Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
Volume-3 | Issue-2
Abstractive Summarization System
Volume-3 | Issue-4
Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
Volume-3 | Issue-3
Automated Nanopackaging using Cellulose Fibers Composition with Feasibility in SEM Environment
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
EL DAPP - An Electricity Meter Tracking Decentralized Application
Volume-2 | Issue-1
SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1
ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1
Abstractive Summarization System
Volume-3 | Issue-4
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2
Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Volume - 5 | Issue - 2 | june 2023
Published
23 May, 2023
In order to meet all the expectations of consumers, today's technology is all equipped with large capacity memories. Additional factors include power consumption and delay, all of which are crucial in determining how well a gadget performs. Memory is an important factor of many widgets, and as devices get smaller, their size likewise gets less. Every computerized device, as a result, uses little power, and speed is of utmost importance. Since 6T Static Random Access Memory (SRAM) cells have advantages over other cells, the current scenario suggests that they are frequently employed for SRAM-based memory systems. Today's electronics businesses are primarily concerned with minimizing power consumption, with static and dynamic power dissipation being the two key considerations. Meeting customer demands, high bandwidth, low power, and fast-consuming storages are also required. The major objective of this research is to decrease the power dissipation of the SRAM. The main problem faced by the digital industry is the decrease of power and delay. By connecting two Complementary MOSFET inverters back-to-back, an SRAM cell can be set up in an easy and beneficial manner. This setup offers good noise immunity.
KeywordsStatic Random Access Memory (SRAM) Low Power Consumption and Delay
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