Inventi Impact - Embedded Systems
Current Issue : July - September 2020
Volume : 2020
Issue Number : 3
Articles : 5 Articles
Articles
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Inventi:ees/32039/20
Preparation of Multiwall Carbon Nanotubes Embedded Electroconductive Multi-Microchannel Scaffolds for Neuron Growth Under Electrical Stimulation
Objectives. To prepare the conductive MWCNT (multiwall carbon nanotube)-agarose scaffolds with multi-microchannel for neuron growth under electrical stimulation. Methods. The scaffolds were produced by gradient freeze and lyophilization methods. The synthesized materials were characterized by SEM an....
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Inventi:ees/32042/20
A User-Friendly Verification Approach for IEC 61131-3 PLC Programs
Programmable logic controllers (PLCs) are special embedded computers that are widely used in industrial control systems. To ensure the safety of industrial control systems, it is necessary to verify the correctness of PLCs. Formal verification is considered to be an effective method to verify whethe....
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Inventi:ees/32044/20
A Prototype of FPGA Based on Genetic Algorithm Core Connected to a Cluster
In this paper, it was proposed to design and implement a system of parallel processing to find the required solutions from selective algorithms as quickly. Motives for writing paper are the current performance of computer systems that depend on evolutionary algorithms (EA), and the wide spread of th....
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Inventi:ees/32047/20
Ritz Method in Vibration Analysis for Embedded Single-Layered Graphene Sheets Subjected to In-Plane Magnetic Field
Vibrations of single-layered graphene sheets subjected to a longitudinal magnetic field are considered. The Winkler-type and Pasternak-type foundation models are employed to reproduce the surrounding elastic medium. The governing equation is based on the modified couple stress theory and Kirchhoffâ€....
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Inventi:ees/32052/20
Performance of Two Approaches of Embedded Recommender Systems
Nowadays, highly portable and low-energy computing environments require programming applications able to satisfy computing time and energy constraints. Furthermore, collaborative filtering based recommender systems are intelligent systems that use large databases and perform extensive matrix arithme....
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