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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
With this, we can increase the number of faulty elements in the hypercube, which is obstacle for effective data processing and communication processes in such a system.
📌 3 Key Takeaways
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Objective & Hypothesis:A procedure for definition of neighborhood and fault free subcubes in a faulty hypercube is developed in this study.
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Key Findings & Data:The cube algebra operations are used for proposed procedure.
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Conclusion & Impact:With this, we can increase the number of faulty elements in the hypercube, which is obstacle for effective data processing and communication processes in such a system.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
A procedure for definition of neighborhood and fault free subcubes in a faulty hypercube is developed in this study. The cube algebra operations are used for proposed procedure. With this, we can increase the number of faulty elements in the hypercube, which is obstacle for effective data processing and communication processes in such a system.
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Cite This Article
ALLAHVERDİ, N. (1999). Procedure for definition of neigherborhood in faulty hypercube multiprocessor. Mathematical and Computational Applications, Cilt: 4 - Sayı: 1, 17–23. https://ajindex.com/articles/280398