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4 articles for “Write Word Lines”
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Design and Implementation of Low Power and High Speed 10T SRAM with High SNM
Abstract: The project introduces a low standby power 10T (LP10T) SRAM cell that focuses on achieving high read stability and write-ability while minimizing power consumption. The LP10T SRAM cell utilizes a strong cross-coupled structure that combines a standard inverter with a stacked transistor and a Schmitt-trigger inverter with a double-length pull-up transistor. One of the key advantages of the LP10T SRAM cell is that it separates the read path from the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 40–65 Read article
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A Reliable Low Standby Power 6T SRAM Cell
Abstract: The project introduces a low standby power 10T (LP10T) SRAM cell that focuses on achieving high read stability and write-ability while minimizing power consumption. The LP10T SRAM cell uses a robust cross-coupled design that combines a Schmitt-trigger inverter with a double-length pull-up transistor and a regular inverter with a stacking transistor. One of the key advantages of the LP10T SRAM cell is that it separates the read path from the …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 1, 2023 · pp. 33–59 Read article
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Personality and Behavior Identification Based on Handwriting Analysis
Abstract: Graphing is the process of identifying, evaluating, and understanding a person's personality traits through handwritten patterns. The accuracy of handwriting analysis depends on the skill of the analyst, it is expensive and prone to errors. The proposed approach is therefore focused on building a system that can predict personality traits with the help of machine learning without human intervention. In this project, 657 authors' handwritten samples were taken as datasets. …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 42–54 Read article
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Recognition of Unconstrained Handwritten Digits Using Feedforward MLP and Projection Profile
Abstract: AbstractThis paper presents a new approach to off-line handwritten numeral recognition using feedforward MLP and projection profile. Different writers have variations in their handwriting since each writer possesses own writing speed, own styles, sizes or positions for numeral or text. Recognition of handwritten numerals poses serious problems because of high variability in numeral shapes written by individuals. The performance of character recognition system depends heavily on what kind of features …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 2, 2015 · pp. 15–20 Read article