Results 21 to 30 of about 5,079,190 (348)

Robust Offset-Cancellation Sensing-Circuit-Based Spin-Transfer-Torque Nonvolatile Flip-Flop

IEEE Access, 2020
Nonvolatile flip-flop (NV-FF) based systems can be effectively implemented in battery-limited internet of things (IoT) applications due to their zero standby power consumption and instant ON/OFF characteristics. Among various NV-FFs, spin-transfer-torque
Taehui Na
doaj   +1 more source

Time to Digital Sensing for Multilevel RRAM Cells

IEEE Access, 2021
Memristors offer the possibility of implementing multilevel cells in Resistive RAMs providing high-density non-volatile data storage solutions. However the writing and reading processes when these devices are integrated into a crossbar is a problem that ...
Amadeo Gracia De Herranz, Marisa Lopez-Vallejo   +1 more
doaj   +1 more source

Variational sums for additive processes [PDF]

Proceedings of the American Mathematical Society, 1976
Let X ( t ) , 0 ≦ t ≦ T X(t),0 \leqq t \leqq T , be an additive process, and let X n k {X_{nk}} be the k k th increment of X ( t )
Hudson, William N., Mason, J. David
openaire   +2 more sources

Ultra-Low Power Oscillator Collapse Physical Unclonable Function Based on FinFET

IEEE Access, 2021
The main purpose of this paper is to achieve ultra-low power Physical Unclonable Function (PUF) to meet the requirements for Internet of Things (IoT) applications.
Amin A. Zayed, Hanady Hussein Issa, Khaled A. Shehata, Hani Fikry Ragai   +3 more
doaj   +1 more source

Stabilization of multiple resistance levels by current-sweep in SiOx-based resistive switching memory [PDF]

, 2015
Using current-sweep measurements, the set process in SiOx-based resistive random access memory (RRAM) has been found to consist of multiple resistance-reduction steps.
Byun, Kwangsub, Chang, Yao-Feng, Fowler, Burt, Lee, Jack C., Zhou, Fei   +4 more
core   +1 more source

Rapid Design-Space Exploration for Low-Power Manycores Under Process Variation Utilizing Machine Learning

IEEE Access, 2022
Design-space exploration for low-power manycore design is a daunting and time-consuming task which requires some complex tools and frameworks to achieve. In the presence of process variation, the problem becomes even more challenging, especially the time
Sohaib Majzoub, Resve Saleh, Mottaqiallah Taouil, Said Hamdioui, Mohamed Bamakhrama   +4 more
doaj   +1 more source

Dynamic Error Recovery Flow Prediction Based on Reusable Machine Learning for Low Latency NAND Flash Memory Under Process Variation

IEEE Access, 2022
NAND flash memory is becoming smaller and denser to have a larger storage capacity as technologies related to fine processes are developed. As a side effect of high-density integration, the memory can be vulnerable to circuit-level noise such as random ...
Minyoung Hwang, Jeongju Jee, Joonhyuk Kang, Hyuncheol Park, Seonmin Lee, Jinyoung Kim   +5 more
doaj   +1 more source

Compensation for Uneven Surfaces When Building Laser Deposited Structures [PDF]

, 2004
Direct Laser Deposition (DLD) is a blown-powder laser deposition process that can be used to quickly produce, modify or repair fully-dense metallic parts by a layered manufacturing method. However, uneven substrate surfaces often cause variation in the
Fearon, E., Watkins, K. G.
core   +1 more source

Simulation of between repeat variability in real time PCR reactions [PDF]

, 2012
While many decisions rely on real time quantitative PCR (qPCR) analysis few attempts have hitherto been made to quantify bounds of precision accounting for the various sources of variation involved in the measurement process.
Goetghebeur, Els, Lievens, Antoon, Van Aelst, Stefan, Van den Bulcke, Marc   +3 more
core   +3 more sources

Understanding Behavioral Sources of Process Variation Following Enterprise System Deployment [PDF]

, 2008
This paper extends the current understanding of the time-sensitivity of intent and usage following large-scale IT implementation. Our study focuses on perceived system misfit with organizational processes in tandem with the availability of system ...
Ajzen, Amoako-Gyampah, Armitage, Bachrach, Bachrach, Barki, Beaudry, Bendoly, Bendoly, Bendoly, Bendoly, Bendoly, Boudreau, Boyce, Brynjolfsson, Brynjolfsson, Brynjolfsson, Chau, Choi, Churchill, Cotteleer, Davenport, Davenport, Davis, Davis, DeSanctis, Dishaw, Dougherty, El Sawy, Elliot Bendoly, Festinger, Fishbein, Frei, Garvin, Gentry, George, Goodhue, Goodhue, Goodhue, Gopal, Griffith, Griffith, Jacobs, Leanna, Lee, Legris, Light, Mabert, Mahmood, Mark J. Cotteleer, Mathieson, Mayes, McAfee, Melnyk, Meyer, Narayanan, Nunnally, Oreg, Orlikowski, Poole, Rabinovich, Razi, Robbins, Robey, Rogers, Saxberg, Scheer, Schultz, Schultz, Schultze, Seely Brown, Shoemaker, Soh, Soh, Somers, Stein, Stratman, Szajna, Taylor, Taylor, Trott, Tyre, Tyre, Umanath, Van Stijn, Venkatesh, Venkatesh, Venkatesh, Venkatesh, Vroom, Weick, Weill, Weiss, Yin, Zammuto   +94 more
core   +2 more sources