) systems. The different categories of CDSOPDT systems are considered based on the ratio of time delay to system time constant. CDSOPTD systems performance is analyzed using PID controller. The gains of PID controller are obtained using direct synthesis method with tuning pa

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Martin van den Berg,Klaas Brongerslify and forward (AF) or decode and forward (DF) relaying protocol. We demonstrate performance of the proposed system using linear energy harvesting (EH) with power splitting protocol and incremental relaying to reduce the influence of residual self-interference at relay vehicle. The simulation resu

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Paula Graça,Luis M. Camarinha-Matossing (NLP) which has many applications in social networking and is advantageous to people who are impaired visually. There are different encoders (CNN) for feature extraction from the input image and decoders (RNN) for the language model and attention mechanisms which concentrate on relevant data to

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John Fitzgerald,Jeremy Bryans,Richard Payneerror-tolerant applications. Researchers have proposed many approximate designs for enhancing one of these metrics. In this work, a new approximate adder was designed with reversible logic gates which can have better performance than existing approximate adders. The addition of partial products is a

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David Walters,Jyotirmoyee Bhattacharjyaople daily requirements. Automation of super markets is essential to support the needs of the people. In order to separate the vegetables and fruits based on various classifications such as type, color, and quality, a supervised hybrid deep learning techniques are superior than others. Proposed work