0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
Reliability Evaluation of 4:2 Compressors Based on Hammock Networks
Authors :
Farshad Safaei
1
Mohammad mahdi Emadi Kouchak
2
Sara Talebpour
3
1- Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran
2- Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
3- Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran
Keywords :
Network reliability،Hammock networks،Reliability polynomial،Logic gates
Abstract :
Reliability is defined as the system's ability to remain in its operational state after failure in some of its components. Moore and Shannon introduced a probabilistic model in which network nodes are assumed to be completely reliable, but communication links can fail with a specified and assumed probability like p. The main problem is to determine the probability that the said network will remain connected under these conditions. They proposed their reliability analysis on specific networks known as hammock networks. These networks are fitted to circuits with array structures such as FinFET, VSFET, MOSFET, NEMS, and carbon nanotubes. In this article, we leverage combinations of hammock networks to design and implement MOS-based transistors, specifically nMOS and pMOS. Our focus is on evaluating the reliability of 4:2 compressors designed using these networks. The resulting designs excel in terms of time efficiency, occupied area, and power consumption. Within this context, the compressor takes four inputs, intended for addition, and generates two outputs, referred to as sum and carry. Diverse circuit models can be configured for the compressor's internal circuit, each exhibiting differences in speed, power efficiency, and physical footprint. By employing simulation results, we extract several efficiency and reliability metrics for all networks and circuits, meticulously comparing and analyzing their reliability.
Papers List
List of archived papers
Paddy Plant Stress Identification Using Few-Shot Learning Framework
Ervin Gubin Moung - Pavindrah Naidu a/l Narayanasamy Naiidu - Maisarah Mohd Sufian - Valentino Liaw - Ali Farzamnia - Lorita Angeline
IR-LPR: Large Scale of Iranian License Plate Recognition Dataset
Mahdi Rahmani - Melika Sabaghian - Seyyedeh Mahila Moghadami - Mohammad Mohsen Talaie - Mahdi Naghibi - Mohammad Ali Keyvanrad
Community-Based QoE Enhancement for User-Generated Content Live Streaming
Reza Saeedinia - S.Omid Fatemi - Daniele Lorenzi - Farzad Tashtarian - Christian Timmerer
FGM Copula based Analysis of Coverage Region for Wireless Three-User Multiple Access Channel with Correlated Channel Coefficients
Mona Sadat Mohsenzadeh - Ghosheh Abed Hodtani
Detecting Non-Spherical Clusters Using Modified CURE Algorithm
Arezou Safdari - Pedram Salehpour
A Genetic-based Fusion Approach of Persian and Universal Phonetic results for Spoken Language Identification
Ashkan Moradi - Yasser Shekofteh - Saeed Zarei
Efficient Prediction of Cardiovascular Disease via Extra Tree Feature Selection
Mina Abroodi - Mohammad Reza Keyvanpour - Ghazaleh Kakavand Teimoory
An Automated Visual Defect Segmentation for Flat Steel Surface Using Deep Neural Networks
Dorna Nourbakhsh Sabet - Mohammad Reza Zarifi - Javad Khoramdel - Yasamin Borhani - Esmaeil Najafi
Spatio-Temporal Graph Neural Networks for Accurate Crime Prediction
Rojan Roshankar - Mohammad Reza Keyvanpour
Innovative Customer Segmentation based on Multi-Step Sequential Deep Clustering in the Telecommunication Industry
Fatemeh Jalali Farahani - Shima Tabibian
more
Samin Hamayesh - Version 41.7.6